Are you over 18 and want to see adult content?
More Annotations
A complete backup of https://decentralization.gov.ua
Are you over 18 and want to see adult content?
A complete backup of https://landflip.com
Are you over 18 and want to see adult content?
A complete backup of https://moviemaps.org
Are you over 18 and want to see adult content?
A complete backup of https://disfrutalasmatematicas.com
Are you over 18 and want to see adult content?
A complete backup of https://bovaruhuset.se
Are you over 18 and want to see adult content?
A complete backup of https://arworkshop.com
Are you over 18 and want to see adult content?
A complete backup of https://kattis.com
Are you over 18 and want to see adult content?
A complete backup of https://rundfunkbeitrag.de
Are you over 18 and want to see adult content?
A complete backup of https://houzez.co
Are you over 18 and want to see adult content?
A complete backup of https://marshallhouse.com
Are you over 18 and want to see adult content?
A complete backup of https://aklamio.com
Are you over 18 and want to see adult content?
A complete backup of https://perdu.nl
Are you over 18 and want to see adult content?
Favourite Annotations
A complete backup of https://ilhagrande.com.br
Are you over 18 and want to see adult content?
A complete backup of https://ninpou.jp
Are you over 18 and want to see adult content?
A complete backup of https://uk-freeads.co.uk
Are you over 18 and want to see adult content?
A complete backup of https://infoban.com.ar
Are you over 18 and want to see adult content?
A complete backup of https://coolchile.co.uk
Are you over 18 and want to see adult content?
A complete backup of https://canyoncourier.com
Are you over 18 and want to see adult content?
A complete backup of https://xusom.com
Are you over 18 and want to see adult content?
A complete backup of https://solidaires.org
Are you over 18 and want to see adult content?
A complete backup of https://sc-rg.ru
Are you over 18 and want to see adult content?
A complete backup of https://chaparral300.com
Are you over 18 and want to see adult content?
A complete backup of https://cartoonnetwork.it
Are you over 18 and want to see adult content?
A complete backup of https://apocalypse2011.com
Are you over 18 and want to see adult content?
Text
models.
PLASTIC SURGERY FOR GAN-GENERATED FACES Plastic Surgery For GAN-Generated Faces. New research out of South Korea promises to improve the quality of synthetic face data created by Generative Adversarial Networks (GANs). The system is capable of identifying image artifacts produced by GAN processes, and remediating them, even to the point of replacing hair that was obscured by a cap ROBOT ‘THINKS OUT LOUD’ DURING THOUGHT PROCESS Italian researchers have designed a robot that can ‘think out loud,’ which enables users to hear its thought process and gain deeper insight into the technology’s decision-making processes. Antonio Chella is co-author of the research, which was led by first author Arianna Pipitone at the University of Palermo. “If you wereable to hear what
MACHINE LEARNING FOR INVESTMENT MANAGEMENT IN 2021 Yes, machine learning and artificial intelligence in banking are pushing its boundaries, making it even more promising, profitable, smart, and secure. In this article, we will look at the future of these technologies for the fintech sector and focus on the WHAT IS A KNN (K-NEAREST NEIGHBORS)? What is K-Nearest Neighbors (KNN)? K-Nearest Neighbors is a machine learning technique and algorithm that can be used for both regression and classification tasks. K-Nearest Neighbors examines the labels of a chosen number of data points surrounding a target data point, in order to make a prediction about the class that the data point falls into. K-Nearest Neighbors (KNN) is a conceptually AI IS DRAMATICALLY CHANGING ARCHAEOLOGY, DISCOVERING NEW Artificial intelligence is being employed to help archaeologists find new dig sites and make new discoveries, drastically increasing the pace of archaeological research. As SingularityHub reported, artificial intelligence and computer vision algorithms are being used to analyze satellite image data and automate the process of detecting possible archeological sites in them. Thanks to the ARTIFICIAL INTELLIGENCE IS NOW BEING USED TO DETECT Data about bullying, self-harm and cyberbullying among school children around the world is becoming alarming. As presented by Jun Wu, data from the US shows that in 2017, According to the National Center for Education Statistics and Bureau of Justice, about 20% of students ages 12–18 experienced bullying. According to the Center for Disease Control and Prevention, 19% ROBOT ANTS AND SWARM INTELLIGENCE Researchers within Professor Jamie Paik’s Laboratory at Ecole Polytechnique Fédérale de Lausanne have developed ant-like robots that bring a whole new aspect to AI. These 10-gram robot ants don’t have much physical intelligence as individuals, but when you put a group together, they are able to communicate and act as a collectiveunit. They have
AI NEWS & ROBOTICS NEWS AI news that matters. Surveillance, AI bias, robotics, AGI, disruptive technologies. Also features interviews with Fortune 500 companies. TOP AI CONFERENCES 2021 & 2022 June 9, 2021. Re•Work AI for Fraud Detection Mini-Summit - 20% Discount Code: UNITEAI. Virtual Conference. June 10, 2021. Leveraging easy-to-use ML, NLP & Interactive 3D Data Visualization to Uncover Key Insights with Virtualitics - Free Event. Virtual Conference. June 10 to 11, 2021. DataX - WHAT IS META-LEARNING? What is Meta-Learning? One of the fastest-growing areas of research in machine learning is the area of meta-learning.Meta-learning, in the machine learning context, is the use of machine learning algorithms to assist in the training and optimization of other machine learningmodels.
PLASTIC SURGERY FOR GAN-GENERATED FACES Plastic Surgery For GAN-Generated Faces. New research out of South Korea promises to improve the quality of synthetic face data created by Generative Adversarial Networks (GANs). The system is capable of identifying image artifacts produced by GAN processes, and remediating them, even to the point of replacing hair that was obscured by a cap ROBOT ‘THINKS OUT LOUD’ DURING THOUGHT PROCESS Italian researchers have designed a robot that can ‘think out loud,’ which enables users to hear its thought process and gain deeper insight into the technology’s decision-making processes. Antonio Chella is co-author of the research, which was led by first author Arianna Pipitone at the University of Palermo. “If you wereable to hear what
MACHINE LEARNING FOR INVESTMENT MANAGEMENT IN 2021 Yes, machine learning and artificial intelligence in banking are pushing its boundaries, making it even more promising, profitable, smart, and secure. In this article, we will look at the future of these technologies for the fintech sector and focus on the WHAT IS A KNN (K-NEAREST NEIGHBORS)? What is K-Nearest Neighbors (KNN)? K-Nearest Neighbors is a machine learning technique and algorithm that can be used for both regression and classification tasks. K-Nearest Neighbors examines the labels of a chosen number of data points surrounding a target data point, in order to make a prediction about the class that the data point falls into. K-Nearest Neighbors (KNN) is a conceptually AI NEWS & ROBOTICS NEWS AI news that matters. Surveillance, AI bias, robotics, AGI, disruptive technologies. Also features interviews with Fortune 500 companies. VOICEWEAR TO POWER ANIMAZE STREAMING PLATFORM WITH 9 hours ago · Artificial intelligence (AI) tech company Modulate Inc has announced that Holotech Studios has selected VoiceWear to provide realistic and motive voice skins in Animaze, which is a platform focused on empowering streamers, content creators, artists, and consumers to create, buy, and sell state-of-the-art virtual content like avatars. Modulate Inc relies on AI to create a A 'DETECTIVE' AI CAN IDENTIFY OBSCURE PEOPLE FROM MULTIPLE 1 day ago · Researchers at Oxford University have developed an AI-enabled system that can comprehensively identify people in videos by conducting detective-like, multi-domain investigations as to who they might be, from context, and from a variety of publicly available secondary sources, including the matching of audio sources with visual material from the internet. Though the research centers on ENERGY-EFFICIENT DEVICE MADE FROM ARTIFICIAL NEURONS CAN The electronic devices that current neural network algorithms rely on require an intense amount of processing power, meaning these artificial intelligence (AI) systems are still far from being on par with the human brain for processing sensory information or interactions with the environment in real time. The key to overcoming this challenge could involve neuromorphic HOW DOES IMAGE CLASSIFICATION WORK? The most commonly used image classification algorithm in recent times is the Convolutional Neural Network (CNNs). CNNs are customized versions of neural networks that combine the multilayer neural networks with specialized layers that are capable of extracting the features most important and relevant to the classification of anobject.
WHAT IS SYNTHETIC DATA? What is Synthetic Data? Synthetic data is a quickly expanding trend and emerging tool in the field of data science.What is synthetic data exactly? The short answer is that synthetic data is comprised of data that isn’t based on any real-world phenomena or events, rather it’s generated via a computer program.Yet why is synthetic data becoming so important for data science? HALIM ABBAS, CHIEF AI OFFICER AT COGNOA Halim Abbas is the Chief AI Officer at Cognoa, he is an AI innovator and industry veteran who spearheaded world-class data science projects at game changing techs like eBay and Teradata. Cognoa is dedicated to creating an unparalleled standard of care in pediatric behavioral health that ensures equitable access to early intervention bydelivering high
AI CAN IDENTIFY A PERSON FROM A SINGLE FOOTSTEP A new research initiative has produced a low-cost system capable of identifying a person based on the sound of their footsteps, from as little as a single step. In the paper Passive mUlti-peRson idEntification via Deep Footstep Separation and Recognition (PURE), a collaboration between researchers from Nanyang Technological University and the University of Kentucky, among WHAT IS A KNN (K-NEAREST NEIGHBORS)? What is K-Nearest Neighbors (KNN)? K-Nearest Neighbors is a machine learning technique and algorithm that can be used for both regression and classification tasks. K-Nearest Neighbors examines the labels of a chosen number of data points surrounding a target data point, in order to make a prediction about the class that the data point falls into. K-Nearest Neighbors (KNN) is a conceptually WHAT ARE NANOBOTS? UNDERSTANDING NANOBOT STRUCTURE Most currently existing nanorobotic devices fall into one of four categories: switches, motors, shuttles, and cars. Nanorobotic switches operate by being prompted to switch from an “off” state to an “on” state. Environmental factors are used to make the machine change shape, a process called conformational change. AI NEWS & ROBOTICS NEWS AI news that matters. Surveillance, AI bias, robotics, AGI, disruptive technologies. Also features interviews with Fortune 500 companies. TOP AI CONFERENCES 2021 & 2022 June 9, 2021. Re•Work AI for Fraud Detection Mini-Summit - 20% Discount Code: UNITEAI. Virtual Conference. June 10, 2021. Leveraging easy-to-use ML, NLP & Interactive 3D Data Visualization to Uncover Key Insights with Virtualitics - Free Event. Virtual Conference. June 10 to 11, 2021. DataX - WHAT IS META-LEARNING? What is Meta-Learning? One of the fastest-growing areas of research in machine learning is the area of meta-learning.Meta-learning, in the machine learning context, is the use of machine learning algorithms to assist in the training and optimization of other machine learningmodels.
WHAT IS FEDERATED LEARNING? What is Federated Learning? The traditional method of training AI models involves setting up servers where models are trained on data, often through the use of a cloud-based computing platform. However, over the past few years an alternative form of model WHAT IS SYNTHETIC DATA? What is Synthetic Data? Synthetic data is a quickly expanding trend and emerging tool in the field of data science.What is synthetic data exactly? The short answer is that synthetic data is comprised of data that isn’t based on any real-world phenomena or events, rather it’s generated via a computer program.Yet why is synthetic data becoming so important for data science? 2021 IS THE YEAR OF AUTONOMOUS VEHICLES 2021 is the Year of Autonomous Vehicles. While 2020 was a successful year for Artificial Intelligence (AI), specifically the subfields of Machine Learning (ML) that are Deep Learning and Reinforcement Learning, there is one industry that is on the cusp of mass market adoption and that is autonomous vehicles. WHAT IS LINEAR REGRESSION? What is Linear Regression? Linear regression is an algorithm used to predict, or visualize, a relationship between two different features/variables.In linear regression tasks, there are two kinds of variables being examined: the dependent variable and the independent variable.The independent variable is the variable that stands by itself, not impacted by the other variable. WHAT IS FEW-SHOT LEARNING? What Is Few-Shot Learning? “Few-shot learning” describes the practice of training a machine learning model with a minimal amount of data. Typically, machine learning models are trained on large volumes of data, the larger the better. However, few-shot learning is an important machine learning concept for a few different reasons. MACHINE LEARNING FOR INVESTMENT MANAGEMENT IN 2021 Yes, machine learning and artificial intelligence in banking are pushing its boundaries, making it even more promising, profitable, smart, and secure. In this article, we will look at the future of these technologies for the fintech sector and focus on the WHAT IS A KNN (K-NEAREST NEIGHBORS)? What is K-Nearest Neighbors (KNN)? K-Nearest Neighbors is a machine learning technique and algorithm that can be used for both regression and classification tasks. K-Nearest Neighbors examines the labels of a chosen number of data points surrounding a target data point, in order to make a prediction about the class that the data point falls into. K-Nearest Neighbors (KNN) is a conceptually AI NEWS & ROBOTICS NEWS AI news that matters. Surveillance, AI bias, robotics, AGI, disruptive technologies. Also features interviews with Fortune 500 companies. TOP AI CONFERENCES 2021 & 2022 June 9, 2021. Re•Work AI for Fraud Detection Mini-Summit - 20% Discount Code: UNITEAI. Virtual Conference. June 10, 2021. Leveraging easy-to-use ML, NLP & Interactive 3D Data Visualization to Uncover Key Insights with Virtualitics - Free Event. Virtual Conference. June 10 to 11, 2021. DataX - WHAT IS META-LEARNING? What is Meta-Learning? One of the fastest-growing areas of research in machine learning is the area of meta-learning.Meta-learning, in the machine learning context, is the use of machine learning algorithms to assist in the training and optimization of other machine learningmodels.
WHAT IS FEDERATED LEARNING? What is Federated Learning? The traditional method of training AI models involves setting up servers where models are trained on data, often through the use of a cloud-based computing platform. However, over the past few years an alternative form of model WHAT IS SYNTHETIC DATA? What is Synthetic Data? Synthetic data is a quickly expanding trend and emerging tool in the field of data science.What is synthetic data exactly? The short answer is that synthetic data is comprised of data that isn’t based on any real-world phenomena or events, rather it’s generated via a computer program.Yet why is synthetic data becoming so important for data science? 2021 IS THE YEAR OF AUTONOMOUS VEHICLES 2021 is the Year of Autonomous Vehicles. While 2020 was a successful year for Artificial Intelligence (AI), specifically the subfields of Machine Learning (ML) that are Deep Learning and Reinforcement Learning, there is one industry that is on the cusp of mass market adoption and that is autonomous vehicles. WHAT IS LINEAR REGRESSION? What is Linear Regression? Linear regression is an algorithm used to predict, or visualize, a relationship between two different features/variables.In linear regression tasks, there are two kinds of variables being examined: the dependent variable and the independent variable.The independent variable is the variable that stands by itself, not impacted by the other variable. WHAT IS FEW-SHOT LEARNING? What Is Few-Shot Learning? “Few-shot learning” describes the practice of training a machine learning model with a minimal amount of data. Typically, machine learning models are trained on large volumes of data, the larger the better. However, few-shot learning is an important machine learning concept for a few different reasons. MACHINE LEARNING FOR INVESTMENT MANAGEMENT IN 2021 Yes, machine learning and artificial intelligence in banking are pushing its boundaries, making it even more promising, profitable, smart, and secure. In this article, we will look at the future of these technologies for the fintech sector and focus on the WHAT IS A KNN (K-NEAREST NEIGHBORS)? What is K-Nearest Neighbors (KNN)? K-Nearest Neighbors is a machine learning technique and algorithm that can be used for both regression and classification tasks. K-Nearest Neighbors examines the labels of a chosen number of data points surrounding a target data point, in order to make a prediction about the class that the data point falls into. K-Nearest Neighbors (KNN) is a conceptually WHAT IS META-LEARNING? What is Meta-Learning? One of the fastest-growing areas of research in machine learning is the area of meta-learning.Meta-learning, in the machine learning context, is the use of machine learning algorithms to assist in the training and optimization of other machine learningmodels.
WHAT IS SYNTHETIC DATA? What is Synthetic Data? Synthetic data is a quickly expanding trend and emerging tool in the field of data science.What is synthetic data exactly? The short answer is that synthetic data is comprised of data that isn’t based on any real-world phenomena or events, rather it’s generated via a computer program.Yet why is synthetic data becoming so important for data science? A COCKROACH WITH AI-ENABLED SEARCH AND RESCUE EQUIPMENT International robotics researchers have developed an Urban Search And Rescue (USAR) system that uses a ‘steerable’ live cockroach to transport a miniaturized machine learning-enabled infrared survivor detection system through otherwise unnavigable disaster scenarios. The system is a collaboration between research departments in Singapore, China, Germany and the UK. It uses the NEW WHITEPAPER ESTABLISHES CERTIFICATION METHODOLOGY FOR 18 hours ago · A new whitepaper by TÜV AUSTRIA and the Institute for Machine Learning at Johannes Kepler University (JKU) has established a certification methodology for Artificial Intelligence (AI) algorithms. The paper first acknowledges how AI is one of the fastest growing subject areas around the globe, being behind many everyday applications involving image recognition, recommendation A 'DETECTIVE' AI CAN IDENTIFY OBSCURE PEOPLE FROM MULTIPLE 20 hours ago · Researchers at Oxford University have developed an AI-enabled system that can comprehensively identify people in videos by conducting detective-like, multi-domain investigations as to who they might be, from context, and from a variety of publicly available secondary sources, including the matching of audio sources with visual material from the internet. Though the research centers on ENERGY-EFFICIENT DEVICE MADE FROM ARTIFICIAL NEURONS CAN 1 day ago · The electronic devices that current neural network algorithms rely on require an intense amount of processing power, meaning these artificial intelligence (AI) systems are still far from being on par with the human brain for processing sensory information or interactions with the environment in real time. The key to overcoming this challenge could involve neuromorphic WHAT IS FEDERATED LEARNING? What is Federated Learning? The traditional method of training AI models involves setting up servers where models are trained on data, often through the use of a cloud-based computing platform. However, over the past few years an alternative form of model WHAT IS OVERFITTING? What is Overfitting? When you train a neural network, you have to avoid overfitting. Overfitting is an issue within machine learning and statistics where a model learns the patterns of a training dataset too well, perfectly explaining the training data set but failing to generalize its predictive power to other sets of data.. To put that another way, in the case of an overfitting model it will DAVE BOUNDY IS THE CTO AT INNOWATTS 15 hours ago · Dave Boundy is the CTO at Innowatts, a leader in AI data analytics.Our SaaS platform provides companies with the data needed to be more predictive, proactive and connected to their customers and ratepayers, helping them better manage risk, improve profitability, maintain grid reliability and anticipate sustainabilitytrends.
HALIM ABBAS, CHIEF AI OFFICER AT COGNOA 1 day ago · Halim Abbas is the Chief AI Officer at Cognoa, he is an AI innovator and industry veteran who spearheaded world-class data science projects at game changing techs like eBay and Teradata. Cognoa is dedicated to creating an unparalleled standard of care in pediatric behavioral health that ensures equitable access to early interventionby delivering high
AI NEWS & ROBOTICS NEWS AI news that matters. Surveillance, AI bias, robotics, AGI, disruptive technologies. Also features interviews with Fortune 500 companies. TOP AI CONFERENCES 2021 & 2022 June 9, 2021. Re•Work AI for Fraud Detection Mini-Summit - 20% Discount Code: UNITEAI. Virtual Conference. June 10, 2021. Leveraging easy-to-use ML, NLP & Interactive 3D Data Visualization to Uncover Key Insights with Virtualitics - Free Event. Virtual Conference. June 10 to 11, 2021. DataX - WHAT IS META-LEARNING? What is Meta-Learning? One of the fastest-growing areas of research in machine learning is the area of meta-learning.Meta-learning, in the machine learning context, is the use of machine learning algorithms to assist in the training and optimization of other machine learningmodels.
WHAT IS FEDERATED LEARNING? What is Federated Learning? The traditional method of training AI models involves setting up servers where models are trained on data, often through the use of a cloud-based computing platform. However, over the past few years an alternative form of model WHAT IS LINEAR REGRESSION? What is Linear Regression? Linear regression is an algorithm used to predict, or visualize, a relationship between two different features/variables.In linear regression tasks, there are two kinds of variables being examined: the dependent variable and the independent variable.The independent variable is the variable that stands by itself, not impacted by the other variable. 2021 IS THE YEAR OF AUTONOMOUS VEHICLES 2021 is the Year of Autonomous Vehicles. While 2020 was a successful year for Artificial Intelligence (AI), specifically the subfields of Machine Learning (ML) that are Deep Learning and Reinforcement Learning, there is one industry that is on the cusp of mass market adoption and that is autonomous vehicles. WHAT IS SYNTHETIC DATA? What is Synthetic Data? Synthetic data is a quickly expanding trend and emerging tool in the field of data science.What is synthetic data exactly? The short answer is that synthetic data is comprised of data that isn’t based on any real-world phenomena or events, rather it’s generated via a computer program.Yet why is synthetic data becoming so important for data science? WHAT IS FEW-SHOT LEARNING? What Is Few-Shot Learning? “Few-shot learning” describes the practice of training a machine learning model with a minimal amount of data. Typically, machine learning models are trained on large volumes of data, the larger the better. However, few-shot learning is an important machine learning concept for a few different reasons. MACHINE LEARNING FOR INVESTMENT MANAGEMENT IN 2021 Yes, machine learning and artificial intelligence in banking are pushing its boundaries, making it even more promising, profitable, smart, and secure. In this article, we will look at the future of these technologies for the fintech sector and focus on the WHAT IS A KNN (K-NEAREST NEIGHBORS)? What is K-Nearest Neighbors (KNN)? K-Nearest Neighbors is a machine learning technique and algorithm that can be used for both regression and classification tasks. K-Nearest Neighbors examines the labels of a chosen number of data points surrounding a target data point, in order to make a prediction about the class that the data point falls into. K-Nearest Neighbors (KNN) is a conceptually AI NEWS & ROBOTICS NEWS AI news that matters. Surveillance, AI bias, robotics, AGI, disruptive technologies. Also features interviews with Fortune 500 companies. TOP AI CONFERENCES 2021 & 2022 June 9, 2021. Re•Work AI for Fraud Detection Mini-Summit - 20% Discount Code: UNITEAI. Virtual Conference. June 10, 2021. Leveraging easy-to-use ML, NLP & Interactive 3D Data Visualization to Uncover Key Insights with Virtualitics - Free Event. Virtual Conference. June 10 to 11, 2021. DataX - WHAT IS META-LEARNING? What is Meta-Learning? One of the fastest-growing areas of research in machine learning is the area of meta-learning.Meta-learning, in the machine learning context, is the use of machine learning algorithms to assist in the training and optimization of other machine learningmodels.
WHAT IS SYNTHETIC DATA? What is Synthetic Data? Synthetic data is a quickly expanding trend and emerging tool in the field of data science.What is synthetic data exactly? The short answer is that synthetic data is comprised of data that isn’t based on any real-world phenomena or events, rather it’s generated via a computer program.Yet why is synthetic data becoming so important for data science? 2021 IS THE YEAR OF AUTONOMOUS VEHICLES 2021 is the Year of Autonomous Vehicles. While 2020 was a successful year for Artificial Intelligence (AI), specifically the subfields of Machine Learning (ML) that are Deep Learning and Reinforcement Learning, there is one industry that is on the cusp of mass market adoption and that is autonomous vehicles. WHAT IS FEDERATED LEARNING? What is Federated Learning? The traditional method of training AI models involves setting up servers where models are trained on data, often through the use of a cloud-based computing platform. However, over the past few years an alternative form of model WHAT IS LINEAR REGRESSION? What is Linear Regression? Linear regression is an algorithm used to predict, or visualize, a relationship between two different features/variables.In linear regression tasks, there are two kinds of variables being examined: the dependent variable and the independent variable.The independent variable is the variable that stands by itself, not impacted by the other variable. WHAT IS FEW-SHOT LEARNING? What Is Few-Shot Learning? “Few-shot learning” describes the practice of training a machine learning model with a minimal amount of data. Typically, machine learning models are trained on large volumes of data, the larger the better. However, few-shot learning is an important machine learning concept for a few different reasons. MACHINE LEARNING FOR INVESTMENT MANAGEMENT IN 2021 Yes, machine learning and artificial intelligence in banking are pushing its boundaries, making it even more promising, profitable, smart, and secure. In this article, we will look at the future of these technologies for the fintech sector and focus on the WHAT IS A KNN (K-NEAREST NEIGHBORS)? What is K-Nearest Neighbors (KNN)? K-Nearest Neighbors is a machine learning technique and algorithm that can be used for both regression and classification tasks. K-Nearest Neighbors examines the labels of a chosen number of data points surrounding a target data point, in order to make a prediction about the class that the data point falls into. K-Nearest Neighbors (KNN) is a conceptually TOP AI CONFERENCES 2021 & 2022 June 9, 2021. Re•Work AI for Fraud Detection Mini-Summit - 20% Discount Code: UNITEAI. Virtual Conference. June 10, 2021. Leveraging easy-to-use ML, NLP & Interactive 3D Data Visualization to Uncover Key Insights with Virtualitics - Free Event. Virtual Conference. June 10 to 11, 2021. DataX - WHAT IS META-LEARNING? What is Meta-Learning? One of the fastest-growing areas of research in machine learning is the area of meta-learning.Meta-learning, in the machine learning context, is the use of machine learning algorithms to assist in the training and optimization of other machine learningmodels.
COVID-19 ARCHIVES
An international team of researchers has applied AI models to find already existing drugs that can treat Covid-19 in elderly patients. The research team applied autoencoder The British government intends to employ AI systems in the review of possible safety concerns for Covid-19 vaccinations. The ENERGY-EFFICIENT DEVICE MADE FROM ARTIFICIAL NEURONS CAN 1 day ago · The electronic devices that current neural network algorithms rely on require an intense amount of processing power, meaning these artificial intelligence (AI) systems are still far from being on par with the human brain for processing sensory information or interactions with the environment in real time. The key to overcoming this challenge could involve neuromorphic A 'DETECTIVE' AI CAN IDENTIFY OBSCURE PEOPLE FROM MULTIPLE 18 hours ago · Researchers at Oxford University have developed an AI-enabled system that can comprehensively identify people in videos by conducting detective-like, multi-domain investigations as to who they might be, from context, and from a variety of publicly available secondary sources, including the matching of audio sources with visual material from the internet. Though the research centers on WHAT IS SYNTHETIC DATA? What is Synthetic Data? Synthetic data is a quickly expanding trend and emerging tool in the field of data science.What is synthetic data exactly? The short answer is that synthetic data is comprised of data that isn’t based on any real-world phenomena or events, rather it’s generated via a computer program.Yet why is synthetic data becoming so important for data science? WHAT IS FEDERATED LEARNING? What is Federated Learning? The traditional method of training AI models involves setting up servers where models are trained on data, often through the use of a cloud-based computing platform. However, over the past few years an alternative form of model GOOGLE'S LIPSYNC3D OFFERS IMPROVED 'DEEPFAKED' MOUTH 1 day ago · A collaboration between Google AI researchers and the Indian Institute of Technology Kharagpur offers a new framework to synthesize talking heads from audio content. The project aims to produce optimized and reasonably-resourced ways to create ‘talking head’ video content from audio, for the purposes of synching lip movements to dubbed or machine-translated audio, and for HALIM ABBAS, CHIEF AI OFFICER AT COGNOA 1 day ago · Halim Abbas is the Chief AI Officer at Cognoa, he is an AI innovator and industry veteran who spearheaded world-class data science projects at game changing techs like eBay and Teradata. Cognoa is dedicated to creating an unparalleled standard of care in pediatric behavioral health that ensures equitable access to early interventionby delivering high
‘DEEP FAKES’ COULD SOON MAKE IT INTO GEOGRAPHY The concerns over ‘deep fakes’ are starting to expand into other areas, such as geographical information science (GIS). Researchers at Binghamton University are now beginning to address this potential problem. The team includes Associate Professor of Geography Chengbin Deng, and four other colleagues, including Bo Zhao and Yifan Sun at the University of Washington, and AI NEWS & ROBOTICS NEWS AI news that matters. Surveillance, AI bias, robotics, AGI, disruptive technologies. Also features interviews with Fortune 500 companies. TOP AI CONFERENCES 2021 & 2022 June 9, 2021. Re•Work AI for Fraud Detection Mini-Summit - 20% Discount Code: UNITEAI. Virtual Conference. June 10, 2021. Leveraging easy-to-use ML, NLP & Interactive 3D Data Visualization to Uncover Key Insights with Virtualitics - Free Event. Virtual Conference. June 10 to 11, 2021. DataX - WHAT IS META-LEARNING? What is Meta-Learning? One of the fastest-growing areas of research in machine learning is the area of meta-learning.Meta-learning, in the machine learning context, is the use of machine learning algorithms to assist in the training and optimization of other machine learningmodels.
WHAT IS FEDERATED LEARNING? What is Federated Learning? The traditional method of training AI models involves setting up servers where models are trained on data, often through the use of a cloud-based computing platform. However, over the past few years an alternative form of model WHAT IS LINEAR REGRESSION? What is Linear Regression? Linear regression is an algorithm used to predict, or visualize, a relationship between two different features/variables.In linear regression tasks, there are two kinds of variables being examined: the dependent variable and the independent variable.The independent variable is the variable that stands by itself, not impacted by the other variable. 2021 IS THE YEAR OF AUTONOMOUS VEHICLES 2021 is the Year of Autonomous Vehicles. While 2020 was a successful year for Artificial Intelligence (AI), specifically the subfields of Machine Learning (ML) that are Deep Learning and Reinforcement Learning, there is one industry that is on the cusp of mass market adoption and that is autonomous vehicles. WHAT IS SYNTHETIC DATA? What is Synthetic Data? Synthetic data is a quickly expanding trend and emerging tool in the field of data science.What is synthetic data exactly? The short answer is that synthetic data is comprised of data that isn’t based on any real-world phenomena or events, rather it’s generated via a computer program.Yet why is synthetic data becoming so important for data science? WHAT IS FEW-SHOT LEARNING? What Is Few-Shot Learning? “Few-shot learning” describes the practice of training a machine learning model with a minimal amount of data. Typically, machine learning models are trained on large volumes of data, the larger the better. However, few-shot learning is an important machine learning concept for a few different reasons. MACHINE LEARNING FOR INVESTMENT MANAGEMENT IN 2021 Yes, machine learning and artificial intelligence in banking are pushing its boundaries, making it even more promising, profitable, smart, and secure. In this article, we will look at the future of these technologies for the fintech sector and focus on the WHAT IS A KNN (K-NEAREST NEIGHBORS)? What is K-Nearest Neighbors (KNN)? K-Nearest Neighbors is a machine learning technique and algorithm that can be used for both regression and classification tasks. K-Nearest Neighbors examines the labels of a chosen number of data points surrounding a target data point, in order to make a prediction about the class that the data point falls into. K-Nearest Neighbors (KNN) is a conceptually AI NEWS & ROBOTICS NEWS AI news that matters. Surveillance, AI bias, robotics, AGI, disruptive technologies. Also features interviews with Fortune 500 companies. TOP AI CONFERENCES 2021 & 2022 June 9, 2021. Re•Work AI for Fraud Detection Mini-Summit - 20% Discount Code: UNITEAI. Virtual Conference. June 10, 2021. Leveraging easy-to-use ML, NLP & Interactive 3D Data Visualization to Uncover Key Insights with Virtualitics - Free Event. Virtual Conference. June 10 to 11, 2021. DataX - WHAT IS META-LEARNING? What is Meta-Learning? One of the fastest-growing areas of research in machine learning is the area of meta-learning.Meta-learning, in the machine learning context, is the use of machine learning algorithms to assist in the training and optimization of other machine learningmodels.
WHAT IS FEDERATED LEARNING? What is Federated Learning? The traditional method of training AI models involves setting up servers where models are trained on data, often through the use of a cloud-based computing platform. However, over the past few years an alternative form of model WHAT IS LINEAR REGRESSION? What is Linear Regression? Linear regression is an algorithm used to predict, or visualize, a relationship between two different features/variables.In linear regression tasks, there are two kinds of variables being examined: the dependent variable and the independent variable.The independent variable is the variable that stands by itself, not impacted by the other variable. 2021 IS THE YEAR OF AUTONOMOUS VEHICLES 2021 is the Year of Autonomous Vehicles. While 2020 was a successful year for Artificial Intelligence (AI), specifically the subfields of Machine Learning (ML) that are Deep Learning and Reinforcement Learning, there is one industry that is on the cusp of mass market adoption and that is autonomous vehicles. WHAT IS SYNTHETIC DATA? What is Synthetic Data? Synthetic data is a quickly expanding trend and emerging tool in the field of data science.What is synthetic data exactly? The short answer is that synthetic data is comprised of data that isn’t based on any real-world phenomena or events, rather it’s generated via a computer program.Yet why is synthetic data becoming so important for data science? WHAT IS FEW-SHOT LEARNING? What Is Few-Shot Learning? “Few-shot learning” describes the practice of training a machine learning model with a minimal amount of data. Typically, machine learning models are trained on large volumes of data, the larger the better. However, few-shot learning is an important machine learning concept for a few different reasons. MACHINE LEARNING FOR INVESTMENT MANAGEMENT IN 2021 Yes, machine learning and artificial intelligence in banking are pushing its boundaries, making it even more promising, profitable, smart, and secure. In this article, we will look at the future of these technologies for the fintech sector and focus on the WHAT IS A KNN (K-NEAREST NEIGHBORS)? What is K-Nearest Neighbors (KNN)? K-Nearest Neighbors is a machine learning technique and algorithm that can be used for both regression and classification tasks. K-Nearest Neighbors examines the labels of a chosen number of data points surrounding a target data point, in order to make a prediction about the class that the data point falls into. K-Nearest Neighbors (KNN) is a conceptually TOP AI CONFERENCES 2021 & 2022 June 9, 2021. Re•Work AI for Fraud Detection Mini-Summit - 20% Discount Code: UNITEAI. Virtual Conference. June 10, 2021. Leveraging easy-to-use ML, NLP & Interactive 3D Data Visualization to Uncover Key Insights with Virtualitics - Free Event. Virtual Conference. June 10 to 11, 2021. DataX - WHAT IS META-LEARNING? What is Meta-Learning? One of the fastest-growing areas of research in machine learning is the area of meta-learning.Meta-learning, in the machine learning context, is the use of machine learning algorithms to assist in the training and optimization of other machine learningmodels.
COVID-19 ARCHIVES
1 day ago · An international team of researchers has applied AI models to find already existing drugs that can treat Covid-19 in elderly patients. The research team applied autoencoder The British government intends to employ AI systems in the review of possible safety concerns for Covid-19 vaccinations. The ENERGY-EFFICIENT DEVICE MADE FROM ARTIFICIAL NEURONS CAN 22 hours ago · The electronic devices that current neural network algorithms rely on require an intense amount of processing power, meaning these artificial intelligence (AI) systems are still far from being on par with the human brain for processing sensory information or interactions with the environment in real time. The key to overcoming this challenge could involve neuromorphic A 'DETECTIVE' AI CAN IDENTIFY OBSCURE PEOPLE FROM MULTIPLE Researchers at Oxford University have developed an AI-enabled system that can comprehensively identify people in videos by conducting detective-like, multi-domain investigations as to who they might be, from context, and from a variety of publicly available secondary sources, including the matching of audio sources with visual material from the internet. Though the research centers on WHAT IS SYNTHETIC DATA? What is Synthetic Data? Synthetic data is a quickly expanding trend and emerging tool in the field of data science.What is synthetic data exactly? The short answer is that synthetic data is comprised of data that isn’t based on any real-world phenomena or events, rather it’s generated via a computer program.Yet why is synthetic data becoming so important for data science? WHAT IS FEDERATED LEARNING? What is Federated Learning? The traditional method of training AI models involves setting up servers where models are trained on data, often through the use of a cloud-based computing platform. However, over the past few years an alternative form of model GOOGLE'S LIPSYNC3D OFFERS IMPROVED 'DEEPFAKED' MOUTH 1 day ago · A collaboration between Google AI researchers and the Indian Institute of Technology Kharagpur offers a new framework to synthesize talking heads from audio content. The project aims to produce optimized and reasonably-resourced ways to create ‘talking head’ video content from audio, for the purposes of synching lip movements to dubbed or machine-translated audio, and for HALIM ABBAS, CHIEF AI OFFICER AT COGNOA 20 hours ago · Halim Abbas is the Chief AI Officer at Cognoa, he is an AI innovator and industry veteran who spearheaded world-class data science projects at game changing techs like eBay and Teradata. Cognoa is dedicated to creating an unparalleled standard of care in pediatric behavioral health that ensures equitable access to early interventionby delivering high
‘DEEP FAKES’ COULD SOON MAKE IT INTO GEOGRAPHY The concerns over ‘deep fakes’ are starting to expand into other areas, such as geographical information science (GIS). Researchers at Binghamton University are now beginning to address this potential problem. The team includes Associate Professor of Geography Chengbin Deng, and four other colleagues, including Bo Zhao and Yifan Sun at the University of Washington, and AI NEWS & ROBOTICS NEWS AI news that matters. Surveillance, AI bias, robotics, AGI, disruptive technologies. Also features interviews with Fortune 500 companies. TOP AI CONFERENCES 2021 & 2022 Re•Work MLOps Virtual Summit - 20% Discount Code: UNITEAI. Virtual Conference. June 8 to 10, 2021. Virtual ODSC Europe 2021 - 30% Discount Code: ODSCEurope_VC_UniteAI. Virtual Conference. June 9, 2021. Re•Work AI for Fraud Detection Mini-Summit - 20% Discount Code: UNITEAI. Virtual Conference. June 10 to 11, 2021. WHAT IS META-LEARNING? What is Meta-Learning? One of the fastest-growing areas of research in machine learning is the area of meta-learning.Meta-learning, in the machine learning context, is the use of machine learning algorithms to assist in the training and optimization of other machine learningmodels.
HOW DOES IMAGE CLASSIFICATION WORK? The most commonly used image classification algorithm in recent times is the Convolutional Neural Network (CNNs). CNNs are customized versions of neural networks that combine the multilayer neural networks with specialized layers that are capable of extracting the features most important and relevant to the classification of anobject.
WHAT IS LINEAR REGRESSION? What is Linear Regression? Linear regression is an algorithm used to predict, or visualize, a relationship between two different features/variables.In linear regression tasks, there are two kinds of variables being examined: the dependent variable and the independent variable.The independent variable is the variable that stands by itself, not impacted by the other variable. MACHINE LEARNING FOR INVESTMENT MANAGEMENT IN 2021 Yes, machine learning and artificial intelligence in banking are pushing its boundaries, making it even more promising, profitable, smart, and secure. In this article, we will look at the future of these technologies for the fintech sector and focus on the WHAT IS FEW-SHOT LEARNING? What Is Few-Shot Learning? “Few-shot learning” describes the practice of training a machine learning model with a minimal amount of data. Typically, machine learning models are trained on large volumes of data, the larger the better. However, few-shot learning is an important machine learning concept for a few different reasons. ROBOT ‘THINKS OUT LOUD’ DURING THOUGHT PROCESS Italian researchers have designed a robot that can ‘think out loud,’ which enables users to hear its thought process and gain deeper insight into the technology’s decision-making processes. Antonio Chella is co-author of the research, which was led by first author Arianna Pipitone at the University of Palermo. “If you wereable to hear what
AI IS DRAMATICALLY CHANGING ARCHAEOLOGY, DISCOVERING NEW Artificial intelligence is being employed to help archaeologists find new dig sites and make new discoveries, drastically increasing the pace of archaeological research. As SingularityHub reported, artificial intelligence and computer vision algorithms are being used to analyze satellite image data and automate the process of detecting possible archeological sites in them. Thanks to the ROBOT ANTS AND SWARM INTELLIGENCE Researchers within Professor Jamie Paik’s Laboratory at Ecole Polytechnique Fédérale de Lausanne have developed ant-like robots that bring a whole new aspect to AI. These 10-gram robot ants don’t have much physical intelligence as individuals, but when you put a group together, they are able to communicate and act as a collectiveunit. They have
AI NEWS & ROBOTICS NEWS AI news that matters. Surveillance, AI bias, robotics, AGI, disruptive technologies. Also features interviews with Fortune 500 companies. TOP AI CONFERENCES 2021 & 2022 Re•Work MLOps Virtual Summit - 20% Discount Code: UNITEAI. Virtual Conference. June 8 to 10, 2021. Virtual ODSC Europe 2021 - 30% Discount Code: ODSCEurope_VC_UniteAI. Virtual Conference. June 9, 2021. Re•Work AI for Fraud Detection Mini-Summit - 20% Discount Code: UNITEAI. Virtual Conference. June 10 to 11, 2021. WHAT IS META-LEARNING? What is Meta-Learning? One of the fastest-growing areas of research in machine learning is the area of meta-learning.Meta-learning, in the machine learning context, is the use of machine learning algorithms to assist in the training and optimization of other machine learningmodels.
HOW DOES IMAGE CLASSIFICATION WORK? The most commonly used image classification algorithm in recent times is the Convolutional Neural Network (CNNs). CNNs are customized versions of neural networks that combine the multilayer neural networks with specialized layers that are capable of extracting the features most important and relevant to the classification of anobject.
WHAT IS LINEAR REGRESSION? What is Linear Regression? Linear regression is an algorithm used to predict, or visualize, a relationship between two different features/variables.In linear regression tasks, there are two kinds of variables being examined: the dependent variable and the independent variable.The independent variable is the variable that stands by itself, not impacted by the other variable. MACHINE LEARNING FOR INVESTMENT MANAGEMENT IN 2021 Yes, machine learning and artificial intelligence in banking are pushing its boundaries, making it even more promising, profitable, smart, and secure. In this article, we will look at the future of these technologies for the fintech sector and focus on the WHAT IS FEW-SHOT LEARNING? What Is Few-Shot Learning? “Few-shot learning” describes the practice of training a machine learning model with a minimal amount of data. Typically, machine learning models are trained on large volumes of data, the larger the better. However, few-shot learning is an important machine learning concept for a few different reasons. ROBOT ‘THINKS OUT LOUD’ DURING THOUGHT PROCESS Italian researchers have designed a robot that can ‘think out loud,’ which enables users to hear its thought process and gain deeper insight into the technology’s decision-making processes. Antonio Chella is co-author of the research, which was led by first author Arianna Pipitone at the University of Palermo. “If you wereable to hear what
AI IS DRAMATICALLY CHANGING ARCHAEOLOGY, DISCOVERING NEW Artificial intelligence is being employed to help archaeologists find new dig sites and make new discoveries, drastically increasing the pace of archaeological research. As SingularityHub reported, artificial intelligence and computer vision algorithms are being used to analyze satellite image data and automate the process of detecting possible archeological sites in them. Thanks to the ROBOT ANTS AND SWARM INTELLIGENCE Researchers within Professor Jamie Paik’s Laboratory at Ecole Polytechnique Fédérale de Lausanne have developed ant-like robots that bring a whole new aspect to AI. These 10-gram robot ants don’t have much physical intelligence as individuals, but when you put a group together, they are able to communicate and act as a collectiveunit. They have
WHAT IS META-LEARNING? What is Meta-Learning? One of the fastest-growing areas of research in machine learning is the area of meta-learning.Meta-learning, in the machine learning context, is the use of machine learning algorithms to assist in the training and optimization of other machine learningmodels.
A COCKROACH WITH AI-ENABLED SEARCH AND RESCUE EQUIPMENT 1 day ago · International robotics researchers have developed an Urban Search And Rescue (USAR) system that uses a ‘steerable’ live cockroach to transport a miniaturized machine learning-enabled infrared survivor detection system through otherwise unnavigable disaster scenarios.. The system is a collaboration between research departments in Singapore, China, Germany and the UK.COVID-19 ARCHIVES
11 hours ago · An international team of researchers has applied AI models to find already existing drugs that can treat Covid-19 in elderly patients. The research team applied autoencoder The British government intends to employ AI systems in the review of possible safety concerns for Covid-19 vaccinations. The HOW DOES IMAGE CLASSIFICATION WORK? The most commonly used image classification algorithm in recent times is the Convolutional Neural Network (CNNs). CNNs are customized versions of neural networks that combine the multilayer neural networks with specialized layers that are capable of extracting the features most important and relevant to the classification of anobject.
GOOGLE'S LIPSYNC3D OFFERS IMPROVED 'DEEPFAKED' MOUTH 3 hours ago · A collaboration between Google AI researchers and the Indian Institute of Technology Kharagpur offers a new framework to synthesize talking heads from audio content. The project aims to produce optimized and reasonably-resourced ways to create ‘talking head’ video content from audio, for the purposes of synching lip movements to dubbed or machine-translated audio, and for ‘DEEP FAKES’ COULD SOON MAKE IT INTO GEOGRAPHY The concerns over ‘deep fakes’ are starting to expand into other areas, such as geographical information science (GIS). Researchers at Binghamton University are now beginning to address this potential problem. The team includes Associate Professor of Geography Chengbin Deng, and four other colleagues, including Bo Zhao and Yifan Sun at the University of Washington, and THE STRUGGLE TO STOP AI FROM CHEATING ON TESTS New research findings from a Chinese university offer an insight into why generative natural language processing models such as GPT-3 tend to ‘cheat’ when asked a difficult question, producing answers that may be technically correct, but without any real understanding of why the answer is correct; and why they demonstrate little or no abilityto
NERF MOVES ANOTHER STEP CLOSER TO REPLACING CGI Researchers at MIT and Google have taken a big step in solving one of the most fundamental obstacles for an emerging AI-driven technology that may eventually replace CGI – separating neural radiance field imagery into its constituent visual components, so that the imagery can be re-textured and re-lit. The new approach, called NeRFactor,effectively splits
NEW PROTOTYPE SOFTWARE DEVELOPED FOR QUILTING DESIGN 1 day ago · A computer science graduate at Stanford University has developed new prototype software that can facilitate pattern-making for foundation paper piecing, which is a form of quilting. Paper piecing involves the use of a backing made of foundation paper to lay out and sew quilted designs. There are not many guidelines for developing a foundation paper NEW MODEL EXPLORES HIGH-SPEED MOVEMENT IN CHEETAHS Cheetahs are the fastest land mammals, but we still don’t know exactly why. We have insight into how, such as the use of a “galloping” gait at their fastest speeds, and they have two different types of “flight.” The first involves their forelimbs and hind limbs beneath their body and is called “gathered flight,”while
AI NEWS & ROBOTICS NEWS AI news that matters. Surveillance, AI bias, robotics, AGI, disruptive technologies. Also features interviews with Fortune 500 companies. TOP AI CONFERENCES 2021 & 2022 Re•Work MLOps Virtual Summit - 20% Discount Code: UNITEAI. Virtual Conference. June 8 to 10, 2021. Virtual ODSC Europe 2021 - 30% Discount Code: ODSCEurope_VC_UniteAI. Virtual Conference. June 9, 2021. Re•Work AI for Fraud Detection Mini-Summit - 20% Discount Code: UNITEAI. Virtual Conference. June 10 to 11, 2021. WHAT IS META-LEARNING? What is Meta-Learning? One of the fastest-growing areas of research in machine learning is the area of meta-learning.Meta-learning, in the machine learning context, is the use of machine learning algorithms to assist in the training and optimization of other machine learningmodels.
HOW DOES IMAGE CLASSIFICATION WORK? The most commonly used image classification algorithm in recent times is the Convolutional Neural Network (CNNs). CNNs are customized versions of neural networks that combine the multilayer neural networks with specialized layers that are capable of extracting the features most important and relevant to the classification of anobject.
WHAT IS LINEAR REGRESSION? What is Linear Regression? Linear regression is an algorithm used to predict, or visualize, a relationship between two different features/variables.In linear regression tasks, there are two kinds of variables being examined: the dependent variable and the independent variable.The independent variable is the variable that stands by itself, not impacted by the other variable. MACHINE LEARNING FOR INVESTMENT MANAGEMENT IN 2021 Yes, machine learning and artificial intelligence in banking are pushing its boundaries, making it even more promising, profitable, smart, and secure. In this article, we will look at the future of these technologies for the fintech sector and focus on the WHAT IS FEW-SHOT LEARNING? What Is Few-Shot Learning? “Few-shot learning” describes the practice of training a machine learning model with a minimal amount of data. Typically, machine learning models are trained on large volumes of data, the larger the better. However, few-shot learning is an important machine learning concept for a few different reasons. ROBOT ‘THINKS OUT LOUD’ DURING THOUGHT PROCESS Italian researchers have designed a robot that can ‘think out loud,’ which enables users to hear its thought process and gain deeper insight into the technology’s decision-making processes. Antonio Chella is co-author of the research, which was led by first author Arianna Pipitone at the University of Palermo. “If you wereable to hear what
AI IS DRAMATICALLY CHANGING ARCHAEOLOGY, DISCOVERING NEW Artificial intelligence is being employed to help archaeologists find new dig sites and make new discoveries, drastically increasing the pace of archaeological research. As SingularityHub reported, artificial intelligence and computer vision algorithms are being used to analyze satellite image data and automate the process of detecting possible archeological sites in them. Thanks to the ROBOT ANTS AND SWARM INTELLIGENCE Researchers within Professor Jamie Paik’s Laboratory at Ecole Polytechnique Fédérale de Lausanne have developed ant-like robots that bring a whole new aspect to AI. These 10-gram robot ants don’t have much physical intelligence as individuals, but when you put a group together, they are able to communicate and act as a collectiveunit. They have
AI NEWS & ROBOTICS NEWS AI news that matters. Surveillance, AI bias, robotics, AGI, disruptive technologies. Also features interviews with Fortune 500 companies. TOP AI CONFERENCES 2021 & 2022 Re•Work MLOps Virtual Summit - 20% Discount Code: UNITEAI. Virtual Conference. June 8 to 10, 2021. Virtual ODSC Europe 2021 - 30% Discount Code: ODSCEurope_VC_UniteAI. Virtual Conference. June 9, 2021. Re•Work AI for Fraud Detection Mini-Summit - 20% Discount Code: UNITEAI. Virtual Conference. June 10 to 11, 2021. WHAT IS META-LEARNING? What is Meta-Learning? One of the fastest-growing areas of research in machine learning is the area of meta-learning.Meta-learning, in the machine learning context, is the use of machine learning algorithms to assist in the training and optimization of other machine learningmodels.
HOW DOES IMAGE CLASSIFICATION WORK? The most commonly used image classification algorithm in recent times is the Convolutional Neural Network (CNNs). CNNs are customized versions of neural networks that combine the multilayer neural networks with specialized layers that are capable of extracting the features most important and relevant to the classification of anobject.
WHAT IS LINEAR REGRESSION? What is Linear Regression? Linear regression is an algorithm used to predict, or visualize, a relationship between two different features/variables.In linear regression tasks, there are two kinds of variables being examined: the dependent variable and the independent variable.The independent variable is the variable that stands by itself, not impacted by the other variable. MACHINE LEARNING FOR INVESTMENT MANAGEMENT IN 2021 Yes, machine learning and artificial intelligence in banking are pushing its boundaries, making it even more promising, profitable, smart, and secure. In this article, we will look at the future of these technologies for the fintech sector and focus on the WHAT IS FEW-SHOT LEARNING? What Is Few-Shot Learning? “Few-shot learning” describes the practice of training a machine learning model with a minimal amount of data. Typically, machine learning models are trained on large volumes of data, the larger the better. However, few-shot learning is an important machine learning concept for a few different reasons. ROBOT ‘THINKS OUT LOUD’ DURING THOUGHT PROCESS Italian researchers have designed a robot that can ‘think out loud,’ which enables users to hear its thought process and gain deeper insight into the technology’s decision-making processes. Antonio Chella is co-author of the research, which was led by first author Arianna Pipitone at the University of Palermo. “If you wereable to hear what
AI IS DRAMATICALLY CHANGING ARCHAEOLOGY, DISCOVERING NEW Artificial intelligence is being employed to help archaeologists find new dig sites and make new discoveries, drastically increasing the pace of archaeological research. As SingularityHub reported, artificial intelligence and computer vision algorithms are being used to analyze satellite image data and automate the process of detecting possible archeological sites in them. Thanks to the ROBOT ANTS AND SWARM INTELLIGENCE Researchers within Professor Jamie Paik’s Laboratory at Ecole Polytechnique Fédérale de Lausanne have developed ant-like robots that bring a whole new aspect to AI. These 10-gram robot ants don’t have much physical intelligence as individuals, but when you put a group together, they are able to communicate and act as a collectiveunit. They have
WHAT IS META-LEARNING? What is Meta-Learning? One of the fastest-growing areas of research in machine learning is the area of meta-learning.Meta-learning, in the machine learning context, is the use of machine learning algorithms to assist in the training and optimization of other machine learningmodels.
A COCKROACH WITH AI-ENABLED SEARCH AND RESCUE EQUIPMENT 1 day ago · International robotics researchers have developed an Urban Search And Rescue (USAR) system that uses a ‘steerable’ live cockroach to transport a miniaturized machine learning-enabled infrared survivor detection system through otherwise unnavigable disaster scenarios.. The system is a collaboration between research departments in Singapore, China, Germany and the UK.COVID-19 ARCHIVES
10 hours ago · An international team of researchers has applied AI models to find already existing drugs that can treat Covid-19 in elderly patients. The research team applied autoencoder The British government intends to employ AI systems in the review of possible safety concerns for Covid-19 vaccinations. The HOW DOES IMAGE CLASSIFICATION WORK? The most commonly used image classification algorithm in recent times is the Convolutional Neural Network (CNNs). CNNs are customized versions of neural networks that combine the multilayer neural networks with specialized layers that are capable of extracting the features most important and relevant to the classification of anobject.
GOOGLE'S LIPSYNC3D OFFERS IMPROVED 'DEEPFAKED' MOUTH 2 hours ago · A collaboration between Google AI researchers and the Indian Institute of Technology Kharagpur offers a new framework to synthesize talking heads from audio content. The project aims to produce optimized and reasonably-resourced ways to create ‘talking head’ video content from audio, for the purposes of synching lip movements to dubbed or machine-translated audio, and for ‘DEEP FAKES’ COULD SOON MAKE IT INTO GEOGRAPHY The concerns over ‘deep fakes’ are starting to expand into other areas, such as geographical information science (GIS). Researchers at Binghamton University are now beginning to address this potential problem. The team includes Associate Professor of Geography Chengbin Deng, and four other colleagues, including Bo Zhao and Yifan Sun at the University of Washington, and THE STRUGGLE TO STOP AI FROM CHEATING ON TESTS New research findings from a Chinese university offer an insight into why generative natural language processing models such as GPT-3 tend to ‘cheat’ when asked a difficult question, producing answers that may be technically correct, but without any real understanding of why the answer is correct; and why they demonstrate little or no abilityto
NERF MOVES ANOTHER STEP CLOSER TO REPLACING CGI Researchers at MIT and Google have taken a big step in solving one of the most fundamental obstacles for an emerging AI-driven technology that may eventually replace CGI – separating neural radiance field imagery into its constituent visual components, so that the imagery can be re-textured and re-lit. The new approach, called NeRFactor,effectively splits
NEW PROTOTYPE SOFTWARE DEVELOPED FOR QUILTING DESIGN 1 day ago · A computer science graduate at Stanford University has developed new prototype software that can facilitate pattern-making for foundation paper piecing, which is a form of quilting. Paper piecing involves the use of a backing made of foundation paper to lay out and sew quilted designs. There are not many guidelines for developing a foundation paper NEW MODEL EXPLORES HIGH-SPEED MOVEMENT IN CHEETAHS Cheetahs are the fastest land mammals, but we still don’t know exactly why. We have insight into how, such as the use of a “galloping” gait at their fastest speeds, and they have two different types of “flight.” The first involves their forelimbs and hind limbs beneath their body and is called “gathered flight,”while
* News
* Artificial General Intelligence * Artificial Neural Networks * Autonomous Vehicles * Brain Machine Interface* Data Science
* COVID-19
* Cybersecurity
* Deep Learning
* Deepfakes
* Education
* Environment
* Ethics
* Facial Recognition* Healthcare
* Investments
* Manufacturing
* Natural Language Processing* Quantum Computing
* Regulation
* Reinforcement Learning* Robotics
* Speech Recognition* Startups
* Surveillance
* Virtual Assistants* AI 101
* Autoencoder
* Backpropagation
* Bayes Theorem
* Big Data
* Computer Vision
* Confusion Matrix
* Convolutional Neural Networks* Cybersecurity
* Decision Tree
* Data Science
* Deepfakes
* Deep Learning
* Deep Reinforcement Learning * Dimensionality Reduction * Edge AI & Edge Computing* Ensemble Learning
* Federated Learning* Few-Shot Learning
* Generative Adversarial Network * Generative vs Discriminative Models* Gradient Boosting
* Gradient Descent
* Image Classification * K-Means Clustering * K-Nearest Neighbors* Linear Regression
* Long Short-Term Memory (LSTM)* Machine Learning
* Meta-Learning
* Nanobots
* Natural Language Processing * Natural Language Understanding* Neural Networks
* Overfitting
* Quantum Computers
* Recurrent Neural Networks * Reinforcement Learning * Robotic Process Automation (RPA) * Structured vs Unstructured Data * Supervised vs Unsupervised * Support Vector Machines* Synthetic Data
* Text Classification* Transfer Learning
* Transformer Neural Networks* Turing Test
* Certifications
* Blockchain
* Cloud
* Cybersecurity
* Data Science
* Machine Learning
* Natural Language Processing* Python
* Robotic Process Automation* TensorFlow
* Courses
* Conferences
* AI Conferences
* Cybersecurity Conferences * Robotics Conferences* Interviews
* Thought Leaders
* Newsletters
* Organizations
* Meet the Team
* Our Charter
* Contact Us
Connect with us
*
*
*
*
UNITE.AI
* News
* A - C
* Artificial General Intelligence * Artificial Neural Networks * Autonomous Vehicles * Brain Machine Interface* COVID-19
* Cybersecurity
* D - F
* Data Science
* Deepfakes
* Deep Learning
* Education
* Ethics
* Environment
* Facial Recognition* G - Q
* Healthcare
* Investments
* Manufacturing
* Natural Language Processing* Quantum Computing
* R - Z
* Regulation
* Reinforcement Learning* Robotics
* Speech Recognition* Startups
* Surveillance
* Virtual Assistants* AI 101
* A - D
* Autoencoder
* Backpropagation
* Bayes Theorem
* Big Data
* Computer Vision
* Confusion Matrix
* Convolutional Neural Networks* Cybersecurity
* Data Science
* Decision Tree
* Deepfakes
* Deep Learning
* Deep Reinforcement Learning* D - K
* Dimensionality Reduction* Edge AI
* Ensemble Learning
* Federated Learning* Few-Shot Learning
* Generative Adversarial Network (GAN) * Generative vs. Discriminative Models* Gradient Boosting
* Gradient Descent
* Image Classification * K-Means Clustering * K-Nearest Neighbors* L - Q
* Linear Regression
* Long Short-Term Memory* Machine Learning
* Meta-Learning
* Nanobots
* Natural Language Processing * Natural Language Understanding* Neural Networks
* Overfitting
* Quantum Computers
* Recurrent Neural Networks* R - Z
* Reinforcement Learning * Robotic Process Automation (RPA) * Structured vs Unstructured Data * Supervised vs Unsupervised Learning * Support Vector Machines* Synthetic Data
* Text Classification* Transfer Learning
* Transformer Neural Networks* Turing Test
* Certifications
* Blockchain
* Cloud
* Cybersecurity
* Data Science
* Machine Learning
* Natural Language Processing* Python
* Robotic Process Automation* TensorFlow
* Conferences
* Artificial Intelligence* Cybersecurity
* Robotics
* Interviews
* Thought Leaders
* Meet the Team
* Contact
LATEST
Natural Language Processing 8 seconds agoBy Martin Anderson
PREVENTING ‘HALLUCINATION’ IN GPT-3 AND OTHER COMPLEX LANGUAGEMODELS
Robotics 9 hours agoBy Alex McFarland
SCIENTISTS DEVELOP NEW FORMULA FOR ENERGY-EFFICIENT ROBOTS Deepfakes 3 days agoBy Alex McFarland
‘DEEP FAKES’ COULD SOON MAKE IT INTO GEOGRAPHY Image Synthesis 3 days agoBy Martin Anderson
NERF MOVES ANOTHER STEP CLOSER TO REPLACING CGIRobotics 4 days ago
By Alex McFarland
NEW MODEL EXPLORES HIGH-SPEED MOVEMENT IN CHEETAHS, BRINGING US CLOSERTO LEGGED ROBOTS
Natural Language Processing 4 days agoBy Martin Anderson
THE STRUGGLE TO STOP AI FROM CHEATING ON TESTSMORE NEWS
*
Interviews 5 days agoBy Antoine Tardif
SAM STONE, PM, PRICING AT OPENDOOR – INTERVIEW SERIES Sam is passionate about building products at the intersection of finance and machine learning. He is currently the Head of Product for the Pricing Group at Opendoor,...*
Environment 5 days agoBy Alex McFarland
AI-CONTROLLED CROP HARVESTER COULD HAVE BIG IMPLICATIONS FOR ENERGYSUSTAINABILITY
Physicists at the Technical University of Denmark have developed the world’s smallest fruit harvester controlled by artificial intelligence (AI), which enables a harvester measuring just a...*
Environment 5 days agoBy Martin Anderson
ASSESSING CARBON CAPTURE IN TREES WITH MACHINE LEARNING New research from IBM aims to quantify the extent to which trees capture carbon and improve the environment, using just aerial imagery and available LiDAR data....*
Image Synthesis 5 days agoBy Alex McFarland
RESEARCHERS DEVELOP NEW METHOD FOR CONTROLLING AI IMAGE GENERATION Researchers from North Carolina State University have developed a new method for controlling artificial intelligence (AI) image generation, which could be used in fields like autonomous...*
Thought Leaders 6 days ago By Maksym Tatariants APPLYING AI TO REAL-TIME VIDEO PROCESSING: THE BASICS AND MORE By Maksym Tatariants, Data Science Engineer at MobiDev. There’s nothing new about using artificial intelligence (AI) in video processing. If you look beyond image processing—it’s one of themost...
More Posts
Page 1 of 17212 3
4 5
Next ›
Last »
RECENT INTERVIEWS
*
Sam Stone, PM, Pricing at Opendoor*
Gaurav Bubna, Co-Founder of NextBillion.ai*
Dr. Judith Bishop, Senior Director of AI Specialists at Appen*
Muddu Sudhakar, CEO and Co-Founder of Aisera*
Dr. Davin Lundquist, MD, Chief Medical Officer at Augmedix* Meet the Team
* Our Charter
* Press Tools
* Contact Us
ADVERTISER DISCLOSURE: Unite.AI is committed to rigorous editorial standards to provide our readers with accurate information and news. We may receive compensation when you click on links to products wereviewed.
*
*
*
*
Copyright © 2021 Unite.AI* Editorial Policy
* Privacy Policy
* Terms and Conditions__
Details
Copyright © 2024 ArchiveBay.com. All rights reserved. Terms of Use | Privacy Policy | DMCA | 2021 | Feedback | Advertising | RSS 2.0