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According to the “2021 Artificial Intelligence Development White Paper” released by Shenzhen AI Industry Association, in 2020, the scale of China’s key AI industry reached RMB 325.1 billion (USD 50.75 billion), a year-on-year increase of 16.7 percent. by Synced. YOSHUA BENGIO TEAM DESIGNS CONSCIOUSNESS-INSPIRED PLANNING 2 hours ago · Imagine you’re in an airport, searching for your departure gate. Humans have an excellent ability to extract relevant information from unfamiliar environments to guide us toward a specific goal. This practical conscious processing of information, aka consciousness in the first sense (C1), is achieved by focusing on a small subset of relevant variables from anContinue Reading IEEE PUBLISHES COMPREHENSIVE SURVEY OF BOTTOM-UP AND TOP 1 day ago · An IEEE team provides a comprehensive overview of the bottom-up and top-down design approaches toward neuromorphic intelligence, highlighting the different levels of granularity present in existing silicon implementations and assessing the benefits of the different circuit design styles in neural processing systems.EDGE COMPUTING
An IEEE team provides a comprehensive overview of the bottom-up and top-down design approaches toward neuromorphic intelligence, highlighting the different levels of granularity present in existing silicon implementations and assessing the benefits of PIETER ABBEEL TEAM’S DECISION TRANSFORMER ABSTRACTS RL AS Recent studies have shown that transformers can model high-dimensional distributions of semantic concepts at scale, opening up the intriguing possibility of formalizing sequential decision-making problems as reinforcement learning (RL). New research from a UC Berkeley, Facebook AI Research and Google Brain team that includes esteemed Belgian professor Pieter Abbeel explores GOOGLE PROPOSES EFFICIENT AND MODULAR IMPLICIT A new Google Research study has proposed a unified, efficient and modular approach for implicit differentiation of optimization problems that combines the benefits of implicit differentiation and automatic differentiation (autodiff). The researchers say solvers equipped with implicit differentiation set up by the proposed framework can make the autodiff process more efficient for end-users BEIJING‘S HARDCORE VLOGGER COMES UP WITH SELF-DRIVING On April Fool's Day in 2016, Google secretly uploaded a video of an autonomous bicycle roaming through the busy streets. Two days after the post went viral, Google clarified that it was actually the result of superb video editing. Google's "manned" self-driving vehicles on April Fool's Day Five years later, Zhi Hui Jun, a vloggerContinueReading
JAPANESE GOVERNMENT TO FUND HALF OF TSMC’S 340 MILLION According to Nikkei reports, the Japanese government will provide half of the funds for TSMC's relocation research facility in the Ibaraki Prefecture, which is north of Tokyo, and it is expected that R&D will be officially launched in 2022. The R&D will be conducted alongside 20 Japanese companies, including Ibiden, Asahi Kasei, Shin-Etsu Chemical, Nagase,Continue Reading ETH ZÜRICH IDENTIFIES PRIORS THAT BOOST BAYESIAN DEEP It’s well known across the machine learning community that choosing the right prior — an initial belief re an event expressed in terms of a probability distribution — is crucial for Bayesian inference. Many recent Bayesian deep learning models however resort to established but uninformative or weak informative priors that may have detrimental consequences onContinue ReadingIMITATION LEARNING
A research team from Google Brain conducts a comprehensive empirical study on more than fifty choices in a generic adversarial imitation learning framework and explores their impacts on large-scale (>500k trained agents) continuous-control tasks to provide practical insights and recommendations for designing novel and effective AIL algorithms. DIDI AUTONOMOUS DRIVING TO POCKET USD 300 MILLION Didi Autonomous Driving is to complete a USD 300 million new round of financing, with USD 200 million from the Guangzhou Automobile Group and its capital investment arm. Since Didi's autonomous driving unit split from Didi Chuxing back in 2019, the company has raised a total of more than USD 1.1 billion. A person familiarContinue Reading 120 MILLION DEGREES CELSIUS “BURNING” IN 101 SECONDS On May 28, the magnetic fusion energy reactor Experimental Advanced Superconducting Tokamak (EAST), known as the "artificial sun", at the Hefei Institute of Material Science of Chinese Academy of Sciences, set a new world record by reaching a experimentally repeatable 120 million degrees celsius in 101 seconds, and 160 million degrees celsius in 20 secondsContinue Reading TSINGHUA UNIVERSITY ROLLS OUT QUANTUM INFORMATION CLASS On May 24, Tsinghua University announced the establishment of quantum information class, led by Turing Award winner Professor Andrew Chi-Chih Yao as the chief professor. This will be Tsinghua's first undergraduate training program in the field of quantum information, and the third designated talent training program initiated by Professor Yao in Tsinghua, after his renownedContinue MICROSOFT & PEKING U RESEARCHERS IDENTIFY ‘KNOWLEDGE Large-scale pretrained transformers learn from corpuses containing oceans of factual knowledge, and are surprisingly good at recalling this knowledge without any fine-tuning. In a new paper, a team from Microsoft Research and Peking University peeps into pretrained transformers, proposing a method to identify the “knowledge neurons” responsible for storing this knowledge and how they GOOGLE REPLACES BERT SELF-ATTENTION WITH FOURIER TRANSFORM Transformer architectures have come to dominate the natural language processing (NLP) field since their 2017 introduction. One of the only limitations to transformer application is the huge computational overhead of its key component — a self-attention mechanism that scales with quadratic complexity with regard to sequence length.New research from a Google team proposes replacing HUMAN FEEDBACK IMPROVES OPENAI MODEL SUMMARIZATIONS Human Feedback Improves OpenAI Model Summarizations. OpenAI sets out to advance methods for training large-scale language models on objectives that more closely capture human preferences. In a new paper, a team of OpenAI researchers sets out to advance methods for training large-scale language models such as BERT on objectives thatmore closely
ICLR 2020 ACCEPTED PAPERS ANNOUNCED The International Conference on Learning Representations ICLR 2020 is four months away but has already attracted more than its share of drama with a deluge of submissions and doubts about the qualifications of some reviewers. Yesterday the conference programme chairs finally put the selection process behind them, announcing 687 out of 2594 papers had madeContinue Reading UMLSBERT: CLINICAL DOMAIN KNOWLEDGE AUGMENTATION OF UmlsBERT is a deep Transformer network architecture that incorporates clinical domain knowledge from a clinical Metathesaurus in order to build ‘semantically enriched’ contextual representations that will benefit from both the contextual learning and domain knowledge. CHINESE RESEARCHERS USE CNNS TO CLASSIFY 3000-YEAR-OLD Chinese Researchers Use CNNs to Classify 3000-Year-Old Oracle Bone Scripts. by Synced. 2020-03-11. Comments 10. The earliest evidence of China’s recorded history is found in the Shang dynasty (~1600 to 1046 BC), and this has survived thanks largely to oracle bones (甲骨 – jiǎgǔ) which carry the oldest known ancient Chinese scripts. GOING BEYOND GAN? NEW DEEPMIND VAE MODEL GENERATES HIGH Generative adversarial networks (GANs) have become AI researchers' “go-to” technique for generating photo-realistic synthetic images. Now, DeepMind researchers say that there may be a better option. In a new paper, the Google-owned research company introduces its VQ-VAE 2 model for large scale image generation. The model is said to yield results competitive with state-of-the-art DIDI AUTONOMOUS DRIVING TO POCKET USD 300 MILLION Didi Autonomous Driving is to complete a USD 300 million new round of financing, with USD 200 million from the Guangzhou Automobile Group and its capital investment arm. Since Didi's autonomous driving unit split from Didi Chuxing back in 2019, the company has raised a total of more than USD 1.1 billion. A person familiarContinue Reading 120 MILLION DEGREES CELSIUS “BURNING” IN 101 SECONDS On May 28, the magnetic fusion energy reactor Experimental Advanced Superconducting Tokamak (EAST), known as the "artificial sun", at the Hefei Institute of Material Science of Chinese Academy of Sciences, set a new world record by reaching a experimentally repeatable 120 million degrees celsius in 101 seconds, and 160 million degrees celsius in 20 secondsContinue Reading TSINGHUA UNIVERSITY ROLLS OUT QUANTUM INFORMATION CLASS On May 24, Tsinghua University announced the establishment of quantum information class, led by Turing Award winner Professor Andrew Chi-Chih Yao as the chief professor. This will be Tsinghua's first undergraduate training program in the field of quantum information, and the third designated talent training program initiated by Professor Yao in Tsinghua, after his renownedContinue MICROSOFT & PEKING U RESEARCHERS IDENTIFY ‘KNOWLEDGE Large-scale pretrained transformers learn from corpuses containing oceans of factual knowledge, and are surprisingly good at recalling this knowledge without any fine-tuning. In a new paper, a team from Microsoft Research and Peking University peeps into pretrained transformers, proposing a method to identify the “knowledge neurons” responsible for storing this knowledge and how they GOOGLE REPLACES BERT SELF-ATTENTION WITH FOURIER TRANSFORM Transformer architectures have come to dominate the natural language processing (NLP) field since their 2017 introduction. One of the only limitations to transformer application is the huge computational overhead of its key component — a self-attention mechanism that scales with quadratic complexity with regard to sequence length.New research from a Google team proposes replacing HUMAN FEEDBACK IMPROVES OPENAI MODEL SUMMARIZATIONS Human Feedback Improves OpenAI Model Summarizations. OpenAI sets out to advance methods for training large-scale language models on objectives that more closely capture human preferences. In a new paper, a team of OpenAI researchers sets out to advance methods for training large-scale language models such as BERT on objectives thatmore closely
ICLR 2020 ACCEPTED PAPERS ANNOUNCED The International Conference on Learning Representations ICLR 2020 is four months away but has already attracted more than its share of drama with a deluge of submissions and doubts about the qualifications of some reviewers. Yesterday the conference programme chairs finally put the selection process behind them, announcing 687 out of 2594 papers had madeContinue Reading UMLSBERT: CLINICAL DOMAIN KNOWLEDGE AUGMENTATION OF UmlsBERT is a deep Transformer network architecture that incorporates clinical domain knowledge from a clinical Metathesaurus in order to build ‘semantically enriched’ contextual representations that will benefit from both the contextual learning and domain knowledge. CHINESE RESEARCHERS USE CNNS TO CLASSIFY 3000-YEAR-OLD Chinese Researchers Use CNNs to Classify 3000-Year-Old Oracle Bone Scripts. by Synced. 2020-03-11. Comments 10. The earliest evidence of China’s recorded history is found in the Shang dynasty (~1600 to 1046 BC), and this has survived thanks largely to oracle bones (甲骨 – jiǎgǔ) which carry the oldest known ancient Chinese scripts. GOING BEYOND GAN? NEW DEEPMIND VAE MODEL GENERATES HIGH Generative adversarial networks (GANs) have become AI researchers' “go-to” technique for generating photo-realistic synthetic images. Now, DeepMind researchers say that there may be a better option. In a new paper, the Google-owned research company introduces its VQ-VAE 2 model for large scale image generation. The model is said to yield results competitive with state-of-the-artSYNCED
A research team from DeepMind and Onshape combines a general-purpose language modelling technique and an off-the-shelf data serialization protocol to propose a machine learning model that can automatically generate high-quality sketches for GOOGLE PROPOSES EFFICIENT AND MODULAR IMPLICIT 1 day ago · A new Google Research study has proposed a unified, efficient and modular approach for implicit differentiation of optimization problems that combines the benefits of implicit differentiation and automatic differentiation (autodiff). The researchers say solvers equipped with implicit differentiation set up by the proposed framework can make the autodiff process more efficientfor end-users
WHAT MATTERS IN ADVERSARIAL IMITATION LEARNING? GOOGLE 2 hours ago · A research team from Google Brain conducts a comprehensive empirical study on more than fifty choices in a generic adversarial imitation learning framework and explores their impacts on large-scale (>500k trained agents) continuous-control tasks to provide practical insights and recommendations for designing novel and effective AIL algorithms. FUKUSHIMA AND TOYOTA TO BUILD FUTURE HYDROGEN-BASED SMART 1 day ago · To meet the goal of carbon neutrality, Japan's Fukushima Prefecture and conglomerate Toyota announced the plan to build a hydrogen-powered smart city on June 4. A dozen of companies including Asahi Group, Aeon, and Isuzu Motors is to participate in the project as of the announcement date. The project plans to build an implementation modelContinue Reading MICROSOFT & ONEFLOW LEVERAGE THE EFFICIENT CODING The performance of deep neural networks (DNNs) relies heavily on their structures, and designing a good structure (aka architecture) tends to require extensive effort from human experts. The idea of an automatic structure-learning algorithm that can achieve performance on par with the best human-designed structures is thus increasingly appealing to machine learning researchers.In theIMITATION LEARNING
A research team from Google Brain conducts a comprehensive empirical study on more than fifty choices in a generic adversarial imitation learning framework and explores their impacts on large-scale (>500k trained agents) continuous-control tasks to provide practical insights and recommendations for designing novel and effective AIL algorithms.DIFFERENTIATION
A research team from Google Research combines the benefits of implicit differentiation and autodiff and proposes a unified, efficient and modular approach for THE U.S. INCREASES BANNED INVESTMENT LIST FOR “MILITARY On June 3, the White House and the Office of Foreign Assets Control (OFAC) of the Treasury Department announced a new ban signed by the Biden administration restricting American investment in 59 Chinese companies, including companies such as Huawei, Hikvision, and SMIC. On the grounds of responding to the threat of Chinese military industrial enterprises,Continue Reading AI HALLOWEEN AVATARS! STYLEGAN2 GENERATOR REVEALS YOUR The popular StyleGAN (Style Generative Adversarial Network) is a GAN architecture extension open-sourced by Nvidia in 2019 that can generate impressively photorealistic images while enabling user control over image style. This year’s new and improved StyleGAN2 has redefined the state-of-the-art in image generation — and has alsoinspired a
DEEPMIND INTRODUCES ‘EATS’ DeepMind wowed the research community several years ago by defeating grandmasters in the ancient game of Go, and more recently saw its self-taught agents thrash pros in the video game StarCraft II. Now, the UK-based AI company has delivered another impressive innovation, this time in text-to-speech (TTS).Text-to-speech (TTS) systems take natural language text as inputContinue ReadingSYNCED
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MACHINE INTELLIGENCE UPDATESSEE ALL POSTSAI Industry
Technology
WHY AI IS READING YOUR RESUME AND WHAT CAN YOU DO ABOUT IT Artificial intelligence can help companies navigate a global human resource market that is projected to reach US$30 billion by 2025, due in large part to technological proliferation. by Synced 2019-08-31Number of comments0
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MEET MICROSOFT SUPHX: THE WORLD’S STRONGEST MAHJONG AIAI Technology
ADVERSARIAL PATCH ON HAT FOOLS SOTA FACIAL RECOGNITIONAI Technology
AI CREATES FASHION MODELS WITH CUSTOM OUTFITS AND POSESAI Industry
DATA ANNOTATION: THE BILLION DOLLAR BUSINESS BEHIND AI BREAKTHROUGHSAI Industry
HUMANS DON’T REALIZE HOW BIASED THEY ARE UNTIL AI REPRODUCES THE SAME BIAS, SAYS UNESCO AI CHAIRLATEST POSTS
by Synced 2019-08-31Number of comments0
AI Industry
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WHY AI IS READING YOUR RESUME AND WHAT CAN YOU DO ABOUT IT Artificial intelligence can help companies navigate a global human resource market that is projected to reach US$30 billion by 2025, due in large part to technological proliferation. by Synced 2019-08-30Number of comments0
AI Conference
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MEET MICROSOFT SUPHX: THE WORLD’S STRONGEST MAHJONG AI At the Shanghai World Artificial Intelligence Conference (WAIC) on August 29, Microsoft’s Global Executive Vice President Harry Shum officially introduced MSRA’s Suphx (“Super Phoenix”) as “the most powerful Mahjong AI in history,” by Synced 2019-08-29Number of comments0
AI Technology
ADVERSARIAL PATCH ON HAT FOOLS SOTA FACIAL RECOGNITION Researchers from Lomonosov Moscow State University and Huawei Moscow Research Center have introduced a wearable card designed to perform the opposite function — concealing a person’s identity from facial recognition systems. by Synced 2019-08-291
AI Technology
AI CREATES FASHION MODELS WITH CUSTOM OUTFITS AND POSES A new research paper from Berlin-based unicorn fashion and technology company Zalando uses generative adversarial networks (GANs) to produce high-resolution images of virtual fashion models ready to model clothes of any style. by Synced 2019-08-281
AI Industry
DATA ANNOTATION: THE BILLION DOLLAR BUSINESS BEHIND AI BREAKTHROUGHS Most insiders Synced interviewed agreed that machine learning training methods which require less labeled data — such as weakly supervised learning, few-shot learning and unsupervised learning — are achieving some promising results. by Synced 2019-08-27Number of comments0
Technology
OPENAI METHOD EVALUATES MODEL DEFENSE AGAINST UNFORESEEN ADVERSARIALEXAMPLES
To ramp up the robustness of neural networks, researchers from OpenAI have introduced a novel method that evaluates how well a neural network classifier performs against adversarial attacks that were not seen during their training. by Synced 2019-08-263
AI Industry
HUMANS DON’T REALIZE HOW BIASED THEY ARE UNTIL AI REPRODUCES THE SAME BIAS, SAYS UNESCO AI CHAIR In a recent interview with Synced, Shawe-Taylor spoke on his role at UNESCO, emerging AI trends and the tech’s unseemly side, human-centered AI research, and the progress of AI in Europe. by Synced 2019-08-252
AI AI Weekly
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CALIFORNIA STARTUP BUILDS WORLDS LARGEST AI CHIP; OPEN AI RELEASES 774M PARAMETER LANGUAGE MODEL; WAYMO SHARES ITS OPEN DATASET Synced Global AI Weekly August 25th by Synced 2019-08-24Number of comments0
Technology
AUTONOMOUS DELIVERY MOVES FROM RESEARCH LABS TO THE STREETS According to multinational consulting firm McKinsey & Company, by the year 2025 some 85 percent of last-mile deliveries will be carried by autonomous vehicles. by Synced 2019-08-231
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HUAWEI’S FIRST COMMERCIAL AI CHIP DOUBLES THE TRAINING PERFORMANCE OF NVIDIA’S FLAGSHIP GPU Ascend 910 delivers performance of up to 256 teraFLOPS under FP16 and 512 teraOPS under IN8 with declared max power consumption of 310W. by Synced 2019-08-23Number of comments0
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MIT & ADOBE INTRODUCE REAL TIME AR TOOL FOR STORYTELLING Researchers from MIT Media Lab and Adobe Research recently introduced a real-time interactive augmented video system that enables presenters to use their bodies as storytelling tools by linking gestures to illustrative virtual graphic elements. by Synced 2019-08-221
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SHARED MACHINE LEARNING: ANT FINANCIAL’S SOLUTION FOR DATA PRIVACY One of the world’s largest financial companies, Alibaba subsidiary Ant Financial, recently introduced Shared Machine Learning (SML) as their solution for data privacy. by Synced 2019-08-22Number of comments0
AI Technology
AUTOML + GAN = AUTOGAN! AI CAN NOW DESIGN BETTER GAN MODELS THANHUMANS
Thanks to the creation of AutoML — which is essentially automated neural architecture search (NAS) — AI can now design better deep neural networks than human researchers for computer vision tasks such as image classification and object detection. by Synced 2019-08-21Number of comments0
AI Technology
HOW TO HIDE YOUR FEELINGS FROM AI VOICE ASSISTANTS No matter whether the conversations commence with “Ok, Google”, “Hello Alexa”, or “Hey Siri”, tech giants Apple, Amazon, Facebook, Google and Microsoft have all granted third-party contractors access to their users’ many interactions with voiceassistants.
by Synced 2019-08-20Number of comments0
AI Technology
SEOUL NATIONAL UNIVERSITY AI USES TEXT TAGS TO COLOURIZE LINE DRAWINGS Let’s say you’ve just sketched a portrait but don’t have the inclination to hand-colour your creation. Wouldn’t it be nice if you could simply tell an artificial intelligence assistant what colours you want and have it do the rest? Well, now you can! by Synced 2019-08-20Number of comments0
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HOT CHIPS | A CALIFORNIA STARTUP HAS BUILT AN AI CHIP AS BIG AS ANOTEBOOK. WHY?
California artificial intelligence startup Cerebras Systems yesterday introduced its Cerebras Wafer Scale Engine (WSE), the world’s largest-ever chip built for neural network processing. by Synced 2019-08-19Number of comments0
AI Technology
OF MICE AND MACHINES: CAN AI READ RODENTS’ MINDS? Researchers from Two Six Labs and Stanford Schnitzer Lab have developed a deep learning system designed to explore the workings of the mouse mind and predict behavior by processing brain-based electrical activity with a neural network. by Synced 2019-08-18Number of comments0
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A TRIO OF MACHINE LEARNING & LANGUAGE TECHNOLOGY BREAKTHROUGHS YOUSHOULDN’T MISS
Synced Global AI Weekly August 18th by Synced 2019-08-17Number of comments0
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WHY AUTOMATION ISN’T THE ANSWER TO SMART MANUFACTURING While management teams and consultants may spout trendy tech terms such as “process”, “automated”, or “smart”, and seem keen to hand over precisely-timed, measured tasks to machines, the truth is that AI tech is not a panacea — because manufacturing is hard. by Synced 2019-08-16Number of comments0
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MASTERS WILL SHARE INSIGHTS AT FIRST TORONTO KAGGLE DAYS MEETUP Synced would like to invite Toronto AI and data science students and researchers to join representatives of the world’s largest data science community for an evening of networking, discussions, andrefreshments!
by Synced 2019-08-16Number of comments0
AI Technology
DEEPMIND ‘BSUITE’ EVALUATES REINFORCEMENT LEARNING AGENTS Now AI researchers have created a similar evaluation system to assess the relative performance of reinforcement learning (RL) systems acrossdifferent tasks.
by Synced 2019-08-16Number of comments0
AI Technology
ISRAELI AI RESEARCH COMPANY LED BY STANFORD PROFESSOR AND MOBILEEYE CEO INTRODUCES MODEL TO SOLVE TEXT AMBIGUITY Israeli research company AI21 Labs today published the paper SenseBERT: Driving Some Sense into BERT, which proposes a new model that significantly improves lexical disambiguation abilities and has obtained state-of-the-art results on the complex Word in Context (WiC)language task.
by Synced 2019-08-151
AI Technology
FACEBOOK, GEORGIA TECH & OSU ‘VILBERT’ ACHIEVES SOTA ON VISION-AND-LANGUAGE TASKS A team of researchers from the Georgia Institute of Technology, Facebook AI Research and Oregon State University has proposed ViLBERT (Vision-and-Language BERT), a novel model for visual grounding that can learn joint representations of image content and natural language. by Synced 2019-08-141
AI Technology
DOES DEEP LEARNING STILL NEED BACKPROPAGATION? Now, researchers from the Victoria University of Wellington School of Engineering and Computer Science have introduced the HSIC (Hilbert-Schemidt independence criterion) bottleneck as an alternative to backpropagation for finding good representations. by Synced 2019-08-132
AI Technology
NEW SNIP SMARTPHONE APP CONVERTS MATH SCREENSHOTS INTO LATEX Not so long ago, mathematics students and researchers had to spend a tedious amount of time writing out equations in the technical and scientific documentation typesetting system LaTeX. by Synced 2019-08-123
AI Technology
PYTORCH 1.2 SUPPORTS TRANSFORMER AND TENSORBOARD; SUMMER HACKATHONANNOUNCED
PyTorch v1.2 brings the machine learning community further improvements, including official support for Transformer, TensorBoard,and more.
by Synced 2019-08-12Number of comments0
AI Technology
TENCENT-BACKED VIDEO APP KUAISHOU IS TURNING CHINESE COUNTRY FOLK INTOHOLLYWOOD DIRECTORS
Thanks to social video app Kuaishou and its plug-and-play tools, even rural Chinese with cheap smartphones are quickly and easily producing short videos featuring Hollywood-style special effects. by Synced 2019-08-111
Technology
DEEPMIND LOSES $572M; KDD 2019 BEST PAPERS; AI FOR WILDLIFECONSERVATION
Synced Global AI Weekly August 11st by Synced 2019-08-10Number of comments0
AI Industry
AI PROVIDES SOLUTIONS FOR THE JAPANESE FISHING INDUSTRY This article looks at three Japanese cases where AI is being applied either in large-scale aquaculture or to improve yields in traditionalcapture fishing.
by Synced 2019-08-091
AI Technology
GOOGLE AI & DEEPMIND TEMPORAL CYCLE-CONSISTENCY LEARNING UNDERSTANDSEVERY VIDEO FRAME
Frame-by-frame fine-grained labeling is however a time-consuming task. To tackle this problem, researchers from Google AI and DeepMind have introduced a novel self-supervised learning method called Temporal Cycle-Consistency Learning (TCC). by Synced 2019-08-09Number of comments0
AI Interview
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SEMANTIC BASED ADVERSARIAL EXAMPLES FOOL FACE RECOGNITION Researchers have proposed a new adversarial attack approach, SemanticAdv, which generates adversarial perturbations by manipulating not pixels but rather an image’s semantic attributes. by Synced 2019-08-091
AI Technology
AI ANALYZES CHESS COMMENTARY TO LEARN TO PLAY CHESS What if an AI could learn to play Chess based only on human game commentary? That interesting task has been tackled by SentiMATE, a new Chess algorithm proposed by University College London. by Synced 2019-08-08Number of comments0
AI Asia
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SOUTH KOREAN GAME DEVELOPER’S AI TURNS YOUR SELFIE INTO AN ANIMEFACE
Last month a team of South Korean researchers proposed a method that uses unsupervised image translation to transform a simple selfie into a classic Japanese-style anime face. by Synced 2019-08-072
AI China
Technology
CHINESE VIDEO STREAMING GIANT INTRODUCES ANIME FACIAL ID DATASET In a bid to combine anime and cartoon culture with machine learning, a research team from China’s leading video streaming service iQIYI has introduced a novel large unconstrained cartoon dataset they call“iCartoonFace.”
by Synced 2019-08-06Number of comments0
Conference Technology KDD 2019 ANNOUNCES BEST PAPER AWARDS KDD 2019 features both a Research track and an Applied Data Science (ADS) track, and today organizers announced their Best Paper Awards. by Synced 2019-08-06Number of comments0
AI China
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TENCENT AI TROUNCES PRO TEAM IN CHINA’S #1 MOBILE GAME China’s largest game-maker Tencent recently took a huge leap when its homegrown AI system Wukong AI (绝悟) trounced a human pro team in China’s most popular mobile game Honor of Kings (王者荣耀),aka Arena of Valor.
by Synced 2019-08-054
AI Technology
HARVARD RESEARCHERS BENCHMARK TPU, GPU & CPU FOR DEEP LEARNING Because training deep learning models requires intensive computation, AI researchers are always on the lookout for new and better hardware and software platforms for their increasingly sophisticated models. by Synced 2019-08-031
AI Industry
AI & NEW RETAIL: RECENT DEVELOPMENTS AND FUTURE TRENDS The traditional retail industry is facing challenges as the rapid development and continuous improvement of AI tools and techniques ushers in the era of New Retail. by Synced 2019-08-02Number of comments0
AI Interview
Technology
FACEBOOK AI MEMORY LAYER BOOSTS NETWORK CAPACITY BY A BILLIONPARAMETERS
Recently, Facebook AI Research (FAIR) researchers introduced a structured memory layer which can be easily integrated into a neural network to greatly expand network capacity and the number of parameters without significantly changing calculation cost. by Synced 2019-08-01Number of comments0
AI Technology
ROBOT MASTERS STRING PUPPETRY A group of researchers from ETH Zurich have introduced a robotic system that can perform animation of real-world string puppets, akamarionettes.
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