The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
717 episodes - English - Latest episode: about 1 month ago - ★★★★★ - 323 ratingsMachine learning and artificial intelligence are dramatically changing the way businesses operate and people live. The TWIML AI Podcast brings the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, engineers and tech-savvy business and IT leaders. Hosted by Sam Charrington, a sought after industry analyst, speaker, commentator and thought leader. Technologies covered include machine learning, artificial intelligence, deep learning, natural language processing, neural networks, analytics, computer science, data science and more.
Homepage Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Episodes
Bringing AI Up to Speed with Autonomous Racing w/ Madhur Behl - #494
June 21, 2021 23:52 - 51 minutesToday we’re joined by Madhur Behl, an Assistant Professor in the department of computer science at the University of Virginia. In our conversation with Madhur, we explore the super interesting work he’s doing at the intersection of autonomous driving, ML/AI, and Motorsports, where he’s teaching self-driving cars how to drive in an agile manner. We talk through the differences between traditional self-driving problems and those encountered in a racing environment, the challenges in solving pl...
AI and Society: Past, Present and Future with Eric Horvitz - #493
June 17, 2021 17:00 - 53 minutesToday we continue our AI Innovation series joined by Microsoft’s Chief Scientific Officer, Eric Horvitz. In our conversation with Eric, we explore his tenure as AAAI president and his focus on the future of AI and its ethical implications, the scope of the study on the topic, and how drastically the AI and machine learning landscape has changed since 2009. We also discuss Eric’s role at Microsoft and the Aether committee that has advised the company on issues of responsible AI since 2017. Fi...
Agile Applied AI Research with Parvez Ahammad - #492
June 14, 2021 17:10 - 43 minutesToday we’re joined by Parvez Ahammad, head of data science applied research at LinkedIn. In our conversation, Parvez shares his interesting take on organizing principles for his organization, starting with how data science teams are broadly organized at LinkedIn. We explore how they ensure time investments on long-term projects are managed, how to identify products that can help in a cross-cutting way across multiple lines of business, quantitative methodologies to identify unintended consequ...
Haptic Intelligence with Katherine J. Kuchenbecker - #491
June 10, 2021 19:41 - 38 minutesToday we’re joined Katherine J. Kuchenbecker, director at the Max Planck Institute for Intelligent Systems and of the haptic intelligence department. 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 “haptic intelligence.” We discuss how ML, mainly computer vision, has been integrated to work together with robots, and some of the devices that Kat...
Data Science on AWS with Chris Fregly and Antje Barth - #490
June 07, 2021 19:02 - 40 minutesToday we continue our coverage of the AWS ML Summit joined by Chris Fregly, a principal developer advocate at AWS, and Antje Barth, a senior developer advocate at AWS. 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. In the book, Chris and Antje demonstrate how to reduce cost and improve performance while successfully building and deploying data science project...
Accelerating Distributed AI Applications at Qualcomm with Ziad Asghar - #489
June 03, 2021 17:54 - 39 minutesToday we’re joined by Ziad Asghar, vice president of product management for snapdragon technologies & roadmap at Qualcomm Technologies. We begin our conversation with Ziad exploring the symbiosis between 5G and AI and what is enabling developers to take full advantage of AI on mobile devices. We also discuss the balance of product evolution and incorporating research concepts, and the evolution of their hardware infrastructure Cloud AI 100, their role in the deployment of Ingenuity, the robo...
Buy AND Build for Production Machine Learning with Nir Bar-Lev - #488
May 31, 2021 17:54 - 43 minutesToday we’re joined by Nir Bar-Lev, co-founder and CEO of ClearML. In our conversation with Nir, we explore how his view of the wide vs deep machine learning platforms paradox has changed and evolved over time, how companies should think about building vs buying and integration, and his thoughts on why experiment management has become an automatic buy, be it open source or otherwise. We also discuss the disadvantages of using a cloud vendor as opposed to a software-based approach, the balanc...
Applied AI Research at AWS with Alex Smola - #487
May 27, 2021 16:42 - 55 minutesToday we’re joined by Alex Smola, Vice President and Distinguished Scientist at AWS AI. We had the pleasure to catch up with Alex prior to the upcoming AWS Machine Learning Summit, and we covered a TON of ground in the conversation. We start by focusing on his research in the domain of deep learning on graphs, including a few examples showcasing its function, and an interesting discussion around the relationship between large language models and graphs. Next up, we discuss their focus on Auto...
Causal Models in Practice at Lyft with Sean Taylor - #486
May 24, 2021 20:25 - 40 minutesToday we’re joined by Sean Taylor, Staff Data Scientist at Lyft Rideshare Labs. We cover a lot of ground with Sean, starting with his recent decision to step away from his previous role as the lab director to take a more hands-on role, and what inspired that change. We also discuss his research at Rideshare Labs, where they take a more “moonshot” approach to solving the typical problems like forecasting and planning, marketplace experimentation, and decision making, and how his statistical ap...
Using AI to Map the Human Immune System w/ Jabran Zahid - #485
May 20, 2021 16:05 - 41 minutesToday we’re joined by Jabran Zahid, a Senior Researcher at Microsoft Research. 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. We discuss how Jabran’s background in astrophysics and cosmology has translated to his current work in immunology and biology, the origins of the antigen map, the biological and how the focus was changed by the emergence of the coronavirus pandemic. We ...
Learning Long-Time Dependencies with RNNs w/ Konstantin Rusch - #484
May 17, 2021 16:28 - 37 minutesToday we conclude our 2021 ICLR coverage joined by Konstantin Rusch, a PhD Student at ETH Zurich. In our conversation with Konstantin, we explore his recent papers, titled coRNN and uniCORNN respectively, which focus on a novel architecture of recurrent neural networks for learning long-time dependencies. We explore the inspiration he drew from neuroscience when tackling this problem, how the performance results compared to networks like LSTMs and others that have been proven to work on this ...
What the Human Brain Can Tell Us About NLP Models with Allyson Ettinger - #483
May 13, 2021 15:28 - 38 minutesToday we continue our ICLR ‘21 series joined by Allyson Ettinger, an Assistant Professor at the University of Chicago. One of our favorite recurring conversations on the podcast is the two-way street that lies between machine learning and neuroscience, which Allyson explores through the modeling of cognitive processes that pertain to language. In our conversation, we discuss how she approaches assessing the competencies of AI, the value of control of confounding variables in AI research, and...
Probabilistic Numeric CNNs with Roberto Bondesan - #482
May 10, 2021 17:36 - 41 minutesToday we kick off our ICLR 2021 coverage joined by Roberto Bondesan, an AI Researcher at Qualcomm. In our conversation with Roberto, we explore his paper Probabilistic Numeric Convolutional Neural Networks, which represents features as Gaussian processes, providing a probabilistic description of discretization error. We discuss some of the other work the team at Qualcomm presented at the conference, including a paper called Adaptive Neural Compression, as well as work on Guage Equvariant Mes...
Building a Unified NLP Framework at LinkedIn with Huiji Gao - #481
May 06, 2021 19:18 - 34 minutesToday we’re joined by Huiji Gao, a Senior Engineering Manager of Machine Learning and AI at LinkedIn. In our conversation with Huiji, we dig into his interest in building NLP tools and systems, including a recent open-source project called DeText, a framework for generating models for ranking classification and language generation. We explore the motivation behind DeText, the landscape at LinkedIn before and after it was put into use broadly, and the various contexts it’s being used in at th...
Dask + Data Science Careers with Jacqueline Nolis - #480
May 03, 2021 15:17 - 34 minutesToday we’re joined by Jacqueline Nolis, Head of Data Science at Saturn Cloud, and co-host of the Build a Career in Data Science Podcast. You might remember Jacqueline from our Advancing Your Data Science Career During the Pandemic panel, where she shared her experience trying to navigate the suddenly hectic data science job market. Now, a year removed from that panel, we explore her book on data science careers, top insights for folks just getting into the field, ways that job seekers shoul...
Machine Learning for Equitable Healthcare Outcomes with Irene Chen - #479
April 29, 2021 16:36 - 36 minutesToday we’re joined by Irene Chen, a Ph.D. student at MIT. Irene’s research is focused on developing new machine learning methods specifically for healthcare, through the lens of questions of equity and inclusion. In our conversation, we explore some of the various projects that Irene has worked on, including an early detection program for intimate partner violence. We also discuss how she thinks about the long term implications of predictions in the healthcare domain, how she’s learned to...
AI Storytelling Systems with Mark Riedl - #478
April 26, 2021 18:02 - 41 minutesToday we’re joined by Mark Riedl, a Professor in the School of Interactive Computing at Georgia Tech. In our conversation with Mark, we explore his work building AI storytelling systems, mainly those that try and predict what listeners think will happen next in a story and how he brings together many different threads of ML/AI together to solve these problems. We discuss how the theory of mind is layered into his research, the use of large language models like GPT-3, and his push towards bein...
Creating Robust Language Representations with Jamie Macbeth - #477
April 21, 2021 21:11 - 40 minutesToday we’re joined by Jamie Macbeth, an assistant professor in the department of computer science at Smith College. In our conversation with Jamie, we explore his work at the intersection of cognitive systems and natural language understanding, and how to use AI as a vehicle for better understanding human intelligence. We discuss the tie that binds these domains together, if the tasks are the same as traditional NLU tasks, and what are the specific things he’s trying to gain deeper insights...
Reinforcement Learning for Industrial AI with Pieter Abbeel - #476
April 19, 2021 18:09 - 58 minutesToday we’re joined by Pieter Abbeel, a Professor at UC Berkeley, co-Director of the Berkeley AI Research Lab (BAIR), as well as Co-founder and Chief Scientist at Covariant. In our conversation with Pieter, we cover a ton of ground, starting with the specific goals and tasks of his work at Covariant, the shift in needs for industrial AI application and robots, if his experience solving real-world problems has changed his opinion on end to end deep learning, and the scope for the three problem...
AutoML for Natural Language Processing with Abhishek Thakur - #475
April 15, 2021 16:44 - 36 minutesToday we’re joined by Abhishek Thakur, a machine learning engineer at Hugging Face, and the world’s first Quadruple Kaggle Grandmaster! In our conversation with Abhishek, we explore his Kaggle journey, including how his approach to competitions has evolved over time, what resources he used to prepare for his transition to a full-time practitioner, and the most important lessons he’s learned along the way. We also spend a great deal of time discussing his new role at HuggingFace, where he's ...
Inclusive Design for Seeing AI with Saqib Shaikh - #474
April 12, 2021 17:00 - 35 minutesToday we’re joined by Saqib Shaikh, a Software Engineer at Microsoft, and the lead for the Seeing AI Project. In our conversation with Saqib, we explore the Seeing AI app, an app “that narrates the world around you.” We discuss the various technologies and use cases for the app, and how it has evolved since the inception of the project, how the technology landscape supports projects like this one, and the technical challenges he faces when building out the app. We also the relationship and ...
Theory of Computation with Jelani Nelson - #473
April 08, 2021 18:06 - 33 minutesToday we’re joined by Jelani Nelson, a professor in the Theory Group at UC Berkeley. In our conversation with Jelani, we explore his research in computational theory, where he focuses on building streaming and sketching algorithms, random projections, and dimensionality reduction. We discuss how Jelani thinks about the balance between the innovation of new algorithms and the performance of existing ones, and some use cases where we’d see his work in action. Finally, we talk through how his ...
Human-Centered ML for High-Risk Behaviors with Stevie Chancellor - #472
April 05, 2021 20:08 - 40 minutesToday we’re joined by Stevie Chancellor, an Assistant Professor in the Department of Computer Science and Engineering at the University of Minnesota. In our conversation with Stevie, we explore her work at the intersection of human-centered computing, machine learning, and high-risk mental illness behaviors. We discuss how her background in HCC helps shapes her perspective, how machine learning helps with understanding severity levels of mental illness, and some recent work where convolution...
Operationalizing AI at Dataiku with Conor Jensen - #471
April 01, 2021 18:49 - 23 minutesIn this episode, we’re joined by Dataiku’s Director of Data Science, Conor Jensen. In our conversation, we explore the panel he lead at TWIMLcon “AI Operationalization: Where the AI Rubber Hits the Road for the Enterprise,” discussing the ML journey of each panelist’s company, and where Dataiku fits in the equation. The complete show notes for this episode can be found at https://twimlai.com/go/471.
ML Lifecycle Management at Algorithmia with Diego Oppenheimer - #470
April 01, 2021 18:37 - 26 minutesIn 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. The complete show notes for this episode can be found at twimlai.com/go/470.
End to End ML at Cloudera with Santiago Giraldo - #469 [TWIMLcon Sponsor Series]
March 29, 2021 20:28 - 22 minutesIn this episode, we’re joined by Santiago Giraldo, Director Of Product Marketing for Data Engineering & Machine Learning at Cloudera. In our conversation, we discuss Cloudera’s talks at TWIMLcon, as well as their various research efforts from their Fast Forward Labs arm. The complete show notes for this episode can be found at twimlai.com/sponsorseries.
ML Platforms for Global Scale at Prosus with Paul van der Boor - #468 [TWIMLcon Sponsor Series]
March 29, 2021 20:20 - 22 minutesIn this episode, we’re joined by Paul van der Boor, Senior Director of Data Science at Prosus, to discuss his TWIMLcon experience and how they’re using ML platforms to manage machine learning at a global scale. The complete show notes for this episode can be found at twimlai.com/sponsorseries.
Can Language Models Be Too Big? 🦜 with Emily Bender and Margaret Mitchell - #467
March 24, 2021 16:11 - 54 minutesToday we’re joined by Emily M. Bender, Professor at the University of Washington, and AI Researcher, Margaret Mitchell. 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. In this conversation, our main priority was to focus on the message of the paper itself. W...
Applying RL to Real-World Robotics with Abhishek Gupta - #466
March 22, 2021 19:25 - 36 minutesToday we’re joined by Abhishek Gupta, a PhD Student at UC Berkeley. Abhishek, a member of the BAIR Lab, joined us to talk about his recent robotics and reinforcement learning research and interests, which focus on applying RL to real-world robotics applications. We explore the concept of reward supervision, and how to get robots to learn these reward functions from videos, and the rationale behind supervised experts in these experiments. We also discuss the use of simulation for experimen...
Accelerating Innovation with AI at Scale with David Carmona - #465
March 18, 2021 02:38 - 48 minutesToday we’re joined by David Carmona, General Manager of Artificial Intelligence & Innovation at Microsoft. In our conversation with David, we focus on his work on AI at Scale, an initiative focused on the change in the ways people are developing AI, driven in large part by the emergence of massive models. We explore David’s thoughts about the progression towards larger models, the focus on parameters and how it ties to the architecture of these models, and how we should assess how attention...
Complexity and Intelligence with Melanie Mitchell - #464
March 15, 2021 17:46 - 32 minutesToday we’re joined by Melanie Mitchell, Davis Professor at the Santa Fe Institute and author of Artificial Intelligence: A Guide for Thinking Humans. While Melanie has had a long career with a myriad of research interests, we focus on a few, complex systems and the understanding of intelligence, complexity, and her recent work on getting AI systems to make analogies. We explore examples of social learning, and how it applies to AI contextually, and defining intelligence. We discuss potent...
Robust Visual Reasoning with Adriana Kovashka - #463
March 11, 2021 15:08 - 41 minutesToday we’re joined by Adriana Kovashka, an Assistant Professor at the University of Pittsburgh. In our conversation with Adriana, we explore her visual commonsense research, and how it intersects with her background in media studies. We discuss the idea of shortcuts, or faults in visual question answering data sets that appear in many SOTA results, as well as the concept of masking, a technique developed to assist in context prediction. Adriana then describes how these techniques fit into he...
Architectural and Organizational Patterns in Machine Learning with Nishan Subedi - #462
March 08, 2021 20:13 - 57 minutesToday we’re joined by Nishan Subedi, VP of Algorithms at Overstock.com. In our conversation with Nishan, we discuss his interesting path to MLOps and how ML/AI is used at Overstock, primarily for search/recommendations and marketing/advertisement use cases. We spend a great deal of time exploring machine learning architecture and architectural patterns, how he perceives the differences between architectural patterns and algorithms, and emergent architectural patterns that standards have not ...
Common Sense Reasoning in NLP with Vered Shwartz - #461
March 04, 2021 22:40 - 37 minutesToday we’re joined by Vered Shwartz, a Postdoctoral Researcher at both the Allen Institute for AI and the Paul G. Allen School of Computer Science & Engineering at the University of Washington. In our conversation with Vered, we explore her NLP research, where she focuses on teaching machines common sense reasoning in natural language. We discuss training using GPT models and the potential use of multimodal reasoning and incorporating images to augment the reasoning capabilities. Finally, w...
How to Be Human in the Age of AI with Ayanna Howard - #460
March 01, 2021 20:04 - 34 minutes - 80.1 MBToday we’re joined by returning guest and newly appointed Dean of the College of Engineering at The Ohio State University, Ayanna Howard. Our conversation with Dr. Howard focuses on her recently released book, Sex, Race, and Robots: How to Be Human in the Age of AI, which is an extension of her research on the relationships between humans and robots. We continue to explore this relationship through the themes of socialization introduced in the book, like associating genders to AI and robo...
How to Be Human in the Age of AI with Ayanna Howard - #460
March 01, 2021 20:04 - 36 minutesToday we’re joined by returning guest and newly appointed Dean of the College of Engineering at The Ohio State University, Ayanna Howard. Our conversation with Dr. Howard focuses on her recently released book, Sex, Race, and Robots: How to Be Human in the Age of AI, which is an extension of her research on the relationships between humans and robots. We continue to explore this relationship through the themes of socialization introduced in the book, like associating genders to AI and roboti...
Evolution and Intelligence with Penousal Machado - #459
February 25, 2021 21:20 - 57 minutesToday we’re joined by Penousal Machado, Associate Professor and Head of the Computational Design and Visualization Lab in the Center for Informatics at the University of Coimbra. In our conversation with Penousal, we explore his research in Evolutionary Computation, and how that work coincides with his passion for images and graphics. We also discuss the link between creativity and humanity, and have an interesting sidebar about the philosophy of Sci-Fi in popular culture. Finally, we dig...
Innovating Neural Machine Translation with Arul Menezes - #458
February 22, 2021 20:11 - 44 minutesToday we’re joined by Arul Menezes, a Distinguished Engineer at Microsoft. Arul, a 30 year veteran of Microsoft, manages the machine translation research and products in the Azure Cognitive Services group. In our conversation, we explore the historical evolution of machine translation like breakthroughs in seq2seq and the emergence of transformer models. We also discuss how they’re using multilingual transfer learning and combining what they’ve learned in translation with pre-trained lang...
Building the Product Knowledge Graph at Amazon with Luna Dong - #457
February 18, 2021 21:09 - 43 minutesToday we’re joined by Luna Dong, Sr. Principal Scientist at Amazon. 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 how ML comes into play in search and recommendation use cases. Finally, we explore the similarities to relational databases and efforts to standardize the prod...
Towards a Systems-Level Approach to Fair ML with Sarah M. Brown - #456
February 15, 2021 21:26 - 37 minutesToday we’re joined by Sarah Brown, an Assistant Professor of Computer Science at the University of Rhode Island. In our conversation with Sarah, whose research focuses on Fairness in AI, we discuss why a “systems-level” approach is necessary when thinking about ethical and fairness issues in models and algorithms. We also explore Wiggum: a fairness forensics tool, which explores bias and allows for regular auditing of data, as well as her ongoing collaboration with a social psychologist to e...
AI for Digital Health Innovation with Andrew Trister - #455
February 11, 2021 18:38 - 41 minutesToday we’re joined by Andrew Trister, Deputy Director for Digital Health Innovation at the Bill & Melinda Gates Foundation. In our conversation with Andrew, we explore some of the AI use cases at the foundation, with the goal of bringing “community-based” healthcare to underserved populations in the global south. We focus on COVID-19 response and improving the accuracy of malaria testing with a bayesian framework and a few others, and the challenges like scaling these systems and building o...
System Design for Autonomous Vehicles with Drago Anguelov - #454
February 08, 2021 21:20 - 50 minutesToday we’re joined by Drago Anguelov, Distinguished Scientist and Head of Research at Waymo. In our conversation, we explore the state of the autonomous vehicles space broadly and at Waymo, including how AV has improved in the last few years, their focus on level 4 driving, and Drago’s thoughts on the direction of the industry going forward. Drago breaks down their core ML use cases, Perception, Prediction, Planning, and Simulation, and how their work has lead to a fully autonomous vehicle ...
Building, Adopting, and Maturing LinkedIn's Machine Learning Platform with Ya Xu - #453
February 04, 2021 22:41 - 49 minutesToday we’re joined by Ya Xu, head of Data Science at LinkedIn, and TWIMLcon: AI Platforms 2021 Keynote Speaker. We cover a ton of ground with Ya, starting with her experiences prior to becoming Head of DS, as one of the architects of the LinkedIn Platform. We discuss her “three phases” (building, adoption, and maturation) to keep in mind when building out a platform, how to avoid “hero syndrome” early in the process. Finally, we dig into the various tools and platforms that give LinkedIn te...
Expressive Deep Learning with Magenta DDSP w/ Jesse Engel - #452
February 01, 2021 21:22 - 39 minutesToday we’re joined by Jesse Engel, Staff Research Scientist at Google, working on the Magenta Project. In our conversation with Jesse, we explore the current landscape of creativity AI, and the role Magenta plays in helping express creativity through ML and deep learning. We dig deep into their Differentiable Digital Signal Processing (DDSP) library, which “lets you combine the interpretable structure of classical DSP elements (such as filters, oscillators, reverberation, etc.) with the exp...
Semantic Folding for Natural Language Understanding with Francisco Weber - #451
January 29, 2021 00:38 - 55 minutesToday we’re joined by return guest Francisco Webber, CEO & Co-founder of Cortical.io. Francisco was originally a guest over 4 years and 400 episodes ago, where we discussed his company Cortical.io, and their unique approach to natural language processing. In this conversation, Francisco gives us an update on Cortical, including their applications and toolkit, including semantic extraction, classifier, and search use cases. We also discuss GPT-3, and how it compares to semantic folding, the u...
The Future of Autonomous Systems with Gurdeep Pall - #450
January 25, 2021 06:39 - 53 minutesToday we’re joined by Gurdeep Pall, Corporate Vice President at Microsoft. 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. In our conversation with Gurdeep, we discuss Microsoft’s acquisition of Bonsai and how they fit in the toolchain for creating b...
AI for Ecology and Ecosystem Preservation with Bryan Carstens - #449
January 21, 2021 22:40 - 35 minutesToday we’re joined by Bryan Carstens, a professor in the Department of Evolution, Ecology, and Organismal Biology & Head of the Tetrapod Division in the Museum of Biological Diversity at The Ohio State University. In our conversation with Bryan, who comes from a traditional biology background, we cover a ton of ground, including a foundational layer of understanding for the vast known unknowns in species and biodiversity, and how he came to apply machine learning to his lab’s research. We e...
Off-Line, Off-Policy RL for Real-World Decision Making at Facebook - #448
January 18, 2021 23:16 - 1 hourToday we’re joined by Jason Gauci, a Software Engineering Manager at Facebook AI. In our conversation with Jason, we explore their Reinforcement Learning platform, Re-Agent (Horizon). We discuss the role of decision making and game theory in the platform and the types of decisions they’re using Re-Agent to make, from ranking and recommendations to their eCommerce marketplace. Jason also walks us through the differences between online/offline and on/off policy model training, and where Re-Ag...
A Future of Work for the Invisible Workers in A.I. with Saiph Savage - #447
January 14, 2021 22:24 - 38 minutesToday we’re joined by Saiph Savage, a Visiting professor at the Human-Computer Interaction Institute at CMU, director of the HCI Lab at WVU, and co-director of the Civic Innovation Lab at UNAM. We caught up with Saiph during NeurIPS where she delivered an insightful invited talk “A Future of Work for the Invisible Workers in A.I.”. In our conversation with Saiph, we gain a better understanding of the “Invisible workers,” or the people doing the work of labeling for machine learning and AI sy...
Trends in Graph Machine Learning with Michael Bronstein - #446
January 11, 2021 22:35 - 1 hourToday we’re back with the final episode of AI Rewind joined by Michael Bronstein, a professor at Imperial College London and the Head of Graph Machine Learning at Twitter. In our conversation with Michael, we touch on his thoughts about the year in Machine Learning overall, including GPT-3 and Implicit Neural Representations, but spend a major chunk of time on the sub-field of Graph Machine Learning. We talk through the application of Graph ML across domains like physics and bioinformatics...