All Episodes
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) — 794 episodes
Do AI Tokenomics Matter More Than Model Benchmarks? with Chris Potts - #776
World Models and the Future of Spatial AI with Justin Johnson - #775
Why the Next AI Breakthrough May Come from Physics with Max Welling - #774
Why Image Generation Needs More Than Bigger Models with Fatih Porikli - #773
Why Models Are AI’s Next Training Dataset with Damian Borth - #772
How AI Learns to Smell with Alex Wiltschko - #771
Why AI Agents Break the GenAI Security Model with Devvret Rishi - #770
Is RAG Dead? Lessons from Building AI for Tax Law with Alex Bowcut - #769
Relational Foundation Models for Enterprise Data with Jure Leskovec - #768
How to Find the Agent Failures Your Evals Miss with Scott Clark - #767
How to Engineer AI Inference Systems with Philip Kiely - #766
How Capital One Delivers Multi-Agent Systems with Rashmi Shetty - #765
The Race to Production-Grade Diffusion LLMs with Stefano Ermon - #764
Agent Swarms and Knowledge Graphs for Autonomous Software Development with Siddhant Pardeshi - #763
AI Trends 2026: OpenClaw Agents, Reasoning LLMs, and More with Sebastian Raschka - #762
The Evolution of Reasoning in Small Language Models with Yejin Choi - #761
Intelligent Robots in 2026: Are We There Yet? with Nikita Rudin - #760
Rethinking Pre-Training for Agentic AI with Aakanksha Chowdhery - #759
Why Vision Language Models Ignore What They See with Munawar Hayat - #758
Scaling Agentic Inference Across Heterogeneous Compute with Zain Asgar - #757
Proactive Agents for the Web with Devi Parikh - #756
AI Orchestration for Smart Cities and the Enterprise with Robin Braun and Luke Norris - #755
Building an AI Mathematician with Carina Hong - #754
High-Efficiency Diffusion Models for On-Device Image Generation and Editing with Hung Bui - #753
Vibe Coding's Uncanny Valley with Alexandre Pesant - #752
Dataflow Computing for AI Inference with Kunle Olukotun - #751
Recurrence and Attention for Long-Context Transformers with Jacob Buckman - #750
The Decentralized Future of Private AI with Illia Polosukhin - #749
Inside Nano Banana 🍌 and the Future of Vision-Language Models with Oliver Wang - #748
Is It Time to Rethink LLM Pre-Training? with Aditi Raghunathan - #747
Building an Immune System for AI Generated Software with Animesh Koratana - #746
Autoformalization and Verifiable Superintelligence with Christian Szegedy - #745
Multimodal AI Models on Apple Silicon with MLX with Prince Canuma - #744
Genie 3: A New Frontier for World Models with Jack Parker-Holder and Shlomi Fruchter - #743
Closing the Loop Between AI Training and Inference with Lin Qiao - #742
Context Engineering for Productive AI Agents with Filip Kozera - #741
Infrastructure Scaling and Compound AI Systems with Jared Quincy Davis - #740
Building Voice AI Agents That Don’t Suck with Kwindla Kramer - #739
Distilling Transformers and Diffusion Models for Robust Edge Use Cases with Fatih Porikli - #738
Building the Internet of Agents with Vijoy Pandey - #737
LLMs for Equities Feature Forecasting at Two Sigma with Ben Wellington - #736
Zero-Shot Auto-Labeling: The End of Annotation for Computer Vision with Jason Corso - #735
Grokking, Generalization Collapse, and the Dynamics of Training Deep Neural Networks with Charles Martin - #734
Google I/O 2025 Special Edition - #733
RAG Risks: Why Retrieval-Augmented LLMs are Not Safer with Sebastian Gehrmann - #732
From Prompts to Policies: How RL Builds Better AI Agents with Mahesh Sathiamoorthy - #731
How OpenAI Builds AI Agents That Think and Act with Josh Tobin - #730
CTIBench: Evaluating LLMs in Cyber Threat Intelligence with Nidhi Rastogi - #729
Generative Benchmarking with Kelly Hong - #728
Exploring the Biology of LLMs with Circuit Tracing with Emmanuel Ameisen - #727
Teaching LLMs to Self-Reflect with Reinforcement Learning with Maohao Shen - #726
Waymo's Foundation Model for Autonomous Driving with Drago Anguelov - #725
Dynamic Token Merging for Efficient Byte-level Language Models with Julie Kallini - #724
Scaling Up Test-Time Compute with Latent Reasoning with Jonas Geiping - #723
Imagine while Reasoning in Space: Multimodal Visualization-of-Thought with Chengzu Li - #722
Inside s1: An o1-Style Reasoning Model That Cost Under $50 to Train with Niklas Muennighoff - #721
Accelerating AI Training and Inference with AWS Trainium2 with Ron Diamant - #720
π0: A Foundation Model for Robotics with Sergey Levine - #719
AI Trends 2025: AI Agents and Multi-Agent Systems with Victor Dibia - #718
Speculative Decoding and Efficient LLM Inference with Chris Lott - #717
Ensuring Privacy for Any LLM with Patricia Thaine - #716
AI Engineering Pitfalls with Chip Huyen - #715
Evolving MLOps Platforms for Generative AI and Agents with Abhijit Bose - #714
Why Agents Are Stupid & What We Can Do About It with Dan Jeffries - #713
Automated Reasoning to Prevent LLM Hallucination with Byron Cook - #712
AI at the Edge: Qualcomm AI Research at NeurIPS 2024 with Arash Behboodi - #711
AI for Network Management with Shirley Wu - #710
Why Your RAG System Is Broken, and How to Fix It with Jason Liu - #709
An Agentic Mixture of Experts for DevOps with Sunil Mallya - #708
Building AI Voice Agents with Scott Stephenson - #707
Is Artificial Superintelligence Imminent? with Tim Rocktäschel - #706
ML Models for Safety-Critical Systems with Lucas García - #705
AI Agents: Substance or Snake Oil with Arvind Narayanan - #704
AI Agents for Data Analysis with Shreya Shankar - #703
Stealing Part of a Production Language Model with Nicholas Carlini - #702
Supercharging Developer Productivity with ChatGPT and Claude with Simon Willison - #701
Automated Design of Agentic Systems with Shengran Hu - #700
The EU AI Act and Mitigating Bias in Automated Decisioning with Peter van der Putten - #699
The Building Blocks of Agentic Systems with Harrison Chase - #698
Simplifying On-Device AI for Developers with Siddhika Nevrekar - #697
Genie: Generative Interactive Environments with Ashley Edwards - #696
Bridging the Sim2real Gap in Robotics with Marius Memmel - #695
Building Real-World LLM Products with Fine-Tuning and More with Hamel Husain - #694
Mamba, Mamba-2 and Post-Transformer Architectures for Generative AI with Albert Gu - #693
Decoding Animal Behavior to Train Robots with EgoPet with Amir Bar - #692
How Microsoft Scales Testing and Safety for Generative AI with Sarah Bird - #691
Long Context Language Models and their Biological Applications with Eric Nguyen - #690
Accelerating Sustainability with AI with Andres Ravinet - #689
Gen AI at the Edge: Qualcomm AI Research at CVPR 2024 with Fatih Porikli - #688
Energy Star Ratings for AI Models with Sasha Luccioni - #687
Language Understanding and LLMs with Christopher Manning - #686
Chronos: Learning the Language of Time Series with Abdul Fatir Ansari - #685
Powering AI with the World's Largest Computer Chip with Joel Hestness - #684
AI for Power & Energy with Laurent Boinot - #683
Controlling Fusion Reactor Instability with Deep Reinforcement Learning with Aza Jalalvand - #682
GraphRAG: Knowledge Graphs for AI Applications with Kirk Marple - #681
Teaching Large Language Models to Reason with Reinforcement Learning with Alex Havrilla - #680
Localizing and Editing Knowledge in LLMs with Peter Hase - #679
Coercing LLMs to Do and Reveal (Almost) Anything with Jonas Geiping - #678
V-JEPA, AI Reasoning from a Non-Generative Architecture with Mido Assran - #677
Video as a Universal Interface for AI Reasoning with Sherry Yang - #676
Assessing the Risks of Open AI Models with Sayash Kapoor - #675
OLMo: Everything You Need to Train an Open Source LLM with Akshita Bhagia - #674
Training Data Locality and Chain-of-Thought Reasoning in LLMs with Ben Prystawski - #673
Reasoning Over Complex Documents with DocLLM with Armineh Nourbakhsh - #672
Are Emergent Behaviors in LLMs an Illusion? with Sanmi Koyejo - #671
AI Trends 2024: Reinforcement Learning in the Age of LLMs with Kamyar Azizzadenesheli - #670
Building and Deploying Real-World RAG Applications with Ram Sriharsha - #669
Nightshade: Data Poisoning to Fight Generative AI with Ben Zhao - #668
Learning Transformer Programs with Dan Friedman - #667
AI Trends 2024: Machine Learning & Deep Learning with Thomas Dietterich - #666
AI Trends 2024: Computer Vision with Naila Murray - #665
Are Vector DBs the Future Data Platform for AI? with Ed Anuff - #664
Quantizing Transformers by Helping Attention Heads Do Nothing with Markus Nagel - #663
Responsible AI in the Generative Era with Michael Kearns - #662
Edutainment for AI and AWS PartyRock with Mike Miller - #661
Data, Systems and ML for Visual Understanding with Cody Coleman - #660
Patterns and Middleware for LLM Applications with Kyle Roche - #659
AI Access and Inclusivity as a Technical Challenge with Prem Natarajan - #658
Building LLM-Based Applications with Azure OpenAI with Jay Emery - #657
Visual Generative AI Ecosystem Challenges with Richard Zhang - #656
Deploying Edge and Embedded AI Systems with Heather Gorr - #655
AI Sentience, Agency and Catastrophic Risk with Yoshua Bengio - #654
Delivering AI Systems in Highly Regulated Environments with Miriam Friedel - #653
Mental Models for Advanced ChatGPT Prompting with Riley Goodside - #652
Multilingual LLMs and the Values Divide in AI with Sara Hooker - #651
Scaling Multi-Modal Generative AI with Luke Zettlemoyer - #650
Pushing Back on AI Hype with Alex Hanna - #649
Personalization for Text-to-Image Generative AI with Nataniel Ruiz - #648
Ensuring LLM Safety for Production Applications with Shreya Rajpal - #647
What’s Next in LLM Reasoning? with Roland Memisevic - #646
Is ChatGPT Getting Worse? with James Zou - #645
Why Deep Networks and Brains Learn Similar Features with Sophia Sanborn - #644
Inverse Reinforcement Learning Without RL with Gokul Swamy - #643
Explainable AI for Biology and Medicine with Su-In Lee - #642
Transformers On Large-Scale Graphs with Bayan Bruss - #641
The Enterprise LLM Landscape with Atul Deo - #640
BloombergGPT - an LLM for Finance with David Rosenberg - #639
Are LLMs Good at Causal Reasoning? with Robert Osazuwa Ness - #638
Privacy vs Fairness in Computer Vision with Alice Xiang - #637
Unifying Vision and Language Models with Mohit Bansal - #636
Data Augmentation and Optimized Architectures for Computer Vision with Fatih Porikli - #635
Mojo: A Supercharged Python for AI with Chris Lattner - #634
Stable Diffusion and LLMs at the Edge with Jilei Hou - #633
Modeling Human Behavior with Generative Agents with Joon Sung Park - #632
Towards Improved Transfer Learning with Hugo Larochelle - #631
Language Modeling With State Space Models with Dan Fu - #630
Building Maps and Spatial Awareness in Blind AI Agents with Dhruv Batra - #629
AI Agents and Data Integration with GPT and LLaMa with Jerry Liu - #628
Hyperparameter Optimization through Neural Network Partitioning with Christos Louizos - #627
Are LLMs Overhyped or Underappreciated? with Marti Hearst - #626
Are Large Language Models a Path to AGI? with Ben Goertzel - #625
Open Source Generative AI at Hugging Face with Jeff Boudier - #624
Generative AI at the Edge with Vinesh Sukumar - #623
Runway Gen-2: Generative AI for Video Creation with Anastasis Germanidis - #622
Watermarking Large Language Models to Fight Plagiarism with Tom Goldstein - 621
Does ChatGPT “Think”? A Cognitive Neuroscience Perspective with Anna Ivanova - #620
Robotic Dexterity and Collaboration with Monroe Kennedy III - #619
Privacy and Security for Stable Diffusion and LLMs with Nicholas Carlini - #618
Understanding AI’s Impact on Social Disparities with Vinodkumar Prabhakaran - #617
AI Trends 2023: Causality and the Impact on Large Language Models with Robert Osazuwa Ness - #616
Data-Centric Zero-Shot Learning for Precision Agriculture with Dimitris Zermas - #615
How LLMs and Generative AI are Revolutionizing AI for Science with Anima Anandkumar - #614
AI Trends 2023: Natural Language Proc - ChatGPT, GPT-4 and Cutting Edge Research with Sameer Singh - #613
AI Trends 2023: Reinforcement Learning - RLHF, Robotic Pre-Training, and Offline RL with Sergey Levine - #612
Supporting Food Security in Africa Using ML with Catherine Nakalembe - #611
Service Cards and ML Governance with Michael Kearns - #610
Reinforcement Learning for Personalization at Spotify with Tony Jebara - #609
Will ChatGPT take my job? - #608
Geospatial Machine Learning at AWS with Kumar Chellapilla - #607
Real-Time ML Workflows at Capital One with Disha Singla - #606
Weakly Supervised Causal Representation Learning with Johann Brehmer - #605
Stable Diffusion & Generative AI with Emad Mostaque - #604
Exploring Large Language Models with ChatGPT - #603
Accelerating Intelligence with AI-Generating Algorithms with Jeff Clune - #602
Programmatic Labeling and Data Scaling for Autonomous Commercial Aviation with Cedric Cocaud - #601
Engineering Production NLP Systems at T-Mobile with Heather Nolis - #600
Sim2Real and Optimus, the Humanoid Robot with Ken Goldberg - #599
The Evolution of the NLP Landscape with Oren Etzioni - #598
Live from TWIMLcon! The Great MLOps Debate: End-to-End ML Platforms vs Specialized Tools - #597
Live from TWIMLcon! You're not Facebook. Architecting MLOps for B2B Use Cases with Jacopo Tagliabue - #596
Building Foundational ML Platforms with Kubernetes and Kubeflow with Ali Rodell - #595
AI-Powered Peer Programming with Vasi Philomin - #594
The Top 10 Reasons to Register for TWIMLcon: AI Platforms 2022!
Applied AI/ML Research at PayPal with Vidyut Naware - #593
Assessing Data Quality at Shopify with Wendy Foster - #592
Transformers for Tabular Data at Capital One with Bayan Bruss - #591
Understanding Collective Insect Communication with ML, w/ Orit Peleg - #590
Multimodal, Multi-Lingual NLP at Hugging Face with John Bohannon and Douwe Kiela - #589
Synthetic Data Generation for Robotics with Bill Vass - #588
Multi-Device, Multi-Use-Case Optimization with Jeff Gehlhaar - #587
Causal Conceptions of Fairness and their Consequences with Sharad Goel - #586
Brain-Inspired Hardware and Algorithm Co-Design with Melika Payvand - #585
Equivariant Priors for Compressed Sensing with Arash Behboodi - #584
Managing Data Labeling Ops for Success with Audrey Smith - #583
Engineering an ML-Powered Developer-First Search Engine with Richard Socher - #582
On The Path Towards Robot Vision with Aljosa Osep - #581
More Language, Less Labeling with Kate Saenko - #580
Optical Flow Estimation, Panoptic Segmentation, and Vision Transformers with Fatih Porikli - #579
Data Governance for Data Science with Adam Wood - #578
Feature Platforms for Data-Centric AI with Mike Del Balso - #577
The Fallacy of "Ground Truth" with Shayan Mohanty - #576
Principle-centric AI with Adrien Gaidon - #575
Data Debt in Machine Learning with D. Sculley - #574
AI for Enterprise Decisioning at Scale with Rob Walker - #573
Data Rights, Quantification and Governance for Ethical AI with Margaret Mitchell - #572
Studying Machine Intelligence with Been Kim - #571
Advances in Neural Compression with Auke Wiggers - #570
Mixture-of-Experts and Trends in Large-Scale Language Modeling with Irwan Bello - #569
Daring to DAIR: Distributed AI Research with Timnit Gebru - #568
Hierarchical and Continual RL with Doina Precup - #567
Open-Source Drug Discovery with DeepChem with Bharath Ramsundar - #566
Advancing Hands-On Machine Learning Education with Sebastian Raschka - #565
Big Science and Embodied Learning at Hugging Face 🤗 with Thomas Wolf - #564
Full-Stack AI Systems Development with Murali Akula - #563
100x Improvements in Deep Learning Performance with Sparsity, w/ Subutai Ahmad - #562
Scaling BERT and GPT for Financial Services with Jennifer Glore - #561
Trends in Deep Reinforcement Learning with Kamyar Azizzadenesheli - #560
Deep Reinforcement Learning at the Edge of the Statistical Precipice with Rishabh Agarwal - #559
Designing New Energy Materials with Machine Learning with Rafael Gomez-Bombarelli - #558
Differentiable Programming for Oceanography with Patrick Heimbach - #557
Trends in Machine Learning & Deep Learning with Zachary Lipton - #556
Solving the Cocktail Party Problem with Machine Learning, w/ Jonathan Le Roux - #555
Machine Learning for Earthquake Seismology with Karianne Bergen - #554
The New DBfication of ML/AI with Arun Kumar - #553
Building Public Interest Technology with Meredith Broussard - #552
A Universal Law of Robustness via Isoperimetry with Sebastien Bubeck - #551
Trends in NLP with John Bohannon - #550
Trends in Computer Vision with Georgia Gkioxari - #549
Kids Run the Darndest Experiments: Causal Learning in Children with Alison Gopnik - #548
Hypergraphs, Simplicial Complexes and Graph Representations of Complex Systems with Tina Eliassi-Rad - #547
Deep Learning, Transformers, and the Consequences of Scale with Oriol Vinyals - #546
Optimization, Machine Learning and Intelligent Experimentation with Michael McCourt - #545
Jupyter and the Evolution of ML Tooling with Brian Granger - #544
Creating a Data-Driven Culture at ADP with Jack Berkowitz - #543
re:Invent Roundup 2021 with Bratin Saha - #542
Multi-modal Deep Learning for Complex Document Understanding with Doug Burdick - #541
Predictive Maintenance Using Deep Learning and Reliability Engineering with Shayan Mortazavi - #540
Building a Deep Tech Startup in NLP with Nasrin Mostafazadeh - #539
Models for Human-Robot Collaboration with Julie Shah - #538
Four Key Tools for Robust Enterprise NLP with Yunyao Li - #537
Machine Learning at GSK with Kim Branson - #536
The Benefit of Bottlenecks in Evolving Artificial Intelligence with David Ha - #535
Facebook Abandons Facial Recognition. Should Everyone Else Follow Suit? With Luke Stark - #534
Building Blocks of Machine Learning at LEGO with Francesc Joan Riera - #533
Exploring the FastAI Tooling Ecosystem with Hamel Husain - #532
Multi-task Learning for Melanoma Detection with Julianna Ianni - #531
House Hunters: Machine Learning at Redfin with Akshat Kaul - #530
Attacking Malware with Adversarial Machine Learning, w/ Edward Raff - #529
Learning to Ponder: Memory in Deep Neural Networks with Andrea Banino - #528
Advancing Deep Reinforcement Learning with NetHack, w/ Tim Rocktäschel - #527
Building Technical Communities at Stack Overflow with Prashanth Chandrasekar - #526
Deep Learning is Eating 5G. Here’s How, w/ Joseph Soriaga - #525
Modeling Human Cognition with RNNs and Curriculum Learning, w/ Kanaka Rajan - #524
Do You Dare Run Your ML Experiments in Production? with Ville Tuulos - #523
Delivering Neural Speech Services at Scale with Li Jiang - #522
AI’s Legal and Ethical Implications with Sandra Wachter - #521
Compositional ML and the Future of Software Development with Dillon Erb - #520
Generating SQL Database Queries from Natural Language with Yanshuai Cao - #519
Social Commonsense Reasoning with Yejin Choi - #518
Deep Reinforcement Learning for Game Testing at EA with Konrad Tollmar - #517
Exploring AI 2041 with Kai-Fu Lee - #516
Advancing Robotic Brains and Bodies with Daniela Rus - #515
Neural Synthesis of Binaural Speech From Mono Audio with Alexander Richard - #514
Using Brain Imaging to Improve Neural Networks with Alona Fyshe - #513
Adaptivity in Machine Learning with Samory Kpotufe - #512
A Social Scientist’s Perspective on AI with Eric Rice - #511
Applications of Variational Autoencoders and Bayesian Optimization with José Miguel Hernández Lobato - #510
Codex, OpenAI’s Automated Code Generation API with Greg Brockman - #509
Spatiotemporal Data Analysis with Rose Yu - #508
Parallelism and Acceleration for Large Language Models with Bryan Catanzaro - #507
Applying the Causal Roadmap to Optimal Dynamic Treatment Rules with Lina Montoya - #506
Constraint Active Search for Human-in-the-Loop Optimization with Gustavo Malkomes - #505
Fairness and Robustness in Federated Learning with Virginia Smith -#504
Scaling AI at H&M Group with Errol Koolmeister - #503
Evolving AI Systems Gracefully with Stefano Soatto - #502
ML Innovation in Healthcare with Suchi Saria - #501
Cross-Device AI Acceleration, Compilation & Execution with Jeff Gehlhaar - #500
The Future of Human-Machine Interaction with Dan Bohus and Siddhartha Sen - #499
Vector Quantization for NN Compression with Julieta Martinez - #498
Deep Unsupervised Learning for Climate Informatics with Claire Monteleoni - #497
Skip-Convolutions for Efficient Video Processing with Amir Habibian - #496
Advancing NLP with Project Debater w/ Noam Slonim - #495
Bringing AI Up to Speed with Autonomous Racing w/ Madhur Behl - #494
AI and Society: Past, Present and Future with Eric Horvitz - #493
Agile Applied AI Research with Parvez Ahammad - #492
Haptic Intelligence with Katherine J. Kuchenbecker - #491
Data Science on AWS with Chris Fregly and Antje Barth - #490
Accelerating Distributed AI Applications at Qualcomm with Ziad Asghar - #489
Buy AND Build for Production Machine Learning with Nir Bar-Lev - #488
Applied AI Research at AWS with Alex Smola - #487
Causal Models in Practice at Lyft with Sean Taylor - #486
Using AI to Map the Human Immune System w/ Jabran Zahid - #485
Learning Long-Time Dependencies with RNNs w/ Konstantin Rusch - #484
What the Human Brain Can Tell Us About NLP Models with Allyson Ettinger - #483
Probabilistic Numeric CNNs with Roberto Bondesan - #482
Building a Unified NLP Framework at LinkedIn with Huiji Gao - #481
Dask + Data Science Careers with Jacqueline Nolis - #480
Machine Learning for Equitable Healthcare Outcomes with Irene Chen - #479
AI Storytelling Systems with Mark Riedl - #478
Creating Robust Language Representations with Jamie Macbeth - #477
Reinforcement Learning for Industrial AI with Pieter Abbeel - #476
AutoML for Natural Language Processing with Abhishek Thakur - #475
Inclusive Design for Seeing AI with Saqib Shaikh - #474
Theory of Computation with Jelani Nelson - #473
Human-Centered ML for High-Risk Behaviors with Stevie Chancellor - #472
Operationalizing AI at Dataiku with Conor Jensen - #471
ML Lifecycle Management at Algorithmia with Diego Oppenheimer - #470
End to End ML at Cloudera with Santiago Giraldo - #469 [TWIMLcon Sponsor Series]
ML Platforms for Global Scale at Prosus with Paul van der Boor - #468 [TWIMLcon Sponsor Series]
Can Language Models Be Too Big? 🦜 with Emily Bender and Margaret Mitchell - #467
Applying RL to Real-World Robotics with Abhishek Gupta - #466
Accelerating Innovation with AI at Scale with David Carmona - #465
Complexity and Intelligence with Melanie Mitchell - #464
Robust Visual Reasoning with Adriana Kovashka - #463
Architectural and Organizational Patterns in Machine Learning with Nishan Subedi - #462
Common Sense Reasoning in NLP with Vered Shwartz - #461
How to Be Human in the Age of AI with Ayanna Howard - #460
How to Be Human in the Age of AI with Ayanna Howard - #460
Evolution and Intelligence with Penousal Machado - #459
Innovating Neural Machine Translation with Arul Menezes - #458
Building the Product Knowledge Graph at Amazon with Luna Dong - #457
Towards a Systems-Level Approach to Fair ML with Sarah M. Brown - #456
AI for Digital Health Innovation with Andrew Trister - #455
System Design for Autonomous Vehicles with Drago Anguelov - #454
Building, Adopting, and Maturing LinkedIn's Machine Learning Platform with Ya Xu - #453
Expressive Deep Learning with Magenta DDSP w/ Jesse Engel - #452
Semantic Folding for Natural Language Understanding with Francisco Weber - #451
The Future of Autonomous Systems with Gurdeep Pall - #450
AI for Ecology and Ecosystem Preservation with Bryan Carstens - #449
Off-Line, Off-Policy RL for Real-World Decision Making at Facebook - #448
A Future of Work for the Invisible Workers in A.I. with Saiph Savage - #447
Trends in Graph Machine Learning with Michael Bronstein - #446
Trends in Natural Language Processing with Sameer Singh - #445
Trends in Computer Vision with Pavan Turaga - #444
Trends in Reinforcement Learning with Pablo Samuel Castro - #443
MOReL: Model-Based Offline Reinforcement Learning with Aravind Rajeswaran - #442
Machine Learning as a Software Engineering Enterprise with Charles Isbell - #441
Natural Graph Networks with Taco Cohen - #440
Productionizing Time-Series Workloads at Siemens Energy with Edgar Bahilo Rodriguez - #439
ML Feature Store at Intuit with Srivathsan Canchi - #438
re:Invent Roundup 2020 with Swami Sivasubramanian - #437
Predictive Disease Risk Modeling at 23andMe with Subarna Sinha - #436
Scaling Video AI at RTL with Daan Odijk - #435
Benchmarking ML with MLCommons w/ Peter Mattson - #434
Deep Learning for NLP: From the Trenches with Charlene Chambliss - #433
Feature Stores for Accelerating AI Development - #432
An Exploration of Coded Bias with Shalini Kantayya, Deb Raji and Meredith Broussard - #431
Common Sense as an Algorithmic Framework with Dileep George - #430
Scaling Enterprise ML in 2020: Still Hard! with Sushil Thomas - #429
Enabling Clinical Automation: From Research to Deployment with Devin Singh - #428
Pixels to Concepts with Backpropagation w/ Roland Memisevic - #427
Fighting Global Health Disparities with AI w/ Jon Wang - #426
Accessibility and Computer Vision - #425
NLP for Equity Investing with Frank Zhao - #424
The Future of Education and AI with Salman Khan - #423
Why AI Innovation and Social Impact Go Hand in Hand with Milind Tambe - #422
What's Next for Fast.ai? w/ Jeremy Howard - #421
Feature Stores for MLOps with Mike del Balso - #420
Exploring Causality and Community with Suzana Ilić - #419
Decolonizing AI with Shakir Mohamed - #418
Spatial Analysis for Real-Time Video Processing with Adina Trufinescu
How Deep Learning has Revolutionized OCR with Cha Zhang - #416
Machine Learning for Food Delivery at Global Scale - #415
Open Source at Qualcomm AI Research with Jeff Gehlhaar and Zahra Koochak - #414
Visualizing Climate Impact with GANs w/ Sasha Luccioni - #413
ML-Powered Language Learning at Duolingo with Burr Settles - #412
Bridging The Gap Between Machine Learning and the Life Sciences with Artur Yakimovich - #411
Understanding Cultural Style Trends with Computer Vision w/ Kavita Bala - #410
That's a VIBE: ML for Human Pose and Shape Estimation with Nikos Athanasiou, Muhammed Kocabas, Michael Black - #409
3D Deep Learning with PyTorch 3D w/ Georgia Gkioxari - #408
What are the Implications of Algorithmic Thinking? with Michael I. Jordan - #407
Beyond Accuracy: Behavioral Testing of NLP Models with Sameer Singh - #406
How Machine Learning Powers On-Demand Logistics at Doordash with Gary Ren - #405
Machine Learning as a Software Engineering Discipline with Dillon Erb - #404
AI and the Responsible Data Economy with Dawn Song - #403
Relational, Object-Centric Agents for Completing Simulated Household Tasks with Wilka Carvalho - #402
Model Explainability Forum - #401
What NLP Tells Us About COVID-19 and Mental Health with Johannes Eichstaedt - #400
Human-AI Collaboration for Creativity with Devi Parikh - #399
Neural Augmentation for Wireless Communication with Max Welling - #398
Quantum Machine Learning: The Next Frontier? with Iordanis Kerenidis - #397
ML and Epidemiology with Elaine Nsoesie - #396
Language (Technology) Is Power: Exploring the Inherent Complexity of NLP Systems with Hal Daumé III - #395
Graph ML Research at Twitter with Michael Bronstein - #394
Panel: The Great ML Language (Un)Debate! - #393
What the Data Tells Us About COVID-19 with Eric Topol - #392
The Case for Hardware-ML Model Co-design with Diana Marculescu - #391
Computer Vision for Remote AR with Flora Tasse - #390
Deep Learning for Automatic Basketball Video Production with Julian Quiroga - #389
How External Auditing is Changing the Facial Recognition Landscape with Deb Raji - #388
AI for High-Stakes Decision Making with Hima Lakkaraju - #387
Invariance, Geometry and Deep Neural Networks with Pavan Turaga - #386
Channel Gating for Cheaper and More Accurate Neural Nets with Babak Ehteshami Bejnordi - #385
Machine Learning Commerce at Square with Marsal Gavalda - #384
Cell Exploration with ML at the Allen Institute w/ Jianxu Chen - #383
Neural Arithmetic Units & Experiences as an Independent ML Researcher with Andreas Madsen - #382
2020: A Critical Inflection Point for Responsible AI with Rumman Chowdhury - #381
Panel: Advancing Your Data Science Career During the Pandemic - #380
On George Floyd, Empathy, and the Road Ahead
Engineering a Less Artificial Intelligence with Andreas Tolias - #379
Rethinking Model Size: Train Large, Then Compress with Joseph Gonzalez - #378
The Physics of Data with Alpha Lee - #377
Is Linguistics Missing from NLP Research? w/ Emily M. Bender - #376 🦜
Disrupting DeepFakes: Adversarial Attacks Against Conditional Image Translation Networks with Nataniel Ruiz - #375
Understanding the COVID-19 Data Quality Problem with Sherri Rose - #374
The Whys and Hows of Managing Machine Learning Artifacts with Lukas Biewald - #373
Language Modeling and Protein Generation at Salesforce with Richard Socher - #372
AI Research at JPMorgan Chase with Manuela Veloso - #371
Panel: Responsible Data Science in the Fight Against COVID-19 - #370
Adversarial Examples Are Not Bugs, They Are Features with Aleksander Madry - #369
AI for Social Good: Why "Good" isn't Enough with Ben Green - #368
The Evolution of Evolutionary AI with Risto Miikkulainen - #367
Neural Architecture Search and Google’s New AutoML Zero with Quoc Le - #366
Automating Electronic Circuit Design with Deep RL w/ Karim Beguir - #365
Neural Ordinary Differential Equations with David Duvenaud - #364
The Measure and Mismeasure of Fairness with Sharad Goel - #363
Simulating the Future of Traffic with RL w/ Cathy Wu - #362
Consciousness and COVID-19 with Yoshua Bengio - #361
Geometry-Aware Neural Rendering with Josh Tobin - #360
The Third Wave of Robotic Learning with Ken Goldberg - #359
Learning Visiolinguistic Representations with ViLBERT w/ Stefan Lee - #358
Upside-Down Reinforcement Learning with Jürgen Schmidhuber - #357
SLIDE: Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning with Beidi Chen - #356
Advancements in Machine Learning with Sergey Levine - #355
Secrets of a Kaggle Grandmaster with David Odaibo - #354
NLP for Mapping Physics Research with Matteo Chinazzi - #353
Metric Elicitation and Robust Distributed Learning with Sanmi Koyejo - #352
High-Dimensional Robust Statistics with Ilias Diakonikolas - #351
How AI Predicted the Coronavirus Outbreak with Kamran Khan - #350
Turning Ideas into ML Powered Products with Emmanuel Ameisen - #349
Algorithmic Injustices and Relational Ethics with Abeba Birhane - #348
AI for Agriculture and Global Food Security with Nemo Semret - #347
Practical Differential Privacy at LinkedIn with Ryan Rogers - #346
Networking Optimizations for Multi-Node Deep Learning on Kubernetes with Erez Cohen - #345
Managing Research Needs at the University of Michigan using Kubernetes w/ Bob Killen - #344
Scalable and Maintainable Workflows at Lyft with Flyte w/ Haytham AbuelFutuh and Ketan Umare - #343
Causality 101 with Robert Osazuwa Ness - #342
PaccMann^RL: Designing Anticancer Drugs with Reinforcement Learning w/ Jannis Born - #341
Social Intelligence with Blaise Aguera y Arcas - #340
Music & AI Plus a Geometric Perspective on Reinforcement Learning with Pablo Samuel Castro - #339
Trends in Computer Vision with Amir Zamir - #338
Trends in Natural Language Processing with Nasrin Mostafazadeh - #337
Trends in Fairness and AI Ethics with Timnit Gebru - #336
Trends in Reinforcement Learning with Chelsea Finn - #335
Trends in Machine Learning & Deep Learning with Zack Lipton - #334
FaciesNet & Machine Learning Applications in Energy with Mohamed Sidahmed - #333
Machine Learning: A New Approach to Drug Discovery with Daphne Koller - #332
Sensory Prediction Error Signals in the Neocortex with Blake Richards - #331
How to Know with Celeste Kidd - #330
Using Deep Learning to Predict Wildfires with Feng Yan - #329
Advancing Machine Learning at Capital One with Dave Castillo - #328
Helping Fish Farmers Feed the World with Deep Learning w/ Bryton Shang - #327
Metaflow, a Human-Centric Framework for Data Science with Ville Tuulos - #326
Single Headed Attention RNN: Stop Thinking With Your Head with Stephen Merity - #325
Automated Model Tuning with SigOpt - #324
Automated Machine Learning with Erez Barak - #323
Responsible AI in Practice with Sarah Bird - #322
Enterprise Readiness, MLOps and Lifecycle Management with Jordan Edwards - #321
DevOps for ML with Dotscience - #320
Building an Autonomous Knowledge Graph with Mike Tung - #319
The Next Generation of Self-Driving Engineers with Aaron Ma - Talk #318
Spiking Neural Networks: A Primer with Terrence Sejnowski - #317
Bridging the Patient-Physician Gap with ML and Expert Systems w/ Xavier Amatriain - #316
What Does it Mean for a Machine to "Understand"? with Thomas Dietterich - #315
Scaling TensorFlow at LinkedIn with Jonathan Hung - #314
Machine Learning at GitHub with Omoju Miller - #313
Using AI to Diagnose and Treat Neurological Disorders with Archana Venkataraman - #312
Deep Learning for Earthquake Aftershock Patterns with Phoebe DeVries & Brendan Meade - #311
Live from TWIMLcon! Operationalizing Responsible AI - #310
Live from TWIMLcon! Scaling ML in the Traditional Enterprise - #309
Live from TWIMLcon! Culture & Organization for Effective ML at Scale (Panel) - #308
Live from TWIMLcon! Use-Case Driven ML Platforms with Franziska Bell - #307
Live from TWIMLcon! Operationalizing ML at Scale with Hussein Mehanna - #306
Live from TWIMLcon! Encoding Company Culture in Applied AI Systems - #305
Live from TWIMLcon! Overcoming the Barriers to Deep Learning in Production with Andrew Ng - #304
The Future of Mixed-Autonomy Traffic with Alexandre Bayen - #303
Deep Reinforcement Learning for Logistics at Instadeep with Karim Beguir - #302
Deep Learning with Structured Data w/ Mark Ryan - #301
Time Series Clustering for Monitoring Fueling Infrastructure Performance with Kalai Ramea - #300
Swarm AI for Event Outcome Prediction with Gregg Willcox - TWIML Talk #299
Rebooting AI: What's Missing, What's Next with Gary Marcus - TWIML Talk #298
DeepQB: Deep Learning to Quantify Quarterback Decision-Making with Brian Burke - TWIML Talk #297
Measuring Performance Under Pressure Using ML with Lotte Bransen - TWIML Talk #296
Managing Deep Learning Experiments with Lukas Biewald - TWIML Talk #295
Re-Architecting Data Science at iRobot with Angela Bassa - TWIML Talk #294
Disentangled Representations & Google Research Football with Olivier Bachem - TWIML Talk #293
Neural Network Quantization and Compression with Tijmen Blankevoort - TWIML Talk #292
Identifying New Materials with NLP with Anubhav Jain - TWIML Talk #291
The Problem with Black Boxes with Cynthia Rudin - TWIML Talk #290
Human-Robot Interaction and Empathy with Kate Darling - TWIML Talk #289
Automated ML for RNA Design with Danny Stoll - TWIML Talk #288
Developing a brain atlas using deep learning with Theofanis Karayannis - TWIML Talk #287
Environmental Impact of Large-Scale NLP Model Training with Emma Strubell - TWIML Talk #286
“Fairwashing” and the Folly of ML Solutionism with Zachary Lipton - TWIML Talk #285
Retinal Image Generation for Disease Discovery with Stephen Odaibo - TWIML Talk #284
Real world model explainability with Rayid Ghani - TWiML Talk #283
Inspiring New Machine Learning Platforms w/ Bioelectric Computation with Michael Levin - TWiML Talk #282
Simulation and Synthetic Data for Computer Vision with Batu Arisoy - TWiML Talk #281
Spiking Neural Nets and ML as a Systems Challenge with Jeff Gehlhaar - TWIML Talk #280
Transforming Oil & Gas with AI with Adi Bhashyam and Daniel Jeavons - TWIML Talk #279
Fast Radio Burst Pulse Detection with Gerry Zhang - TWIML Talk #278
Tracking CO2 Emissions with Machine Learning with Laurence Watson - TWIML Talk #277
Topic Modeling for Customer Insights at USAA with William Fehlman - TWIML Talk #276
Phronesis of AI in Radiology with Judy Gichoya - TWIML Talk #275
The Ethics of AI-Enabled Surveillance with Karen Levy - TWIML Talk #274
Supporting Rapid Model Development at Two Sigma with Matt Adereth & Scott Clark - TWIML Talk #273
Scaling Model Training with Kubernetes at Stripe with Kelley Rivoire - TWIML Talk #272
Productizing ML at Scale at Twitter with Yi Zhuang - TWIML Talk #271
Snorkel: A System for Fast Training Data Creation with Alex Ratner - TWiML Talk #270
Advancing Autonomous Vehicle Development Using Distributed Deep Learning with Adrien Gaidon - TWiML Talk #269
Are We Being Honest About How Difficult AI Really Is? w/ David Ferrucci - TWiML Talk #268
Gauge Equivariant CNNs, Generative Models, and the Future of AI with Max Welling - TWiML Talk #267
Can We Trust Scientific Discoveries Made Using Machine Learning? with Genevera Allen - TWiML Talk #266
Creative Adversarial Networks for Art Generation with Ahmed Elgammal - TWiML Talk #265
Diagnostic Visualization for Machine Learning with YellowBrick w/ Rebecca Bilbro - TWiML Talk #264
Librosa: Audio and Music Processing in Python with Brian McFee - TWiML Talk #263
Practical Natural Language Processing with spaCy and Prodigy w/ Ines Montani - TWiML Talk #262
Scaling Jupyter Notebooks with Luciano Resende - TWiML Talk #261
Fighting Fake News and Deep Fakes with Machine Learning w/ Delip Rao - TWiML Talk #260
Maintaining Human Control of Artificial Intelligence with Joanna Bryson - TWiML Talk #259
Intelligent Infrastructure Management with Pankaj Goyal & Rochna Dhand - TWiML Talk #258
Organizing for Successful Data Science at Stitch Fix with Eric Colson - TWiML Talk #257
End-to-End Data Science to Drive Business Decisions at LinkedIn with Burcu Baran - TWiML Talk #256
Learning with Limited Labeled Data with Shioulin Sam - TWiML Talk #255
cuDF, cuML & RAPIDS: GPU Accelerated Data Science with Paul Mahler - TWiML Talk #254
Edge AI for Smart Manufacturing with Trista Chen - TWiML Talk #253
Machine Learning for Security and Security for Machine Learning with Nicole Nichols - TWiML Talk #252
Domain Adaptation and Generative Models for Single Cell Genomics with Gerald Quon - TWiML Talk #251
Mapping Dark Matter with Bayesian Neural Networks w/ Yashar Hezaveh - TWiML Talk #250
Deep Learning for Population Genetic Inference with Dan Schrider - TWiML Talk #249
Empathy in AI with Rob Walker - TWiML Talk #248
Benchmarking Custom Computer Vision Services at Urban Outfitters with Tom Szumowski - TWiML Talk #247
Pragmatic Quantum Machine Learning with Peter Wittek - TWiML Talk #245
*Bonus Episode* A Quantum Machine Learning Algorithm Takedown with Ewin Tang - TWiML Talk #246
Supporting TensorFlow at Airbnb with Alfredo Luque - TWiML Talk #244
Mining the Vatican Secret Archives with TensorFlow w/ Elena Nieddu - TWiML Talk #243
Exploring TensorFlow 2.0 with Paige Bailey - TWiML Talk #242
Privacy-Preserving Decentralized Data Science with Andrew Trask - TWiML Talk #241
The Unreasonable Effectiveness of the Forget Gate with Jos Van Der Westhuizen - TWiML Talk #240
Building a Recommendation Agent for The North Face with Andrew Guldman - TWiML Talk #239
Active Learning for Materials Design with Kevin Tran - TWiML Talk #238
Deep Learning in Optics with Aydogan Ozcan - TWiML Talk #237
Scaling Machine Learning on Graphs at LinkedIn with Hema Raghavan and Scott Meyer - TWiML Talk #236
Safer Exploration in Deep Reinforcement Learning using Action Priors with Sicelukwanda Zwane - TWiML Talk #235
Dissecting the Controversy around OpenAI's New Language Model - TWiML Talk #234
Human-Centered Design with Mira Lane - TWiML Talk #233
Fairness in Machine Learning with Hanna Wallach - TWiML Talk #232
AI for Healthcare with Peter Lee - TWiML Talk #231
An Optimized Recurrent Unit for Ultra-Low Power Acoustic Event Detection with Justice Amoh Jr. - TWiML Talk #230
Pathologies of Neural Models and Interpretability with Alvin Grissom II - TWiML Talk #229
AI for Earth with Lucas Joppa - TWiML Talk #228
AI for Accessibility with Wendy Chisholm - TWiML Talk #227
AI for Humanitarian Action with Justin Spelhaug - TWiML Talk #226
Teaching AI to Preschoolers with Randi Williams - TWiML Talk #225
Holistic Optimization of the LinkedIn News Feed - TWiML Talk #224
AI at the Edge at Qualcomm with Gary Brotman - TWiML Talk #223
AI Innovation at CES - TWiML Talk #222
Self-Tuning Services via Real-Time Machine Learning with Vladimir Bychkovsky - TWiML Talk #221
Building a Recommender System from Scratch at 20th Century Fox with JJ Espinoza - TWiML Talk #220
Legal and Policy Implications of Model Interpretability with Solon Barocas - TWiML Talk #219
Trends in Computer Vision with Siddha Ganju - TWiML Talk #218
Trends in Reinforcement Learning with Simon Osindero - TWiML Talk #217
Trends in Natural Language Processing with Sebastian Ruder - TWiML Talk #216
Trends in Machine Learning with Anima Anandkumar - TWiML Talk #215
Trends in Deep Learning with Jeremy Howard - TWiML Talk #214
Training Large-Scale Deep Nets with RL with Nando de Freitas - TWiML Talk #213
Making Algorithms Trustworthy with David Spiegelhalter - TWiML Talk #212
Designing Computer Systems for Software with Kunle Olukotun - TWiML Talk #211
Operationalizing Ethical AI with Kathryn Hume - TWiML Talk #210
Approaches to Fairness in Machine Learning with Richard Zemel - TWiML Talk #209
Trust and AI with Parinaz Sobhani - TWiML Talk #208
Unbiased Learning from Biased User Feedback with Thorsten Joachims - TWiML Talk #207
Language Parsing and Character Mining with Jinho Choi - TWiML Talk #206
re:Invent Roundup Roundtable 2018 with Dave McCrory and Val Bercovici - TWiML Talk #205
Knowledge Graphs and Expert Augmentation with Marisa Boston - TWiML Talk #204
ML/DL for Non-Stationary Time Series Analysis in Financial Markets and Beyond with Stuart Reid - TWiML Talk #203
Industrializing Machine Learning at Shell with Daniel Jeavons - TWiML Talk #202
Resurrecting a Recommendations Platform at Comcast with Leemay Nassery - TWiML Talk #201
Productive Machine Learning at LinkedIn with Bee-Chung Chen - TWiML Talk #200
Scaling Deep Learning on Kubernetes at OpenAI with Christopher Berner - TWiML Talk #199
Bighead: Airbnb's Machine Learning Platform with Atul Kale - TWiML Talk #198
Facebook's FBLearner Platform with Aditya Kalro - TWiML Talk #197
Geometric Statistics in Machine Learning w/ geomstats with Nina Miolane - TWiML Talk #196
Milestones in Neural Natural Language Processing with Sebastian Ruder - TWiML Talk #195
Natural Language Processing at StockTwits with Garrett Hoffman - TWiML Talk #194
Advanced Reinforcement Learning & Data Science for Social Impact with Vukosi Marivate - TWiML Talk #193
AI Ethics, Strategic Decisioning and Game Theory with Osonde Osoba - TWiML Talk #192
Acoustic Word Embeddings for Low Resource Speech Processing with Herman Kamper - TWiML Talk #191
Learning Representations for Visual Search with Naila Murray - TWiML Talk #190
Evaluating Model Explainability Methods with Sara Hooker - TWiML Talk #189
Graph Analytic Systems with Zachary Hanif - TWiML Talk #188
Diversification in Recommender Systems with Ahsan Ashraf - TWiML Talk #187
The Fastai v1 Deep Learning Framework with Jeremy Howard - TWiML Talk #186
Federated ML for Edge Applications with Justin Norman - TWiML Talk #185
Exploring Dark Energy & Star Formation w/ ML with Viviana Acquaviva - TWiML Talk #184
Document Vectors in the Wild with James Dreiss - TWiML Talk #183
Applied Machine Learning for Publishers with Naveed Ahmad - TWiML Talk #182
Anticipating Superintelligence with Nick Bostrom - TWiML Talk #181
Can We Train an AI to Understand Body Language? with Hanbyul Joo - TWIML Talk #180
Biological Particle Identification and Tracking with Jay Newby - TWiML Talk #179
AI for Content Creation with Debajyoti Ray - TWiML Talk #178
Deep Reinforcement Learning Primer and Research Frontiers with Kamyar Azizzadenesheli - TWiML Talk #177
OpenAI Five with Christy Dennison - TWiML Talk #176
How ML Keeps Shelves Stocked at Home Depot with Pat Woowong - TWiML Talk #175
Contextual Modeling for Language and Vision with Nasrin Mostafazadeh - TWiML Talk #174
ML for Understanding Satellite Imagery at Scale with Kyle Story - TWiML Talk #173
Generating Ground-Level Images From Overhead Imagery Using GANs with Yi Zhu - TWiML Talk #172
Vision Systems for Planetary Landers and Drones with Larry Matthies - TWiML Talk #171
Learning Semantically Meaningful and Actionable Representations with Ashutosh Saxena - TWiML Talk #170
AI Innovation for Clinical Decision Support with Joe Connor - TWiML Talk #169
Dynamic Visual Localization and Segmentation with Laura Leal-Taixé -TWiML Talk #168
Conversational AI for the Intelligent Workplace with Gillian McCann - TWiML Talk #167
Computer Vision and Intelligent Agents for Wildlife Conservation with Jason Holmberg - TWiML Talk #166
Pragmatic Deep Learning for Medical Imagery with Prashant Warier - TWiML Talk #165
Taskonomy: Disentangling Transfer Learning for Perception (CVPR 2018 Best Paper Winner) with Amir Zamir - TWiML Talk #164
Predicting Metabolic Pathway Dynamics w/ Machine Learning with Zak Costello - TWiML Talk #163
Machine Learning to Discover Physics and Engineering Principles with Nathan Kutz - TWiML Talk #162
Automating Complex Internal Processes w/ AI with Alexander Chukovski - TWiML Talk #161
Designing Better Sequence Models with RNNs with Adji Bousso Dieng - TWiML Talk #160
Love Love: AI and ML in Tennis with Stephanie Kovalchik - TWiML Talk #159
Growth Hacking Sports w/ Machine Learning with Noah Gift - TWiML Talk #158
Fine-Grained Player Prediction in Sports with Jennifer Hobbs - TWiML Talk #157
Targeted Ticket Sales Using Azure ML with the Trail Blazers w/ Mike Schumacher & Chenhui Hu - TWiML Talk #156
AI for Athlete Optimization with Sinead Flahive - TWiML Talk #155
Omni-Channel Customer Experiences with Vince Jeffs - TWiML Talk #154
Workforce Intelligence for Automation & Productivity with Michael Kempe - TWiML Talk #153
Data Platforms for Decision Automation at Scotiabank with Jim Saleh - TWiML Talk #152
Towards the Self-Driving Enterprise with Kirk Borne - TWiML Talk #151
How a Global Energy Company Adopts ML & AI with Nicholas Osborn - TWiML Talk #150
Problem Formulation for Machine Learning with Romer Rosales - TWiML Talk #149
AI for Materials Discovery with Greg Mulholland - TWiML Talk #148
Data Innovation & AI at Capital One with Adam Wenchel - TWiML Talk #147
Deep Gradient Compression for Distributed Training with Song Han - TWiML Talk #146
Masked Autoregressive Flow for Density Estimation with George Papamakarios - TWiML Talk #145
Training Data for Computer Vision at Figure Eight with Qazaleh Mirsharif - TWiML Talk #144
Agile Data Science with Sarah Aerni - TWiML Talk #143
Tensor Operations for Machine Learning with Anima Anandkumar - TWiML Talk #142
Deep Learning for Live-Cell Imaging with David Van Valen - TWiML Talk #141
Checking in with the Master w/ Garry Kasparov - TWiML Talk #140
Exploring AI-Generated Music with Taryn Southern - TWiML Talk #139
Practical Deep Learning with Rachel Thomas - TWiML Talk #138
Kinds of Intelligence w/ Jose Hernandez-Orallo - TWiML Talk #137
Taming arXiv with Natural Language Processing w/ John Bohannon - TWiML Talk #136
Epsilon Software for Private Machine Learning with Chang Liu - TWiML Talk #135
Scalable Differential Privacy for Deep Learning with Nicolas Papernot - TWiML Talk #134
Differential Privacy at Bluecore with Zahi Karam - TWiML Talk #133
Differential Privacy Theory & Practice with Aaron Roth - TWiML Talk #132
Optimal Transport and Machine Learning with Marco Cuturi - TWiML Talk #131
Collecting and Annotating Data for AI with Kiran Vajapey - TWiML Talk #130
Autonomous Aerial Guidance, Navigation and Control Systems with Christopher Lum - TWiML Talk #129
Infrastructure for Autonomous Vehicles with Missy Cummings - TWiML Talk #128
Hyper-Personalizing the Customer Experience w/ AI with Rob Walker - TWiML Talk #127
Information Extraction from Natural Document Formats with David Rosenberg - TWiML Talk #126
Human-in-the-Loop AI for Emergency Response & More w/ Robert Munro - TWiML Talk #125
Systems and Software for Machine Learning at Scale with Jeff Dean - TWiML Talk #124
Semantic Segmentation of 3D Point Clouds with Lyne Tchapmi - TWiML Talk #123
Predicting Cardiovascular Risk Factors from Eye Images with Ryan Poplin - TWiML Talk #122
Reproducibility and the Philosophy of Data with Clare Gollnick - TWiML Talk #121
Surveying the Connected Car Landscape with GK Senthil - TWiML Talk #120
Adversarial Attacks Against Reinforcement Learning Agents with Ian Goodfellow & Sandy Huang
Towards Abstract Robotic Understanding with Raja Chatila - TWiML Talk #118
Discovering Exoplanets w/ Deep Learning with Chris Shallue - TWiML Talk #117
Learning Active Learning with Ksenia Konyushkova - TWiML Talk #116
Machine Learning Platforms at Uber with Mike Del Balso - TWiML Talk #115
Inverse Programming for Deeper AI with Zenna Tavares - TWiML Talk #114
Statistical Relational Artificial Intelligence with Sriraam Natarajan - TWiML Talk #113
Classical Machine Learning for Infant Medical Diagnosis with Charles Onu - TWiML Talk #112
Learning "Common Sense" and Physical Concepts with Roland Memisevic - TWiML Talk #111
Trust in Human-Robot/AI Interactions with Ayanna Howard - TWiML Talk #110
Data Science for Poaching Prevention and Disease Treatment with Nyalleng Moorosi - TWiML Talk #109
Security and Safety in AI: Adversarial Examples, Bias and Trust w/ Moustapha Cissé - TWiML Talk #108
Peering into the Home w/ Aerial.ai's Wifi Motion Analytics - TWiML Talk #107
Physiology-Based Models for Fitness and Training w/ Firstbeat with Ilkka Korhonen - TWiML Talk #106
Machine Learning for Signal Processing Applications w/ Stuart Feffer & Brady Tsai - TWiML Talk #105
Personalizing the Ferrari Challenge Experience w/ Intel AI - TWiML Talk #104
Deep Learning for 3D Sensors and Cameras in Lighthouse with Alex Teichman - TWiML Talk #103
Computer Vision for Cozmo, the Cutest Toy Robot Everrrrr! with Andrew Stein - TWiML Talk #102
Expectation Maximization, Gaussian Mixtures & Belief Propagation, OH MY! w/ Inmar Givoni - Talk #101
A Linear-Time Kernel Goodness-of-Fit Test - NIPS Best Paper '17 - TWiML Talk #100
Solving Imperfect-Information Games with Tuomas Sandholm - NIPS ’17 Best Paper - TWiML Talk #99
Separating Vocals in Recorded Music at Spotify with Eric Humphrey - TWiML Talk #98
Accelerating Deep Learning with Mixed Precision Arithmetic with Greg Diamos - TWiML Talk #97
Composing Graphical Models With Neural Networks with David Duvenaud - TWiML Talk #96
Embedded Deep Learning at Deep Vision with Siddha Ganju - TWiML Talk #95
Neuroevolution: Evolving Novel Neural Network Architectures with Kenneth Stanley - TWiML Talk #94
A Quantum Computing Primer and Implications for AI with Davide Venturelli - TWiML Talk #93
Learning State Representations with Yael Niv - TWiML Talk #92
Philosophy of Intelligence with Matthew Crosby - TWiML Talk #91
Geometric Deep Learning with Joan Bruna & Michael Bronstein - TWiML Talk #90
AI at the NASA Frontier Development Lab with Sara Jennings, Timothy Seabrook and Andres Rodriguez
Using Deep Learning and Google Street View to Estimate Demographics with Timnit Gebru
Integrative Learning for Robotic Systems with Aaron Ames - TWiML Talk #87
Visual Recognition in the Cloud for Law Enforcement with Chris Adzima - TWiML Talk #86
Embodied Visual Learning with Kristen Grauman - TWiML Talk #85
Real-Time Machine Learning in the Database with Nikita Shamgunov - TWiML Talk #84
re:Invent Roundup Roundtable - TWiML Talk # 83
Driving Customer Loyalty with Predictive and Conversational AI with Sherif Mityas - TWiML Talk #82
Innovation Factories for AI in FInancial Services with Thierry Derungs - TWiML Talk #81
Block-Sparse Kernels for Deep Neural Networks with Durk Kingma - TWiML Talk #80
AI for Customer Service and Marketing at Aeromexico with Brian Gross - TWiML Talk #79
Scaling AI for the Enterprise with Mazin Gilbert - TWiML Talk #78
Scalable Distributed Deep Learning with Hillery Hunter - TWiML Talk #77
Robotics at OpenAI with Jonas Schneider - TWiML Talk #76
AI Robustness and Safety with Dario Amodei - TWiML Talk #75
Towards Artificial General Intelligence with Greg Brockman - TWiML Talk #74
Explaining Black Box Predictions with Sam Ritchie - TWiML Talk #73
Experimental Creative Writing with the Vectorized Word - Allison Parish - TWIML Talk #72
The Biological Path Towards Strong AI - Matthew Taylor - TWiML Talk #71
Pytorch: Fast Differentiable Dynamic Graphs in Python with Soumith Chintala - TWiML Talk #70
Accessible Machine Learning for the Enterprise Developer with Ryan Sevey & Jason Montgomery
Bridging the Gap Between Academic and Industry Careers with Ross Fadely - TWiML Talk #68
The Limitations of Human-in-the-Loop AI with Dennis Mortensen - TWiML Talk #67
Nexus Lab Cohort 2 - Second Mind - TWiML Talk #66
Nexus Lab Cohort 2 - Bite.ai - TWiML Talk #65
Nexus Lab Cohort 2 - Bowtie - TWiML Talk #64
AI Nexus Lab Cohort 2 - Mt. Cleverest - TWiML Talk #63
Learning to Learn, and other Opportunities in Machine Learning with Graham Taylor - TWiML Talk #62
Building Conversational Application for Financial Services with Kenneth Conroy - TWiML Talk #61
Fighting Fraud with Machine Learning at Shopify with Solmaz Shahalizadeh - TWiML Talk #60
Modeling Human Drivers for Autonomous Vehicles with Katie Driggs-Campbell - TWiML Talk #59
Perception Models for Self-Driving Cars with Jianxiong Xiao - TWiML Talk #58
Training Data for Autonomous Vehicles - Daryn Nakhuda - TWiML Talk #57
Human Factors in Machine Intelligence with James Guszcza - TWiML Talk #56
Intel Nervana Devcloud with Naveen Rao & Scott Apeland - TWiML Talk #51
ML Use Cases at Think Big Analytics with Mo Patel and Laura Frølich - TWiML Talk #54
AI-Powered Conversational Interfaces with Paul Tepper - TWiML Talk #52
Ray: A Distributed Computing Platform for Reinforcement Learning with Ion Stoica - TWiML Talk #55
Topological Data Analysis with Gunnar Carlsson - TWiML Talk #53
Bayesian Optimization for Hyperparameter Tuning with Scott Clark - TWiML Talk #50
Symbolic and Sub-Symbolic Natural Language Processing with Jonathan Mugan - TWiML Talk #49
Word2Vec & Friends with Bruno Gonçalves - TWiML Talk #48
Evolutionary Algorithms in Machine Learning with Risto Miikkulainen - TWiML Talk #47
Agile Machine Learning with Jennifer Prendki - TWiML Talk #46
LSTMs, Plus a Deep Learning History Lesson with Jürgen Schmidhuber - TWiML Talk #44
Machine Teaching for Better Machine Learning with Mark Hammond - TWiML Talk #43
Marrying Physics-Based and Data-Driven ML Models with Josh Bloom - TWiML Talk #42
Cognitive Biases in Data Science with Drew Conway - TWiML Talk #39
Data Pipelines at Zymergen with Airflow with Erin Shellman - TWiML Talk #41
Web Scale Engineering for Machine Learning with Sharath Rao - TWiML Talk #40
Deep Learning for Warehouse Operations with Calvin Seward - TWiML Talk #38
Deep Robotic Learning with Sergey Levine - TWiML Talk #37
Smart Buildings & IoT with Yodit Stanton - TWiML Talk #36
The Power Of Probabilistic Programming with Ben Vigoda - TWiML Talk #33
Intel Nervana Update + Productizing AI Research with Naveen Rao And Hanlin Tang - TWiML Talk #31
Enhancing Customer Experiences With Emotional AI with Rana El Kaliouby - TWiML Talk #35
Expressive AI - Generated Music With Google's Performance RNN - Doug Eck - TWiML Talk #32
Video Object Detection At Scale with Reza Zadeh - TWiML Talk #34
Natural Language Understanding for Amazon Alexa with Zornitsa Kozareva - TWiML Talk #30
Robotic Perception and Control with Chelsea Finn - TWiML Talk #29
Reinforcement Learning Deep Dive with Pieter Abbeel - TWiML Talk #28
Intelligent Autonomous Robots with Ilia Baranov - TWiML Talk #27
Global AI Trends with Ben Lorica - TWiML Talk #26
Offensive vs Defensive Data Science with Deep Varma - TWiML Talk #25
Reinforcement Learning: The Next Frontier of Gaming with Danny Lange - TWiML Talk #24
Integrating Psycholinguistics into AI with Dominique Simmons - TWiML Talk #23
Deep Neural Nets for Visual Recognition with Matt Zeiler - TWiML Talk #22
Engineering the Future of AI with Ruchir Puri - TWiML Talk #21
Selling AI to the Enterprise with Kathryn Hume - TWiML Talk #20
From Particle Physics to Audio AI with Scott Stephenson - TWiML Talk #19
(5/5) AlphaVertex - Creating a Worldwide Financial Knowledge Graph - TWiML Talk #18
(4/5) Behold.ai - Increasing Efficiency of Healthcare Insurance Billing with NLP - TWiML Talk #18
(3/5) Cambrian Intelligence - Using AI to Simplify the Programming of Robots - TWiML Talk #18
(2/5) Klustera - Location-Based Intelligence for Smarter Marketing - TWiML Talk #18
(1/5) HelloVera - AI-Powered Customer Support - TWiML Talk #18
Interactive Machine Learning Systems with Alekh Agarwal - TWiML Talk #17
Machine Learning in Cybersecurity with Evan Wright - TWiML Talk #16
Domain Knowledge in Machine Learning Models for Sustainability with Stefano Ermon - TWiML Talk #15
Scaling Deep Learning: Systems Challenges & More with Shubho Sengupta — TWiML Talk #14
Understanding Deep Neural Nets with Dr. James McCaffrey - TWiML Talk #13
Brendan Frey - Reprogramming the Human Genome with AI - TWiML Talk #12
Hilary Mason - Building AI Products - TWiML Talk #11
Francisco Webber - Statistics vs Semantics for Natural Language Processing - TWiML Talk #10
Pascale Fung - Emotional AI: Teaching Computers Empathy - TWiML Talk #9
Diogo Almeida - Deep Learning: Modular in Theory, Inflexible in Practice - TWiML Talk #8
Carlos Guestrin - Explaining the Predictions of Machine Learning Models - TWiML Talk #7
Angie Hugeback - Generating Training Data for Your ML Models - TWiML Talk #6
Joshua Bloom - Machine Learning for the Stars & Productizing AI - TWiML Talk #5
Charles Isbell - Interactive AI, Plus Improving ML Education - TWiML Talk #4
Xavier Amatriain - Engineering Practical Machine Learning Systems - TWiML Talk #3
Siraj Raval - How to Build Confidence as an ML Developer - TWiML Talk #2
This Week in ML & AI – 8/12/16: Another huge machine learning acquisition + AI in the Olympics
This Week in ML & AI – 8/5/16: Apple Acquires Turi, the DARPA Hacker-Bot Challenge and More
Clare Corthell - Open Source Data Science Masters, Hybrid AI, Algorithmic Ethics - TWiML Talk #1
This Week in ML & AI - 7/22/16: ML to Optimize Datacenters, Crazy New GPU from NVIDIA, Faster RNNs
This Week in ML & AI - 7/15/16: A Wingman AI for Pokémon Go and Wide & Deep Learning at Google
This Week in ML & AI - 7/8/16: A BS Meter for AI, Retrieval Models for Chatbots & Predatory Robots
This Week in ML & AI - 7/1/16: Fatal Tesla Autopilot Crash, EU Outlawing Machine Learning & CVPR
This Week in ML & AI - 6/24/16: Dueling Neural Networks at ICML, Plus Training a Robotic Housekeeper
This Week in Machine Learning & AI - 6/17/16: Apple's New ML APIs, IBM Brings Deep Learning Thunder
This Week In Machine Learning & AI - 6/10/16: Self-Motivated AI, Plus A Kill-Switch for Rogue Bots
This Week In Machine Learning & AI - 6/3/16: Facebook's DeepText, ML & Art, Artificial Assistants
This Week In Machine Learning & AI - 5/27/16: The White House on AI & Aggressive Self-Driving Cars
This Week In Machine Learning & AI - 5/20/16: AI at Google I/O, Amazon's Deep Learning DSSTNE