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ABOUT TWIML & THE TWIML AI PODCAST About TWIML and the TWIML AI Podcast Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. By sharing and amplifying the voices of a broad and diverse spectrum of machine learning and AI researchers, practitioners, and innovators, our programs help make ML and AI more accessible, and enhance the SHOWS - THE TWIML AI PODCAST (FORMERLY THIS WEEK IN Shows - The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Blog. Podcast. Series. eBooks. TWIMLFEST 2020: A COMMUNITY AI FESTIVAL TWIMLfest 2020 is all about community. We’re putting a call out for TWIMLfest Hosts who would like to create a session around a topic of interest to the community. THE DEFINITIVE GUIDE TO MACHINE LEARNING PLATFORMS The Definitive Guide to Machine Learning Platforms. Ready to scale and operationalize machine learning in your organization? Get our eBook! ABEBA BIRHANE ARCHIVES The issue of bias in AI was the subject of much discussion in the AI community last week. The publication of PULSE, a machine learning model by Duke University researchers, ADVERSARIAL EXAMPLES ARE NOT BUGS, THEY ARE FEATURES W/ A 30. Subscribe: iTunes / Google Play / Spotify / RSS. Aleksander, whose work is more on the theoretical side of machine learning research, walks us through his paper “Adversarial Examples Are Not Bugs, They Are Features,” which was published previously presented at last year’s NeurIPS conference. In our conversation, we explore the ideaof
ACCESSIBILITY AND COMPUTER VISION (PANEL DISCUSSION Accessibility and Computer Vision - #425. 30. 00:00:00. / 01:01:03. 30. Subscribe: iTunes / Google Play / Spotify / RSS. Digital imagery is pervasive today. More than a billion images per day are produced and uploaded to social media sites, with many more embedded within websites, apps, digital documents, and eBooks. ENTERPRISE READINESS, MLOPS AND LIFECYCLE Sam Charrington: Hey, what’s up everyone? This is Sam. A quick reminder that we’ve got a bunch of newly formed or forming study groups, including groups focused on Kaggle competitions and the fast.ai NLP and Deep Learning for Coders part one courses. It’s nottoo late to
BUILDING AI PRODUCTS WITH HILARY MASON My guest is Hilary Mason, founder of Fast Forward Labs and a leader in the data science community. We discuss practical advice for buildingAI products.
THE TWIML AI PODCAST (THIS WEEK IN MACHINE LEARNING AND AIBLOGPODCASTSERIESEBOOKSCOMMUNITYNEWSLETTER In this series of interviews, we’re joined by a few of the great sponsors of TWIMLcon: AI Platforms. From 1 to 100+ ML Models in Four Years. In our recent TWIMLcon conversation with Solmaz Shahalizadeh, VP of Commerce Intelligence at Shopify, she shared her journey from deploying Shopify’s first machine learning model four years ago tonow
ABOUT TWIML & THE TWIML AI PODCAST About TWIML and the TWIML AI Podcast Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. By sharing and amplifying the voices of a broad and diverse spectrum of machine learning and AI researchers, practitioners, and innovators, our programs help make ML and AI more accessible, and enhance the SHOWS - THE TWIML AI PODCAST (FORMERLY THIS WEEK IN Shows - The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Blog. Podcast. Series. eBooks. TWIMLFEST 2020: A COMMUNITY AI FESTIVAL TWIMLfest 2020 is all about community. We’re putting a call out for TWIMLfest Hosts who would like to create a session around a topic of interest to the community. THE DEFINITIVE GUIDE TO MACHINE LEARNING PLATFORMS The Definitive Guide to Machine Learning Platforms. Ready to scale and operationalize machine learning in your organization? Get our eBook! ABEBA BIRHANE ARCHIVES The issue of bias in AI was the subject of much discussion in the AI community last week. The publication of PULSE, a machine learning model by Duke University researchers, ADVERSARIAL EXAMPLES ARE NOT BUGS, THEY ARE FEATURES W/ A 30. Subscribe: iTunes / Google Play / Spotify / RSS. Aleksander, whose work is more on the theoretical side of machine learning research, walks us through his paper “Adversarial Examples Are Not Bugs, They Are Features,” which was published previously presented at last year’s NeurIPS conference. In our conversation, we explore the ideaof
ACCESSIBILITY AND COMPUTER VISION (PANEL DISCUSSION Accessibility and Computer Vision - #425. 30. 00:00:00. / 01:01:03. 30. Subscribe: iTunes / Google Play / Spotify / RSS. Digital imagery is pervasive today. More than a billion images per day are produced and uploaded to social media sites, with many more embedded within websites, apps, digital documents, and eBooks. ENTERPRISE READINESS, MLOPS AND LIFECYCLE Sam Charrington: Hey, what’s up everyone? This is Sam. A quick reminder that we’ve got a bunch of newly formed or forming study groups, including groups focused on Kaggle competitions and the fast.ai NLP and Deep Learning for Coders part one courses. It’s nottoo late to
BUILDING AI PRODUCTS WITH HILARY MASON My guest is Hilary Mason, founder of Fast Forward Labs and a leader in the data science community. We discuss practical advice for buildingAI products.
BLOG - THE TWIML AI PODCAST (FORMERLY THIS WEEK IN MACHINE From 1 to 100+ ML Models in Four Years. In our recent TWIMLcon conversation with Solmaz Shahalizadeh, VP of Commerce Intelligence at Shopify, she shared her journey from deploying Shopify’s first machine learning model four years ago to now having over 100 models in production across all aspects of the business. SHOWS - THE TWIML AI PODCAST (FORMERLY THIS WEEK IN Shows - The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Blog. Podcast. Series. eBooks. HAPTIC INTELLIGENCE WITH KATHERINE J. KUCHENBECKER Subscribe: iTunes / Google Play / Spotify / RSS In our conversation, we explore Katherine’s research interests, which lie at the intersection of haptics (physical interaction with the world) and machine learning, introducing us to the concept of “hapticintelligence.”
CHRIS FREGLY ARCHIVES The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) DATA SCIENCE ON AWS WITH CHRIS FREGLY AND ANTJE BARTH Subscribe: iTunes / Google Play / Spotify / RSS In our conversation with Chris and Antje, we explore their roles as community builders prior to, and since, joining AWS, as well as their recently released book Data Science on AWS. KUBERNETES FOR MACHINE LEARNING, DEEP LEARNING & AI EBOOK Kubernetes for MLOps: Scaling Enterprise Machine Learning, Deep Learning, and AI. Want to dive deeper into cloud-native infrastructurefor ML, DL & AI?
THE DEFINITIVE GUIDE TO MACHINE LEARNING PLATFORMS The Definitive Guide to Machine Learning Platforms. Ready to scale and operationalize machine learning in your organization? Get our eBook! USING AI TO MAP THE HUMAN IMMUNE SYSTEM W/ JABRAN ZAHID Get the transcript In our conversation with Jabran, we explore their recent endeavor into the complete mapping of which T-cells bind to which antigens through the Antigen Map Project. BUILDING THE PRODUCT KNOWLEDGE GRAPH AT AMAZON WITH LUNA 30. Subscribe: iTunes / Google Play / Spotify / RSS. In our conversation with Luna, we explore Amazon’s expansive product knowledge graph, and the various roles that machine learning plays throughout it. We also talk through the differences and synergies between the media and retail product knowledge graph use cases and howML comes into play
THE FUTURE OF AUTONOMOUS SYSTEMS WITH GURDEEP PALL Subscribe: iTunes / Google Play / Spotify / RSS Get the transcript. Gurdeep, who we had the pleasure of speaking with on his 31st anniversary at the company, has had a hand in creating quite a few influential projects, including Skype for business (and Teams) and being apart of the first team that shipped wifi as a part of a general-purpose operating system. THE TWIML AI PODCAST (THIS WEEK IN MACHINE LEARNING AND AIBLOGPODCASTSERIESEBOOKSCOMMUNITYNEWSLETTER Keep up with the most interesting & important stories from the world of machine learning, deep learning & artificial intelligence with theTWIML AI Podcast.
ABOUT TWIML & THE TWIML AI PODCAST About TWIML and the TWIML AI Podcast Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. By sharing and amplifying the voices of a broad and diverse spectrum of machine learning and AI researchers, practitioners, and innovators, our programs help make ML and AI more accessible, and enhance the SHOWS - THE TWIML AI PODCAST (FORMERLY THIS WEEK IN The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) TWIMLFEST 2020: A COMMUNITY AI FESTIVAL TWIMLfest 2020 is all about community. We’re putting a call out for TWIMLfest Hosts who would like to create a session around a topic of interest to the community. THE DEFINITIVE GUIDE TO MACHINE LEARNING PLATFORMS The Definitive Guide to Machine Learning Platforms. Ready to scale and operationalize machine learning in your organization? Get our eBook!MARK RIEDL ARCHIVES
Today we’re joined by Mark Riedl, a Professor in the School of Interactive Computing at Georgia Tech. Read the rest. read more ACCESSIBILITY AND COMPUTER VISION (PANEL DISCUSSION REPLY. Computer vision for accessibility is a dead end that is inherently alienated from most blind people, insists on pushing the “vision for the blind” meme that won’t die, doesn’t listen to their actual every day needs, does not address the rampant exploitation across most markets that they face (such as the exorbitant prices for single use accessible devices) that receiveslarge
ABEBA BIRHANE ARCHIVES The issue of bias in AI was the subject of much discussion in the AI community last week. The publication of PULSE, a machine learning model by Duke University researchers, ADVERSARIAL EXAMPLES ARE NOT BUGS, THEY ARE FEATURES W/ A Subscribe: iTunes / Google Play / Spotify / RSS Aleksander, whose work is more on the theoretical side of machine learning research, walks us through his paper “Adversarial Examples Are Not Bugs, They Are Features,” which was published previously presented at last year’sNeurIPS conference.
ENTERPRISE READINESS, MLOPS AND LIFECYCLE MANAGEMENT WITH Sam Charrington: Hey, what’s up everyone? This is Sam. A quick reminder that we’ve got a bunch of newly formed or forming study groups, including groups focused on Kaggle competitions and the fast.ai NLP and Deep Learning for Coders part one courses. It’s nottoo late to
THE TWIML AI PODCAST (THIS WEEK IN MACHINE LEARNING AND AIBLOGPODCASTSERIESEBOOKSCOMMUNITYNEWSLETTER Keep up with the most interesting & important stories from the world of machine learning, deep learning & artificial intelligence with theTWIML AI Podcast.
ABOUT TWIML & THE TWIML AI PODCAST About TWIML and the TWIML AI Podcast Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. By sharing and amplifying the voices of a broad and diverse spectrum of machine learning and AI researchers, practitioners, and innovators, our programs help make ML and AI more accessible, and enhance the SHOWS - THE TWIML AI PODCAST (FORMERLY THIS WEEK IN The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) TWIMLFEST 2020: A COMMUNITY AI FESTIVAL TWIMLfest 2020 is all about community. We’re putting a call out for TWIMLfest Hosts who would like to create a session around a topic of interest to the community. THE DEFINITIVE GUIDE TO MACHINE LEARNING PLATFORMS The Definitive Guide to Machine Learning Platforms. Ready to scale and operationalize machine learning in your organization? Get our eBook!MARK RIEDL ARCHIVES
Today we’re joined by Mark Riedl, a Professor in the School of Interactive Computing at Georgia Tech. Read the rest. read more ACCESSIBILITY AND COMPUTER VISION (PANEL DISCUSSION REPLY. Computer vision for accessibility is a dead end that is inherently alienated from most blind people, insists on pushing the “vision for the blind” meme that won’t die, doesn’t listen to their actual every day needs, does not address the rampant exploitation across most markets that they face (such as the exorbitant prices for single use accessible devices) that receiveslarge
ABEBA BIRHANE ARCHIVES The issue of bias in AI was the subject of much discussion in the AI community last week. The publication of PULSE, a machine learning model by Duke University researchers, ADVERSARIAL EXAMPLES ARE NOT BUGS, THEY ARE FEATURES W/ A Subscribe: iTunes / Google Play / Spotify / RSS Aleksander, whose work is more on the theoretical side of machine learning research, walks us through his paper “Adversarial Examples Are Not Bugs, They Are Features,” which was published previously presented at last year’sNeurIPS conference.
ENTERPRISE READINESS, MLOPS AND LIFECYCLE MANAGEMENT WITH Sam Charrington: Hey, what’s up everyone? This is Sam. A quick reminder that we’ve got a bunch of newly formed or forming study groups, including groups focused on Kaggle competitions and the fast.ai NLP and Deep Learning for Coders part one courses. It’s nottoo late to
SHOWS - THE TWIML AI PODCAST (FORMERLY THIS WEEK IN The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) BLOG - THE TWIML AI PODCAST (FORMERLY THIS WEEK IN MACHINE The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) HAPTIC INTELLIGENCE WITH KATHERINE J. KUCHENBECKER Subscribe: iTunes / Google Play / Spotify / RSS In our conversation, we explore Katherine’s research interests, which lie at the intersection of haptics (physical interaction with the world) and machine learning, introducing us to the concept of “hapticintelligence.”
DATA SCIENCE ON AWS WITH CHRIS FREGLY AND ANTJE BARTH Subscribe: iTunes / Google Play / Spotify / RSS In our conversation with Chris and Antje, we explore their roles as community builders prior to, and since, joining AWS, as well as their recently released book Data Science on AWS. ARCHITECTURAL PATTERNS IN ML Nishan Subedi, VP of Algorithms at Overstock.com, recently shared his approach to machine learning systems and organizational design. TWIML PRESENTS: ICLR 2021 In this series of interviews, we explore some of the papers from the recent ICLR 2021 conference. CHRIS FREGLY ARCHIVES The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) THE DEFINITIVE GUIDE TO MACHINE LEARNING PLATFORMS The Definitive Guide to Machine Learning Platforms. Ready to scale and operationalize machine learning in your organization? Get our eBook! THE FUTURE OF AUTONOMOUS SYSTEMS WITH GURDEEP PALL Subscribe: iTunes / Google Play / Spotify / RSS Get the transcript. Gurdeep, who we had the pleasure of speaking with on his 31st anniversary at the company, has had a hand in creating quite a few influential projects, including Skype for business (and Teams) and being apart of the first team that shipped wifi as a part of a general-purpose operating system. TRENDS IN COMPUTER VISION WITH PAVAN TURAGA AI Rewind continues today as we’re joined by Pavan Turaga, Associate Professor, in both the Departments of Arts, Media, and Engineering & Electrical Engineering, and the Interim Director of the School of Arts, Media, and Engineering at Arizona State University. THE TWIML AI PODCAST (THIS WEEK IN MACHINE LEARNING AND AIBLOGPODCASTSERIESEBOOKSCOMMUNITYNEWSLETTER In this series of interviews, we’re joined by a few of the great sponsors of TWIMLcon: AI Platforms. From 1 to 100+ ML Models in Four Years. In our recent TWIMLcon conversation with Solmaz Shahalizadeh, VP of Commerce Intelligence at Shopify, she shared her journey from deploying Shopify’s first machine learning model four years ago tonow
ABOUT TWIML & THE TWIML AI PODCAST About TWIML and the TWIML AI Podcast Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. By sharing and amplifying the voices of a broad and diverse spectrum of machine learning and AI researchers, practitioners, and innovators, our programs help make ML and AI more accessible, and enhance the TWIML EBOOKS ON MACHINE LEARNING, DEEP LEARNING & AI The Definitive Guide to Machine Learning Platforms. In the second book, we explore these same needs from the top down, starting from the platforms that leading data first companies have built, such as Facebook, Uber, and Google, the process disciplines that they embody, and what these say about the shape of emerging Agile Machine Learning Platforms for the enterprise. TWIMLFEST 2020: A COMMUNITY AI FESTIVAL TWIMLfest 2020 is all about community. We’re putting a call out for TWIMLfest Hosts who would like to create a session around a topic of interest to the community. KUBERNETES FOR MACHINE LEARNING, DEEP LEARNING & AI EBOOK Kubernetes for MLOps: Scaling Enterprise Machine Learning, Deep Learning, and AI. Want to dive deeper into cloud-native infrastructurefor ML, DL & AI?
THE DEFINITIVE GUIDE TO MACHINE LEARNING PLATFORMS The Definitive Guide to Machine Learning Platforms. Ready to scale and operationalize machine learning in your organization? Get our eBook! ARCHITECTURAL PATTERNS IN ML Nishan Subedi, VP of Algorithms at Overstock.com, recently shared his approach to machine learning systems and organizational design. PROBABILISTIC NUMERIC CNNS WITH ROBERTO BONDESAN Qualcomm AI Research is dedicated to advancing AI to make its core capabilities — perception, reasoning, and action — ubiquitous across devices. Their work makes it possible for billions of users around the world to have AI-enhanced experiences on ENTERPRISE READINESS, MLOPS AND LIFECYCLE Sam Charrington: Hey, what’s up everyone? This is Sam. A quick reminder that we’ve got a bunch of newly formed or forming study groups, including groups focused on Kaggle competitions and the fast.ai NLP and Deep Learning for Coders part one courses. It’s nottoo late to
ABEBA BIRHANE ARCHIVES The issue of bias in AI was the subject of much discussion in the AI community last week. The publication of PULSE, a machine learning model by Duke University researchers, THE TWIML AI PODCAST (THIS WEEK IN MACHINE LEARNING AND AIBLOGPODCASTSERIESEBOOKSCOMMUNITYNEWSLETTER In this series of interviews, we’re joined by a few of the great sponsors of TWIMLcon: AI Platforms. From 1 to 100+ ML Models in Four Years. In our recent TWIMLcon conversation with Solmaz Shahalizadeh, VP of Commerce Intelligence at Shopify, she shared her journey from deploying Shopify’s first machine learning model four years ago tonow
ABOUT TWIML & THE TWIML AI PODCAST About TWIML and the TWIML AI Podcast Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. By sharing and amplifying the voices of a broad and diverse spectrum of machine learning and AI researchers, practitioners, and innovators, our programs help make ML and AI more accessible, and enhance the TWIML EBOOKS ON MACHINE LEARNING, DEEP LEARNING & AI The Definitive Guide to Machine Learning Platforms. In the second book, we explore these same needs from the top down, starting from the platforms that leading data first companies have built, such as Facebook, Uber, and Google, the process disciplines that they embody, and what these say about the shape of emerging Agile Machine Learning Platforms for the enterprise. TWIMLFEST 2020: A COMMUNITY AI FESTIVAL TWIMLfest 2020 is all about community. We’re putting a call out for TWIMLfest Hosts who would like to create a session around a topic of interest to the community. KUBERNETES FOR MACHINE LEARNING, DEEP LEARNING & AI EBOOK Kubernetes for MLOps: Scaling Enterprise Machine Learning, Deep Learning, and AI. Want to dive deeper into cloud-native infrastructurefor ML, DL & AI?
THE DEFINITIVE GUIDE TO MACHINE LEARNING PLATFORMS The Definitive Guide to Machine Learning Platforms. Ready to scale and operationalize machine learning in your organization? Get our eBook! ARCHITECTURAL PATTERNS IN ML Nishan Subedi, VP of Algorithms at Overstock.com, recently shared his approach to machine learning systems and organizational design. PROBABILISTIC NUMERIC CNNS WITH ROBERTO BONDESAN Qualcomm AI Research is dedicated to advancing AI to make its core capabilities — perception, reasoning, and action — ubiquitous across devices. Their work makes it possible for billions of users around the world to have AI-enhanced experiences on ENTERPRISE READINESS, MLOPS AND LIFECYCLE Sam Charrington: Hey, what’s up everyone? This is Sam. A quick reminder that we’ve got a bunch of newly formed or forming study groups, including groups focused on Kaggle competitions and the fast.ai NLP and Deep Learning for Coders part one courses. It’s nottoo late to
ABEBA BIRHANE ARCHIVES The issue of bias in AI was the subject of much discussion in the AI community last week. The publication of PULSE, a machine learning model by Duke University researchers, TWIML EBOOKS ON MACHINE LEARNING, DEEP LEARNING & AI The Definitive Guide to Machine Learning Platforms. In the second book, we explore these same needs from the top down, starting from the platforms that leading data first companies have built, such as Facebook, Uber, and Google, the process disciplines that they embody, and what these say about the shape of emerging Agile Machine Learning Platforms for the enterprise. BLOG - THE TWIML AI PODCAST (FORMERLY THIS WEEK IN MACHINE From 1 to 100+ ML Models in Four Years. In our recent TWIMLcon conversation with Solmaz Shahalizadeh, VP of Commerce Intelligence at Shopify, she shared her journey from deploying Shopify’s first machine learning model four years ago to now having over 100 models in production across all aspects of the business. SHOWS - THE TWIML AI PODCAST (FORMERLY THIS WEEK IN Shows - The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Blog. Podcast. Series. eBooks. TWIML PRESENTS: AWS MACHINE LEARNING SUMMIT In this series of interviews, we explore some of the papers from the recent AWS Machine Learning Summit. JOIN THE TWIML COMMUNITY! Welcome to the TWIML Community. The TWIML Community is a global network of machine learning, deep learning and AI practitioners andenthusiasts.
TWIMLCON: AI PLATFORMS 2021 SPONSOR SERIES In this episode, we’re joined by Diego Oppenheimer, Founder and CEO of Algorithmia. In our conversation, we discuss Algorithmia’s involvement with TWIMLcon, as well as an exploration of the results of their recently conducted survey on the state of the AI market. ML Lifecycle Management at Algorithmia with Diego Oppenheimer - #470. DATA SCIENCE ON AWS WITH CHRIS FREGLY AND ANTJE BARTH Subscribe: iTunes / Google Play / Spotify / RSS In our conversation with Chris and Antje, we explore their roles as community builders prior to, and since, joining AWS, as well as their recently released book Data Science on AWS. KUBERNETES FOR MACHINE LEARNING, DEEP LEARNING & AI EBOOK Kubernetes for MLOps: Scaling Enterprise Machine Learning, Deep Learning, and AI. Want to dive deeper into cloud-native infrastructurefor ML, DL & AI?
THE DEFINITIVE GUIDE TO MACHINE LEARNING PLATFORMS The Definitive Guide to Machine Learning Platforms. Ready to scale and operationalize machine learning in your organization? Get our eBook!NEWSLETTER SIGN-UP
Mailing List Sign-Up Please subscribe to our mailing list for weekly updates, giveaways and other offers from the TWIML team. This form collects your name and email address so that we can correspond with you. For more information about how we use and protect your THE TWIML AI PODCAST (THIS WEEK IN MACHINE LEARNING AND AIBLOGPODCASTSERIESEBOOKSCOMMUNITYNEWSLETTER In this series of interviews, we’re joined by a few of the great sponsors of TWIMLcon: AI Platforms. From 1 to 100+ ML Models in Four Years. In our recent TWIMLcon conversation with Solmaz Shahalizadeh, VP of Commerce Intelligence at Shopify, she shared her journey from deploying Shopify’s first machine learning model four years ago tonow
ABOUT TWIML & THE TWIML AI PODCAST About TWIML and the TWIML AI Podcast Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. By sharing and amplifying the voices of a broad and diverse spectrum of machine learning and AI researchers, practitioners, and innovators, our programs help make ML and AI more accessible, and enhance the TWIML EBOOKS ON MACHINE LEARNING, DEEP LEARNING & AI The Definitive Guide to Machine Learning Platforms. In the second book, we explore these same needs from the top down, starting from the platforms that leading data first companies have built, such as Facebook, Uber, and Google, the process disciplines that they embody, and what these say about the shape of emerging Agile Machine Learning Platforms for the enterprise. TWIMLFEST 2020: A COMMUNITY AI FESTIVAL TWIMLfest 2020 is all about community. We’re putting a call out for TWIMLfest Hosts who would like to create a session around a topic of interest to the community. KUBERNETES FOR MACHINE LEARNING, DEEP LEARNING & AI EBOOK Kubernetes for MLOps: Scaling Enterprise Machine Learning, Deep Learning, and AI. Want to dive deeper into cloud-native infrastructurefor ML, DL & AI?
THE DEFINITIVE GUIDE TO MACHINE LEARNING PLATFORMS The Definitive Guide to Machine Learning Platforms. Ready to scale and operationalize machine learning in your organization? Get our eBook! ARCHITECTURAL PATTERNS IN ML Nishan Subedi, VP of Algorithms at Overstock.com, recently shared his approach to machine learning systems and organizational design. PROBABILISTIC NUMERIC CNNS WITH ROBERTO BONDESAN Qualcomm AI Research is dedicated to advancing AI to make its core capabilities — perception, reasoning, and action — ubiquitous across devices. Their work makes it possible for billions of users around the world to have AI-enhanced experiences on ENTERPRISE READINESS, MLOPS AND LIFECYCLE Sam Charrington: Hey, what’s up everyone? This is Sam. A quick reminder that we’ve got a bunch of newly formed or forming study groups, including groups focused on Kaggle competitions and the fast.ai NLP and Deep Learning for Coders part one courses. It’s nottoo late to
ABEBA BIRHANE ARCHIVES The issue of bias in AI was the subject of much discussion in the AI community last week. The publication of PULSE, a machine learning model by Duke University researchers, THE TWIML AI PODCAST (THIS WEEK IN MACHINE LEARNING AND AIBLOGPODCASTSERIESEBOOKSCOMMUNITYNEWSLETTER In this series of interviews, we’re joined by a few of the great sponsors of TWIMLcon: AI Platforms. From 1 to 100+ ML Models in Four Years. In our recent TWIMLcon conversation with Solmaz Shahalizadeh, VP of Commerce Intelligence at Shopify, she shared her journey from deploying Shopify’s first machine learning model four years ago tonow
ABOUT TWIML & THE TWIML AI PODCAST About TWIML and the TWIML AI Podcast Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. By sharing and amplifying the voices of a broad and diverse spectrum of machine learning and AI researchers, practitioners, and innovators, our programs help make ML and AI more accessible, and enhance the TWIML EBOOKS ON MACHINE LEARNING, DEEP LEARNING & AI The Definitive Guide to Machine Learning Platforms. In the second book, we explore these same needs from the top down, starting from the platforms that leading data first companies have built, such as Facebook, Uber, and Google, the process disciplines that they embody, and what these say about the shape of emerging Agile Machine Learning Platforms for the enterprise. TWIMLFEST 2020: A COMMUNITY AI FESTIVAL TWIMLfest 2020 is all about community. We’re putting a call out for TWIMLfest Hosts who would like to create a session around a topic of interest to the community. KUBERNETES FOR MACHINE LEARNING, DEEP LEARNING & AI EBOOK Kubernetes for MLOps: Scaling Enterprise Machine Learning, Deep Learning, and AI. Want to dive deeper into cloud-native infrastructurefor ML, DL & AI?
THE DEFINITIVE GUIDE TO MACHINE LEARNING PLATFORMS The Definitive Guide to Machine Learning Platforms. Ready to scale and operationalize machine learning in your organization? Get our eBook! ARCHITECTURAL PATTERNS IN ML Nishan Subedi, VP of Algorithms at Overstock.com, recently shared his approach to machine learning systems and organizational design. PROBABILISTIC NUMERIC CNNS WITH ROBERTO BONDESAN Qualcomm AI Research is dedicated to advancing AI to make its core capabilities — perception, reasoning, and action — ubiquitous across devices. Their work makes it possible for billions of users around the world to have AI-enhanced experiences on ENTERPRISE READINESS, MLOPS AND LIFECYCLE Sam Charrington: Hey, what’s up everyone? This is Sam. A quick reminder that we’ve got a bunch of newly formed or forming study groups, including groups focused on Kaggle competitions and the fast.ai NLP and Deep Learning for Coders part one courses. It’s nottoo late to
ABEBA BIRHANE ARCHIVES The issue of bias in AI was the subject of much discussion in the AI community last week. The publication of PULSE, a machine learning model by Duke University researchers, TWIML EBOOKS ON MACHINE LEARNING, DEEP LEARNING & AI The Definitive Guide to Machine Learning Platforms. In the second book, we explore these same needs from the top down, starting from the platforms that leading data first companies have built, such as Facebook, Uber, and Google, the process disciplines that they embody, and what these say about the shape of emerging Agile Machine Learning Platforms for the enterprise. BLOG - THE TWIML AI PODCAST (FORMERLY THIS WEEK IN MACHINE From 1 to 100+ ML Models in Four Years. In our recent TWIMLcon conversation with Solmaz Shahalizadeh, VP of Commerce Intelligence at Shopify, she shared her journey from deploying Shopify’s first machine learning model four years ago to now having over 100 models in production across all aspects of the business. SHOWS - THE TWIML AI PODCAST (FORMERLY THIS WEEK IN Shows - The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Blog. Podcast. Series. eBooks. TWIML PRESENTS: AWS MACHINE LEARNING SUMMIT In this series of interviews, we explore some of the papers from the recent AWS Machine Learning Summit. JOIN THE TWIML COMMUNITY! Welcome to the TWIML Community. The TWIML Community is a global network of machine learning, deep learning and AI practitioners andenthusiasts.
TWIMLCON: AI PLATFORMS 2021 SPONSOR SERIES In this episode, we’re joined by Diego Oppenheimer, Founder and CEO of Algorithmia. In our conversation, we discuss Algorithmia’s involvement with TWIMLcon, as well as an exploration of the results of their recently conducted survey on the state of the AI market. ML Lifecycle Management at Algorithmia with Diego Oppenheimer - #470. DATA SCIENCE ON AWS WITH CHRIS FREGLY AND ANTJE BARTH Subscribe: iTunes / Google Play / Spotify / RSS In our conversation with Chris and Antje, we explore their roles as community builders prior to, and since, joining AWS, as well as their recently released book Data Science on AWS. KUBERNETES FOR MACHINE LEARNING, DEEP LEARNING & AI EBOOK Kubernetes for MLOps: Scaling Enterprise Machine Learning, Deep Learning, and AI. Want to dive deeper into cloud-native infrastructurefor ML, DL & AI?
THE DEFINITIVE GUIDE TO MACHINE LEARNING PLATFORMS The Definitive Guide to Machine Learning Platforms. Ready to scale and operationalize machine learning in your organization? Get our eBook!NEWSLETTER SIGN-UP
Mailing List Sign-Up Please subscribe to our mailing list for weekly updates, giveaways and other offers from the TWIML team. This form collects your name and email address so that we can correspond with you. For more information about how we use and protect your THE TWIML AI PODCAST (THIS WEEK IN MACHINE LEARNING AND AIBLOGPODCASTSERIESEBOOKSCOMMUNITYNEWSLETTER In this series of interviews, we’re joined by a few of the great sponsors of TWIMLcon: AI Platforms. From 1 to 100+ ML Models in Four Years. In our recent TWIMLcon conversation with Solmaz Shahalizadeh, VP of Commerce Intelligence at Shopify, she shared her journey from deploying Shopify’s first machine learning model four years ago tonow
ABOUT TWIML & THE TWIML AI PODCAST About TWIML and the TWIML AI Podcast Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. By sharing and amplifying the voices of a broad and diverse spectrum of machine learning and AI researchers, practitioners, and innovators, our programs help make ML and AI more accessible, and enhance the SHOWS - THE TWIML AI PODCAST (FORMERLY THIS WEEK IN Shows - The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Blog. Podcast. Series. eBooks. TWIMLFEST 2020: A COMMUNITY AI FESTIVAL TWIMLfest 2020 is all about community. We’re putting a call out for TWIMLfest Hosts who would like to create a session around a topic of interest to the community. THE DEFINITIVE GUIDE TO MACHINE LEARNING PLATFORMS The Definitive Guide to Machine Learning Platforms. Ready to scale and operationalize machine learning in your organization? Get our eBook! PROBABILISTIC NUMERIC CNNS WITH ROBERTO BONDESAN Today we kick off our ICLR 2021 coverage joined by Roberto Bondesan, an AI Researcher at Qualcomm. ADVERSARIAL EXAMPLES ARE NOT BUGS, THEY ARE FEATURES W/ A 30. Subscribe: iTunes / Google Play / Spotify / RSS. Aleksander, whose work is more on the theoretical side of machine learning research, walks us through his paper “Adversarial Examples Are Not Bugs, They Are Features,” which was published previously presented at last year’s NeurIPS conference. In our conversation, we explore the ideaof
ACCESSIBILITY AND COMPUTER VISION (PANEL DISCUSSION Accessibility and Computer Vision - #425. 30. 00:00:00. / 01:01:03. 30. Subscribe: iTunes / Google Play / Spotify / RSS. Digital imagery is pervasive today. More than a billion images per day are produced and uploaded to social media sites, with many more embedded within websites, apps, digital documents, and eBooks. ABEBA BIRHANE ARCHIVES The issue of bias in AI was the subject of much discussion in the AI community last week. The publication of PULSE, a machine learning model by Duke University researchers, ENTERPRISE READINESS, MLOPS AND LIFECYCLE Sam Charrington: Hey, what’s up everyone? This is Sam. A quick reminder that we’ve got a bunch of newly formed or forming study groups, including groups focused on Kaggle competitions and the fast.ai NLP and Deep Learning for Coders part one courses. It’s nottoo late to
THE TWIML AI PODCAST (THIS WEEK IN MACHINE LEARNING AND AIBLOGPODCASTSERIESEBOOKSCOMMUNITYNEWSLETTER In this series of interviews, we’re joined by a few of the great sponsors of TWIMLcon: AI Platforms. From 1 to 100+ ML Models in Four Years. In our recent TWIMLcon conversation with Solmaz Shahalizadeh, VP of Commerce Intelligence at Shopify, she shared her journey from deploying Shopify’s first machine learning model four years ago tonow
ABOUT TWIML & THE TWIML AI PODCAST About TWIML and the TWIML AI Podcast Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. By sharing and amplifying the voices of a broad and diverse spectrum of machine learning and AI researchers, practitioners, and innovators, our programs help make ML and AI more accessible, and enhance the SHOWS - THE TWIML AI PODCAST (FORMERLY THIS WEEK IN Shows - The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Blog. Podcast. Series. eBooks. TWIMLFEST 2020: A COMMUNITY AI FESTIVAL TWIMLfest 2020 is all about community. We’re putting a call out for TWIMLfest Hosts who would like to create a session around a topic of interest to the community. THE DEFINITIVE GUIDE TO MACHINE LEARNING PLATFORMS The Definitive Guide to Machine Learning Platforms. Ready to scale and operationalize machine learning in your organization? Get our eBook! PROBABILISTIC NUMERIC CNNS WITH ROBERTO BONDESAN Today we kick off our ICLR 2021 coverage joined by Roberto Bondesan, an AI Researcher at Qualcomm. ADVERSARIAL EXAMPLES ARE NOT BUGS, THEY ARE FEATURES W/ A 30. Subscribe: iTunes / Google Play / Spotify / RSS. Aleksander, whose work is more on the theoretical side of machine learning research, walks us through his paper “Adversarial Examples Are Not Bugs, They Are Features,” which was published previously presented at last year’s NeurIPS conference. In our conversation, we explore the ideaof
ACCESSIBILITY AND COMPUTER VISION (PANEL DISCUSSION Accessibility and Computer Vision - #425. 30. 00:00:00. / 01:01:03. 30. Subscribe: iTunes / Google Play / Spotify / RSS. Digital imagery is pervasive today. More than a billion images per day are produced and uploaded to social media sites, with many more embedded within websites, apps, digital documents, and eBooks. ABEBA BIRHANE ARCHIVES The issue of bias in AI was the subject of much discussion in the AI community last week. The publication of PULSE, a machine learning model by Duke University researchers, ENTERPRISE READINESS, MLOPS AND LIFECYCLE Sam Charrington: Hey, what’s up everyone? This is Sam. A quick reminder that we’ve got a bunch of newly formed or forming study groups, including groups focused on Kaggle competitions and the fast.ai NLP and Deep Learning for Coders part one courses. It’s nottoo late to
TWIML PRESENTS: AWS MACHINE LEARNING SUMMIT In this series of interviews, we explore some of the papers from the recent AWS Machine Learning Summit. SHOWS - THE TWIML AI PODCAST (FORMERLY THIS WEEK IN Shows - The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Blog. Podcast. Series. eBooks. TWIML PRESENTS: ICLR 2021 TWIML Presents: ICLR 2021. #482 Probabilistic Numeric CNNs Roberto Bondesan, Qualcomm. #483 What the Human Brain Can Tell Us About NLP Models Allyson Ettinger, University of Chicago. #484 Learning Long-Time Dependencies with RNNs Konstantin Rusch, ETH Zurich. TWIMLCON: AI PLATFORMS 2021 SPONSOR SERIES In this episode, we’re joined by Diego Oppenheimer, Founder and CEO of Algorithmia. In our conversation, we discuss Algorithmia’s involvement with TWIMLcon, as well as an exploration of the results of their recently conducted survey on the state of the AI market. ML Lifecycle Management at Algorithmia with Diego Oppenheimer - #470. DATA SCIENCE ON AWS WITH CHRIS FREGLY AND ANTJE BARTH Subscribe: iTunes / Google Play / Spotify / RSS In our conversation with Chris and Antje, we explore their roles as community builders prior to, and since, joining AWS, as well as their recently released book Data Science on AWS. KUBERNETES FOR MACHINE LEARNING, DEEP LEARNING & AI EBOOK Kubernetes for MLOps: Scaling Enterprise Machine Learning, Deep Learning, and AI. Want to dive deeper into cloud-native infrastructurefor ML, DL & AI?
THE DEFINITIVE GUIDE TO MACHINE LEARNING PLATFORMS The Definitive Guide to Machine Learning Platforms. Ready to scale and operationalize machine learning in your organization? Get our eBook! ARCHITECTURAL PATTERNS IN ML Nishan Subedi, VP of Algorithms at Overstock.com, recently shared his approach to machine learning systems and organizational design. BUILDING THE PRODUCT KNOWLEDGE GRAPH AT AMAZON WITH LUNA 30. Subscribe: iTunes / Google Play / Spotify / RSS. In our conversation with Luna, we explore Amazon’s expansive product knowledge graph, and the various roles that machine learning plays throughout it. We also talk through the differences and synergies between the media and retail product knowledge graph use cases and howML comes into play
CAN LANGUAGE MODELS BE TOO BIG? W/ EMILY BENDER AND Live. •. Emily and Meg, as well as Timnit Gebru and Angelina McMillan-Major, are co-authors on the paper On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜. As most of you undoubtedly know by now, there has been much controversy surrounding, and fallout from, this paper. THE TWIML AI PODCAST (THIS WEEK IN MACHINE LEARNING AND AIBLOGPODCASTSERIESEBOOKSCOMMUNITYNEWSLETTER In this series of interviews, we’re joined by a few of the great sponsors of TWIMLcon: AI Platforms. From 1 to 100+ ML Models in Four Years. In our recent TWIMLcon conversation with Solmaz Shahalizadeh, VP of Commerce Intelligence at Shopify, she shared her journey from deploying Shopify’s first machine learning model four years ago tonow
ABOUT TWIML & THE TWIML AI PODCAST About TWIML and the TWIML AI Podcast Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. By sharing and amplifying the voices of a broad and diverse spectrum of machine learning and AI researchers, practitioners, and innovators, our programs help make ML and AI more accessible, and enhance the TWIML EBOOKS ON MACHINE LEARNING, DEEP LEARNING & AI The Definitive Guide to Machine Learning Platforms. In the second book, we explore these same needs from the top down, starting from the platforms that leading data first companies have built, such as Facebook, Uber, and Google, the process disciplines that they embody, and what these say about the shape of emerging Agile Machine Learning Platforms for the enterprise. TWIMLFEST 2020: A COMMUNITY AI FESTIVAL TWIMLfest 2020 is all about community. We’re putting a call out for TWIMLfest Hosts who would like to create a session around a topic of interest to the community. THE DEFINITIVE GUIDE TO MACHINE LEARNING PLATFORMS The Definitive Guide to Machine Learning Platforms. Ready to scale and operationalize machine learning in your organization? Get our eBook! KUBERNETES FOR MACHINE LEARNING, DEEP LEARNING & AI EBOOK Kubernetes for MLOps: Scaling Enterprise Machine Learning, Deep Learning, and AI. Want to dive deeper into cloud-native infrastructurefor ML, DL & AI?
ARCHITECTURAL PATTERNS IN ML Nishan Subedi, VP of Algorithms at Overstock.com, recently shared his approach to machine learning systems and organizational design. ADVERSARIAL EXAMPLES ARE NOT BUGS, THEY ARE FEATURES W/ A 30. Subscribe: iTunes / Google Play / Spotify / RSS. Aleksander, whose work is more on the theoretical side of machine learning research, walks us through his paper “Adversarial Examples Are Not Bugs, They Are Features,” which was published previously presented at last year’s NeurIPS conference. In our conversation, we explore the ideaof
ABEBA BIRHANE ARCHIVES The issue of bias in AI was the subject of much discussion in the AI community last week. The publication of PULSE, a machine learning model by Duke University researchers, ENTERPRISE READINESS, MLOPS AND LIFECYCLE Sam Charrington: Hey, what’s up everyone? This is Sam. A quick reminder that we’ve got a bunch of newly formed or forming study groups, including groups focused on Kaggle competitions and the fast.ai NLP and Deep Learning for Coders part one courses. It’s nottoo late to
THE TWIML AI PODCAST (THIS WEEK IN MACHINE LEARNING AND AIBLOGPODCASTSERIESEBOOKSCOMMUNITYNEWSLETTER In this series of interviews, we’re joined by a few of the great sponsors of TWIMLcon: AI Platforms. From 1 to 100+ ML Models in Four Years. In our recent TWIMLcon conversation with Solmaz Shahalizadeh, VP of Commerce Intelligence at Shopify, she shared her journey from deploying Shopify’s first machine learning model four years ago tonow
ABOUT TWIML & THE TWIML AI PODCAST About TWIML and the TWIML AI Podcast Machine learning and artificial intelligence are dramatically changing the way businesses operate and people live. By sharing and amplifying the voices of a broad and diverse spectrum of machine learning and AI researchers, practitioners, and innovators, our programs help make ML and AI more accessible, and enhance the TWIML EBOOKS ON MACHINE LEARNING, DEEP LEARNING & AI The Definitive Guide to Machine Learning Platforms. In the second book, we explore these same needs from the top down, starting from the platforms that leading data first companies have built, such as Facebook, Uber, and Google, the process disciplines that they embody, and what these say about the shape of emerging Agile Machine Learning Platforms for the enterprise. TWIMLFEST 2020: A COMMUNITY AI FESTIVAL TWIMLfest 2020 is all about community. We’re putting a call out for TWIMLfest Hosts who would like to create a session around a topic of interest to the community. THE DEFINITIVE GUIDE TO MACHINE LEARNING PLATFORMS The Definitive Guide to Machine Learning Platforms. Ready to scale and operationalize machine learning in your organization? Get our eBook! KUBERNETES FOR MACHINE LEARNING, DEEP LEARNING & AI EBOOK Kubernetes for MLOps: Scaling Enterprise Machine Learning, Deep Learning, and AI. Want to dive deeper into cloud-native infrastructurefor ML, DL & AI?
ARCHITECTURAL PATTERNS IN ML Nishan Subedi, VP of Algorithms at Overstock.com, recently shared his approach to machine learning systems and organizational design. ADVERSARIAL EXAMPLES ARE NOT BUGS, THEY ARE FEATURES W/ A 30. Subscribe: iTunes / Google Play / Spotify / RSS. Aleksander, whose work is more on the theoretical side of machine learning research, walks us through his paper “Adversarial Examples Are Not Bugs, They Are Features,” which was published previously presented at last year’s NeurIPS conference. In our conversation, we explore the ideaof
ABEBA BIRHANE ARCHIVES The issue of bias in AI was the subject of much discussion in the AI community last week. The publication of PULSE, a machine learning model by Duke University researchers, ENTERPRISE READINESS, MLOPS AND LIFECYCLE Sam Charrington: Hey, what’s up everyone? This is Sam. A quick reminder that we’ve got a bunch of newly formed or forming study groups, including groups focused on Kaggle competitions and the fast.ai NLP and Deep Learning for Coders part one courses. It’s nottoo late to
SHOWS - THE TWIML AI PODCAST (FORMERLY THIS WEEK IN Shows - The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Blog. Podcast. Series. eBooks. TWIML EBOOKS ON MACHINE LEARNING, DEEP LEARNING & AI The Definitive Guide to Machine Learning Platforms. In the second book, we explore these same needs from the top down, starting from the platforms that leading data first companies have built, such as Facebook, Uber, and Google, the process disciplines that they embody, and what these say about the shape of emerging Agile Machine Learning Platforms for the enterprise. BLOG - THE TWIML AI PODCAST (FORMERLY THIS WEEK IN MACHINE From 1 to 100+ ML Models in Four Years. In our recent TWIMLcon conversation with Solmaz Shahalizadeh, VP of Commerce Intelligence at Shopify, she shared her journey from deploying Shopify’s first machine learning model four years ago to now having over 100 models in production across all aspects of the business. SERIES - THE TWIML AI PODCAST (FORMERLY THIS WEEK IN By submitting this form you will join our conference mailing list and receive news and updates about upcoming events. We value your privacyand attention.
TWIML PRESENTS: AWS MACHINE LEARNING SUMMIT In this series of interviews, we explore some of the papers from the recent AWS Machine Learning Summit. JOIN THE TWIML COMMUNITY! Welcome to the TWIML Community. The TWIML Community is a global network of machine learning, deep learning and AI practitioners andenthusiasts.
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ACCELERATING DISTRIBUTED AI APPLICATIONS AT QUALCOMM WITH ZIAD ASGHARJune 3, 2021
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Today we’re joined by Ziad Asghar, vice president of product management for snapdragon technologies & roadmap at QualcommTechnologies.
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BUY AND BUILD FOR PRODUCTION MACHINE LEARNING WITH NIR BAR-LEV APPLIED AI RESEARCH AT AWS WITH ALEX SMOLA CAUSAL MODELS IN PRACTICE AT LYFT WITH SEAN TAYLOR USING AI TO MAP THE HUMAN IMMUNE SYSTEM WITH JABRAN ZAHIDMore Podcasts...
CAUSAL MODELING IN MACHINE LEARNING WEBINAR – MAY 2021 Causal Modeling in Machine Learning Webinar - May 2021Causality and probabilistic modeling are some of the hottest topics in machine learning. In early 2020 we launched a new cohort-based course on the topic with instructor Robert Osazuwa Ness. Take a look at the webinar above to learn more and use the link below to enroll. TWIML PRESENTS: ICLR 2021 Thanks to our sponsor! I’d like to send a huge thank you to our friends at Qualcomm Technologies for their continued support of the podcast, and their sponsorship of this ICLR series! Qualcomm AI Research is dedicated to advancing AI to make its core capabilities — perception, reasoning, and action — ubiquitous across devices.Their
TWIMLCON SPONSOR SERIES In this series of interviews, we’re joined by a few of the great sponsors of TWIMLcon: AI Platforms. FROM 1 TO 100+ ML MODELS IN FOUR YEARS In our recent TWIMLcon conversation with Solmaz Shahalizadeh, VP of Commerce Intelligence at Shopify, she shared her journey from deploying Shopify’s first machine learning model four years ago to now having over 100 models in production across all aspects of the business. Though she had much to share, one quote that stood out was,“If
ARCHITECTURAL PATTERNS IN ML In our recent conversation with Nishan Subedi, VP of Algorithms at Overstock.com, he shared with us his approach to machine learning systems and organizational design. Applying architectural patterns to ML system design Nishan shared how the seminal book “Design Patterns: Elements of Reusable Object-Oriented Software” inspired him to look at system architecture as a setMore Articles...
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