The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

By Sam Charrington

Listen to a podcast, please open Podcast Republic app. Available on Google Play Store and Apple App Store.


Category: Technology

Open in Apple Podcasts


Open RSS feed


Open Website


Rate for this podcast

Subscribers: 1911
Reviews: 4
Episodes: 711

Shridhar
 Feb 29, 2024
Enjoy listening to so many smart folks. The audio volume has been consistently low, Could it be raised.?


 Dec 25, 2018

Elvis Alive
 Jul 20, 2018
Great podcast covering both business and technical aspects of ML and AI

A Podcast Republic user
 Jul 9, 2018

Description

Machine 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.

Episode Date
Mamba, Mamba-2 and Post-Transformer Architectures for Generative AI with Albert Gu - #693
Jul 17, 2024
Decoding Animal Behavior to Train Robots with EgoPet with Amir Bar - #692
Jul 09, 2024
How Microsoft Scales Testing and Safety for Generative AI with Sarah Bird - #691
Jul 01, 2024
Long Context Language Models and their Biological Applications with Eric Nguyen - #690
Jun 25, 2024
Accelerating Sustainability with AI with Andres Ravinet - #689
Jun 18, 2024
Gen AI at the Edge: Qualcomm AI Research at CVPR 2024 with Fatih Porikli - #688
Jun 10, 2024
Energy Star Ratings for AI Models with Sasha Luccioni - #687
Jun 03, 2024
Language Understanding and LLMs with Christopher Manning - #686
May 27, 2024
Chronos: Learning the Language of Time Series with Abdul Fatir Ansari - #685
May 20, 2024
Powering AI with the World's Largest Computer Chip with Joel Hestness - #684
May 13, 2024
AI for Power & Energy with Laurent Boinot - #683
May 07, 2024
Controlling Fusion Reactor Instability with Deep Reinforcement Learning with Aza Jalalvand - #682
Apr 29, 2024
GraphRAG: Knowledge Graphs for AI Applications with Kirk Marple - #681
Apr 22, 2024
Teaching Large Language Models to Reason with Reinforcement Learning with Alex Havrilla - #680
Apr 16, 2024
Localizing and Editing Knowledge in LLMs with Peter Hase - #679
Apr 08, 2024
Coercing LLMs to Do and Reveal (Almost) Anything with Jonas Geiping - #678
Apr 01, 2024
V-JEPA, AI Reasoning from a Non-Generative Architecture with Mido Assran - #677
Mar 25, 2024
Video as a Universal Interface for AI Reasoning with Sherry Yang - #676
Mar 18, 2024
Assessing the Risks of Open AI Models with Sayash Kapoor - #675
Mar 11, 2024
OLMo: Everything You Need to Train an Open Source LLM with Akshita Bhagia - #674
Mar 04, 2024
Training Data Locality and Chain-of-Thought Reasoning in LLMs with Ben Prystawski - #673
Feb 26, 2024
Reasoning Over Complex Documents with DocLLM with Armineh Nourbakhsh - #672
Feb 19, 2024
Are Emergent Behaviors in LLMs an Illusion? with Sanmi Koyejo - #671
Feb 12, 2024
AI Trends 2024: Reinforcement Learning in the Age of LLMs with Kamyar Azizzadenesheli - #670
Feb 05, 2024
Building and Deploying Real-World RAG Applications with Ram Sriharsha - #669
Jan 29, 2024
Nightshade: Data Poisoning to Fight Generative AI with Ben Zhao - #668
Jan 22, 2024
Learning Transformer Programs with Dan Friedman - #667
Jan 15, 2024
AI Trends 2024: Machine Learning & Deep Learning with Thomas Dietterich - #666
Jan 08, 2024
AI Trends 2024: Computer Vision with Naila Murray - #665
Jan 02, 2024
Are Vector DBs the Future Data Platform for AI? with Ed Anuff - #664
Dec 28, 2023
Quantizing Transformers by Helping Attention Heads Do Nothing with Markus Nagel - #663
Dec 26, 2023
Responsible AI in the Generative Era with Michael Kearns - #662
Dec 22, 2023
Edutainment for AI and AWS PartyRock with Mike Miller - #661
Dec 18, 2023
Data, Systems and ML for Visual Understanding with Cody Coleman - #660
Dec 14, 2023
Patterns and Middleware for LLM Applications with Kyle Roche - #659
Dec 11, 2023
AI Access and Inclusivity as a Technical Challenge with Prem Natarajan - #658
Dec 04, 2023
Building LLM-Based Applications with Azure OpenAI with Jay Emery - #657
Nov 28, 2023
Visual Generative AI Ecosystem Challenges with Richard Zhang - #656
Nov 20, 2023
Deploying Edge and Embedded AI Systems with Heather Gorr - #655
Nov 13, 2023
AI Sentience, Agency and Catastrophic Risk with Yoshua Bengio - #654
Nov 06, 2023
Delivering AI Systems in Highly Regulated Environments with Miriam Friedel - #653
Oct 30, 2023
Mental Models for Advanced ChatGPT Prompting with Riley Goodside - #652
Oct 23, 2023
Multilingual LLMs and the Values Divide in AI with Sara Hooker - #651
Oct 16, 2023
Scaling Multi-Modal Generative AI with Luke Zettlemoyer - #650
Oct 09, 2023
Pushing Back on AI Hype with Alex Hanna - #649
Oct 02, 2023
Personalization for Text-to-Image Generative AI with Nataniel Ruiz - #648
Sep 25, 2023
Ensuring LLM Safety for Production Applications with Shreya Rajpal - #647
Sep 18, 2023
What’s Next in LLM Reasoning? with Roland Memisevic - #646
Sep 11, 2023
Is ChatGPT Getting Worse? with James Zou - #645
Sep 04, 2023
Why Deep Networks and Brains Learn Similar Features with Sophia Sanborn - #644
Aug 28, 2023
Inverse Reinforcement Learning Without RL with Gokul Swamy - #643
Aug 21, 2023
Explainable AI for Biology and Medicine with Su-In Lee - #642
Aug 14, 2023
Transformers On Large-Scale Graphs with Bayan Bruss - #641
Aug 07, 2023
The Enterprise LLM Landscape with Atul Deo - #640
Jul 31, 2023
BloombergGPT - an LLM for Finance with David Rosenberg - #639
Jul 24, 2023
Are LLMs Good at Causal Reasoning? with Robert Osazuwa Ness - #638
Jul 17, 2023
Privacy vs Fairness in Computer Vision with Alice Xiang - #637
Jul 10, 2023
Unifying Vision and Language Models with Mohit Bansal - #636
Jul 03, 2023
Data Augmentation and Optimized Architectures for Computer Vision with Fatih Porikli - #635
Jun 26, 2023
Mojo: A Supercharged Python for AI with Chris Lattner - #634
Jun 19, 2023
Stable Diffusion and LLMs at the Edge with Jilei Hou - #633
Jun 12, 2023
Modeling Human Behavior with Generative Agents with Joon Sung Park - #632
Jun 05, 2023
Towards Improved Transfer Learning with Hugo Larochelle - #631
May 29, 2023
Language Modeling With State Space Models with Dan Fu - #630
May 22, 2023
Building Maps and Spatial Awareness in Blind AI Agents with Dhruv Batra - #629
May 15, 2023
AI Agents and Data Integration with GPT and LLaMa with Jerry Liu - #628
May 08, 2023
Hyperparameter Optimization through Neural Network Partitioning with Christos Louizos - #627
May 01, 2023
Are LLMs Overhyped or Underappreciated? with Marti Hearst - #626
Apr 24, 2023
Are Large Language Models a Path to AGI? with Ben Goertzel - #625
Apr 17, 2023
Open Source Generative AI at Hugging Face with Jeff Boudier - #624
Apr 11, 2023
Generative AI at the Edge with Vinesh Sukumar - #623
Apr 03, 2023
Runway Gen-2: Generative AI for Video Creation with Anastasis Germanidis - #622
Mar 27, 2023
Watermarking Large Language Models to Fight Plagiarism with Tom Goldstein - 621
Mar 20, 2023
Does ChatGPT “Think”? A Cognitive Neuroscience Perspective with Anna Ivanova - #620
Mar 13, 2023
Robotic Dexterity and Collaboration with Monroe Kennedy III - #619
Mar 06, 2023
Privacy and Security for Stable Diffusion and LLMs with Nicholas Carlini - #618
Feb 27, 2023
Understanding AI’s Impact on Social Disparities with Vinodkumar Prabhakaran - #617
Feb 20, 2023
AI Trends 2023: Causality and the Impact on Large Language Models with Robert Osazuwa Ness - #616
Feb 14, 2023
Data-Centric Zero-Shot Learning for Precision Agriculture with Dimitris Zermas - #615
Feb 06, 2023
How LLMs and Generative AI are Revolutionizing AI for Science with Anima Anandkumar - #614
Jan 30, 2023
AI Trends 2023: Natural Language Proc - ChatGPT, GPT-4 and Cutting Edge Research with Sameer Singh - #613
Jan 23, 2023
AI Trends 2023: Reinforcement Learning - RLHF, Robotic Pre-Training, and Offline RL with Sergey Levine - #612
Jan 16, 2023
Supporting Food Security in Africa Using ML with Catherine Nakalembe - #611
Jan 09, 2023
Service Cards and ML Governance with Michael Kearns - #610
Jan 02, 2023
Reinforcement Learning for Personalization at Spotify with Tony Jebara - #609
Dec 29, 2022
Will ChatGPT take my job? - #608
Dec 26, 2022
Geospatial Machine Learning at AWS with Kumar Chellapilla - #607
Dec 22, 2022
Real-Time ML Workflows at Capital One with Disha Singla - #606
Dec 19, 2022
Weakly Supervised Causal Representation Learning with Johann Brehmer - #605
Dec 15, 2022
Stable Diffusion & Generative AI with Emad Mostaque - #604
Dec 12, 2022
Exploring Large Language Models with ChatGPT - #603
Dec 08, 2022
Accelerating Intelligence with AI-Generating Algorithms with Jeff Clune - #602
Dec 05, 2022
Programmatic Labeling and Data Scaling for Autonomous Commercial Aviation with Cedric Cocaud - #601
Nov 28, 2022
Engineering Production NLP Systems at T-Mobile with Heather Nolis - #600
Nov 21, 2022
Sim2Real and Optimus, the Humanoid Robot with Ken Goldberg - #599
Nov 14, 2022
The Evolution of the NLP Landscape with Oren Etzioni - #598
Nov 07, 2022
Live from TWIMLcon! The Great MLOps Debate: End-to-End ML Platforms vs Specialized Tools - #597
Oct 31, 2022
Live from TWIMLcon! You're not Facebook. Architecting MLOps for B2B Use Cases with Jacopo Tagliabue - #596
Oct 24, 2022
Building Foundational ML Platforms with Kubernetes and Kubeflow with Ali Rodell - #595
Oct 17, 2022
AI-Powered Peer Programming with Vasi Philomin - #594
Oct 10, 2022
The Top 10 Reasons to Register for TWIMLcon: AI Platforms 2022!
Oct 03, 2022
Applied AI/ML Research at PayPal with Vidyut Naware - #593
Sep 26, 2022
Assessing Data Quality at Shopify with Wendy Foster - #592
Sep 19, 2022
Transformers for Tabular Data at Capital One with Bayan Bruss - #591
Sep 12, 2022
Understanding Collective Insect Communication with ML, w/ Orit Peleg - #590
Sep 05, 2022
Multimodal, Multi-Lingual NLP at Hugging Face with John Bohannon and Douwe Kiela - #589
Aug 29, 2022
Synthetic Data Generation for Robotics with Bill Vass - #588
Aug 22, 2022
Multi-Device, Multi-Use-Case Optimization with Jeff Gehlhaar - #587
Aug 15, 2022
Causal Conceptions of Fairness and their Consequences with Sharad Goel - #586
Aug 08, 2022
Brain-Inspired Hardware and Algorithm Co-Design with Melika Payvand - #585
Aug 01, 2022
Equivariant Priors for Compressed Sensing with Arash Behboodi - #584
Jul 25, 2022
Managing Data Labeling Ops for Success with Audrey Smith - #583
Jul 18, 2022
Engineering an ML-Powered Developer-First Search Engine with Richard Socher - #582
Jul 11, 2022
On The Path Towards Robot Vision with Aljosa Osep - #581
Jul 04, 2022
More Language, Less Labeling with Kate Saenko - #580
Jun 27, 2022
Optical Flow Estimation, Panoptic Segmentation, and Vision Transformers with Fatih Porikli - #579
Jun 20, 2022
Data Governance for Data Science with Adam Wood - #578
Jun 13, 2022
Feature Platforms for Data-Centric AI with Mike Del Balso - #577
Jun 06, 2022
The Fallacy of "Ground Truth" with Shayan Mohanty - #576
May 30, 2022
Principle-centric AI with Adrien Gaidon - #575
May 23, 2022
Data Debt in Machine Learning with D. Sculley - #574
May 19, 2022
AI for Enterprise Decisioning at Scale with Rob Walker - #573
May 16, 2022
Data Rights, Quantification and Governance for Ethical AI with Margaret Mitchell - #572
May 12, 2022
Studying Machine Intelligence with Been Kim - #571
May 09, 2022
Advances in Neural Compression with Auke Wiggers - #570
May 02, 2022
Mixture-of-Experts and Trends in Large-Scale Language Modeling with Irwan Bello - #569
Apr 25, 2022
Daring to DAIR: Distributed AI Research with Timnit Gebru - #568
Apr 18, 2022
Hierarchical and Continual RL with Doina Precup - #567
Apr 11, 2022
Open-Source Drug Discovery with DeepChem with Bharath Ramsundar - #566
Apr 04, 2022
Advancing Hands-On Machine Learning Education with Sebastian Raschka - #565
Mar 28, 2022
Big Science and Embodied Learning at Hugging Face 🤗 with Thomas Wolf - #564
Mar 21, 2022
Full-Stack AI Systems Development with Murali Akula - #563
Mar 14, 2022
100x Improvements in Deep Learning Performance with Sparsity, w/ Subutai Ahmad - #562
Mar 07, 2022
Scaling BERT and GPT for Financial Services with Jennifer Glore - #561
Feb 28, 2022
Trends in Deep Reinforcement Learning with Kamyar Azizzadenesheli - #560
Feb 21, 2022
Deep Reinforcement Learning at the Edge of the Statistical Precipice with Rishabh Agarwal - #559
Feb 14, 2022
Designing New Energy Materials with Machine Learning with Rafael Gomez-Bombarelli - #558
Feb 07, 2022
Differentiable Programming for Oceanography with Patrick Heimbach - #557
Jan 31, 2022
Trends in Machine Learning & Deep Learning with Zachary Lipton - #556
Jan 27, 2022
Solving the Cocktail Party Problem with Machine Learning, w/ ‪Jonathan Le Roux - #555
Jan 24, 2022
Machine Learning for Earthquake Seismology with Karianne Bergen - #554
Jan 20, 2022
The New DBfication of ML/AI with Arun Kumar - #553
Jan 17, 2022
Building Public Interest Technology with Meredith Broussard - #552
Jan 13, 2022
A Universal Law of Robustness via Isoperimetry with Sebastien Bubeck - #551
Jan 10, 2022
Trends in NLP with John Bohannon - #550
Jan 06, 2022
Trends in Computer Vision with Georgia Gkioxari - #549
Jan 03, 2022
Kids Run the Darndest Experiments: Causal Learning in Children with Alison Gopnik - #548
Dec 27, 2021
Hypergraphs, Simplicial Complexes and Graph Representations of Complex Systems with Tina Eliassi-Rad - #547
Dec 23, 2021
Deep Learning, Transformers, and the Consequences of Scale with Oriol Vinyals - #546
Dec 20, 2021
Optimization, Machine Learning and Intelligent Experimentation with Michael McCourt - #545
Dec 16, 2021
Jupyter and the Evolution of ML Tooling with Brian Granger - #544
Dec 13, 2021
Creating a Data-Driven Culture at ADP with Jack Berkowitz - #543
Dec 09, 2021
re:Invent Roundup 2021 with Bratin Saha - #542
Dec 06, 2021
Multi-modal Deep Learning for Complex Document Understanding with Doug Burdick - #541
Dec 02, 2021
Predictive Maintenance Using Deep Learning and Reliability Engineering with Shayan Mortazavi - #540
Nov 29, 2021
Building a Deep Tech Startup in NLP with Nasrin Mostafazadeh - #539
Nov 24, 2021
Models for Human-Robot Collaboration with Julie Shah - #538
Nov 22, 2021
Four Key Tools for Robust Enterprise NLP with Yunyao Li - #537
Nov 18, 2021
Machine Learning at GSK with Kim Branson - #536
Nov 15, 2021
The Benefit of Bottlenecks in Evolving Artificial Intelligence with David Ha - #535
Nov 11, 2021
Facebook Abandons Facial Recognition. Should Everyone Else Follow Suit? With Luke Stark - #534
Nov 08, 2021
Building Blocks of Machine Learning at LEGO with Francesc Joan Riera - #533
Nov 04, 2021
Exploring the FastAI Tooling Ecosystem with Hamel Husain - #532
Nov 01, 2021
Multi-task Learning for Melanoma Detection with Julianna Ianni - #531
Oct 28, 2021
House Hunters: Machine Learning at Redfin with Akshat Kaul - #530
Oct 26, 2021
Attacking Malware with Adversarial Machine Learning, w/ Edward Raff - #529
Oct 21, 2021
Learning to Ponder: Memory in Deep Neural Networks with Andrea Banino - #528
Oct 18, 2021
Advancing Deep Reinforcement Learning with NetHack, w/ Tim Rocktäschel - #527
Oct 14, 2021
Building Technical Communities at Stack Overflow with Prashanth Chandrasekar - #526
Oct 11, 2021
Deep Learning is Eating 5G. Here’s How, w/ Joseph Soriaga - #525
Oct 07, 2021
Modeling Human Cognition with RNNs and Curriculum Learning, w/ Kanaka Rajan - #524
Oct 04, 2021
Do You Dare Run Your ML Experiments in Production? with Ville Tuulos - #523
Sep 30, 2021
Delivering Neural Speech Services at Scale with Li Jiang - #522
Sep 27, 2021
AI’s Legal and Ethical Implications with Sandra Wachter - #521
Sep 23, 2021
Compositional ML and the Future of Software Development with Dillon Erb - #520
Sep 20, 2021
Generating SQL Database Queries from Natural Language with Yanshuai Cao - #519
Sep 16, 2021
Social Commonsense Reasoning with Yejin Choi - #518
Sep 13, 2021
Deep Reinforcement Learning for Game Testing at EA with Konrad Tollmar - #517
Sep 09, 2021
Exploring AI 2041 with Kai-Fu Lee - #516
Sep 06, 2021
Advancing Robotic Brains and Bodies with Daniela Rus - #515
Sep 02, 2021
Neural Synthesis of Binaural Speech From Mono Audio with Alexander Richard - #514
Aug 30, 2021
Using Brain Imaging to Improve Neural Networks with Alona Fyshe - #513
Aug 26, 2021
Adaptivity in Machine Learning with Samory Kpotufe - #512
Aug 23, 2021
A Social Scientist’s Perspective on AI with Eric Rice - #511
Aug 19, 2021
Applications of Variational Autoencoders and Bayesian Optimization with José Miguel Hernández Lobato - #510
Aug 16, 2021
Codex, OpenAI’s Automated Code Generation API with Greg Brockman - #509
Aug 12, 2021
Spatiotemporal Data Analysis with Rose Yu - #508
Aug 09, 2021
Parallelism and Acceleration for Large Language Models with Bryan Catanzaro - #507
Aug 05, 2021
Applying the Causal Roadmap to Optimal Dynamic Treatment Rules with Lina Montoya - #506
Aug 02, 2021
Constraint Active Search for Human-in-the-Loop Optimization with Gustavo Malkomes - #505
Jul 29, 2021
Fairness and Robustness in Federated Learning with Virginia Smith -#504
Jul 26, 2021
Scaling AI at H&M Group with Errol Koolmeister - #503
Jul 22, 2021
Evolving AI Systems Gracefully with Stefano Soatto - #502
Jul 19, 2021
ML Innovation in Healthcare with Suchi Saria - #501
Jul 15, 2021
Cross-Device AI Acceleration, Compilation & Execution with Jeff Gehlhaar - #500
Jul 12, 2021
The Future of Human-Machine Interaction with Dan Bohus and Siddhartha Sen - #499
Jul 08, 2021
Vector Quantization for NN Compression with Julieta Martinez - #498
Jul 05, 2021
Deep Unsupervised Learning for Climate Informatics with Claire Monteleoni - #497
Jul 01, 2021
Skip-Convolutions for Efficient Video Processing with Amir Habibian - #496
Jun 28, 2021
Advancing NLP with Project Debater w/ Noam Slonim - #495
Jun 24, 2021
Bringing AI Up to Speed with Autonomous Racing w/ Madhur Behl - #494
Jun 21, 2021
AI and Society: Past, Present and Future with Eric Horvitz - #493
Jun 17, 2021
Agile Applied AI Research with Parvez Ahammad - #492
Jun 14, 2021
Haptic Intelligence with Katherine J. Kuchenbecker - #491
Jun 10, 2021
Data Science on AWS with Chris Fregly and Antje Barth - #490
Jun 07, 2021
Accelerating Distributed AI Applications at Qualcomm with Ziad Asghar - #489
Jun 03, 2021
Buy AND Build for Production Machine Learning with Nir Bar-Lev - #488
May 31, 2021
Applied AI Research at AWS with Alex Smola - #487
May 27, 2021
Causal Models in Practice at Lyft with Sean Taylor - #486
May 24, 2021
Using AI to Map the Human Immune System w/ Jabran Zahid - #485
May 20, 2021
Learning Long-Time Dependencies with RNNs w/ Konstantin Rusch - #484
May 17, 2021
What the Human Brain Can Tell Us About NLP Models with Allyson Ettinger - #483
May 13, 2021
Probabilistic Numeric CNNs with Roberto Bondesan - #482
May 10, 2021
Building a Unified NLP Framework at LinkedIn with Huiji Gao - #481
May 06, 2021
Dask + Data Science Careers with Jacqueline Nolis - #480
May 03, 2021
Machine Learning for Equitable Healthcare Outcomes with Irene Chen - #479
Apr 29, 2021
AI Storytelling Systems with Mark Riedl - #478
Apr 26, 2021
Creating Robust Language Representations with Jamie Macbeth - #477
Apr 21, 2021
Reinforcement Learning for Industrial AI with Pieter Abbeel - #476
Apr 19, 2021
AutoML for Natural Language Processing with Abhishek Thakur - #475
Apr 15, 2021
Inclusive Design for Seeing AI with Saqib Shaikh - #474
Apr 12, 2021
Theory of Computation with Jelani Nelson - #473
Apr 08, 2021
Human-Centered ML for High-Risk Behaviors with Stevie Chancellor - #472
Apr 05, 2021
Operationalizing AI at Dataiku with Conor Jensen - #471
Apr 01, 2021
ML Lifecycle Management at Algorithmia with Diego Oppenheimer - #470
Apr 01, 2021
End to End ML at Cloudera with Santiago Giraldo - #469 [TWIMLcon Sponsor Series]
Mar 29, 2021
ML Platforms for Global Scale at Prosus with Paul van der Boor - #468 [TWIMLcon Sponsor Series]
Mar 29, 2021
Can Language Models Be Too Big? 🦜 with Emily Bender and Margaret Mitchell - #467
Mar 24, 2021
Applying RL to Real-World Robotics with Abhishek Gupta - #466
Mar 22, 2021
Accelerating Innovation with AI at Scale with David Carmona - #465
Mar 18, 2021
Complexity and Intelligence with Melanie Mitchell - #464
Mar 15, 2021
Robust Visual Reasoning with Adriana Kovashka - #463
Mar 11, 2021
Architectural and Organizational Patterns in Machine Learning with Nishan Subedi - #462
Mar 08, 2021
Common Sense Reasoning in NLP with Vered Shwartz - #461
Mar 04, 2021
How to Be Human in the Age of AI with Ayanna Howard - #460
Mar 01, 2021
How to Be Human in the Age of AI with Ayanna Howard - #460
Mar 01, 2021
Evolution and Intelligence with Penousal Machado - #459
Feb 25, 2021
Innovating Neural Machine Translation with Arul Menezes - #458
Feb 22, 2021
Building the Product Knowledge Graph at Amazon with Luna Dong - #457
Feb 18, 2021
Towards a Systems-Level Approach to Fair ML with Sarah M. Brown - #456
Feb 15, 2021
AI for Digital Health Innovation with Andrew Trister - #455
Feb 11, 2021
System Design for Autonomous Vehicles with Drago Anguelov - #454
Feb 08, 2021
Building, Adopting, and Maturing LinkedIn's Machine Learning Platform with Ya Xu - #453
Feb 04, 2021
Expressive Deep Learning with Magenta DDSP w/ Jesse Engel - #452
Feb 01, 2021
Semantic Folding for Natural Language Understanding with Francisco Weber - #451
Jan 29, 2021
The Future of Autonomous Systems with Gurdeep Pall - #450
Jan 25, 2021
AI for Ecology and Ecosystem Preservation with Bryan Carstens - #449
Jan 21, 2021
Off-Line, Off-Policy RL for Real-World Decision Making at Facebook - #448
Jan 18, 2021
A Future of Work for the Invisible Workers in A.I. with Saiph Savage - #447
Jan 14, 2021
Trends in Graph Machine Learning with Michael Bronstein - #446
Jan 11, 2021
Trends in Natural Language Processing with Sameer Singh - #445
Jan 07, 2021
Trends in Computer Vision with Pavan Turaga - #444
Jan 04, 2021
Trends in Reinforcement Learning with Pablo Samuel Castro - #443
Dec 30, 2020
MOReL: Model-Based Offline Reinforcement Learning with Aravind Rajeswaran - #442
Dec 28, 2020
Machine Learning as a Software Engineering Enterprise with Charles Isbell - #441
Dec 23, 2020
Natural Graph Networks with Taco Cohen - #440
Dec 21, 2020
Productionizing Time-Series Workloads at Siemens Energy with Edgar Bahilo Rodriguez - #439
Dec 18, 2020
ML Feature Store at Intuit with Srivathsan Canchi - #438
Dec 16, 2020
re:Invent Roundup 2020 with Swami Sivasubramanian - #437
Dec 14, 2020
Predictive Disease Risk Modeling at 23andMe with Subarna Sinha - #436
Dec 11, 2020
Scaling Video AI at RTL with Daan Odijk - #435
Dec 09, 2020
Benchmarking ML with MLCommons w/ Peter Mattson - #434
Dec 07, 2020
Deep Learning for NLP: From the Trenches with Charlene Chambliss - #433
Dec 03, 2020
Feature Stores for Accelerating AI Development - #432
Nov 30, 2020
An Exploration of Coded Bias with Shalini Kantayya, Deb Raji and Meredith Broussard - #431
Nov 27, 2020
Common Sense as an Algorithmic Framework with Dileep George - #430
Nov 23, 2020
Scaling Enterprise ML in 2020: Still Hard! with Sushil Thomas - #429
Nov 19, 2020
Enabling Clinical Automation: From Research to Deployment with Devin Singh - #428
Nov 16, 2020
Pixels to Concepts with Backpropagation w/ Roland Memisevic - #427
Nov 12, 2020
Fighting Global Health Disparities with AI w/ Jon Wang - #426
Nov 09, 2020
Accessibility and Computer Vision - #425
Nov 05, 2020
NLP for Equity Investing with Frank Zhao - #424
Nov 02, 2020
The Future of Education and AI with Salman Khan - #423
Oct 28, 2020
Why AI Innovation and Social Impact Go Hand in Hand with Milind Tambe - #422
Oct 23, 2020
What's Next for Fast.ai? w/ Jeremy Howard - #421
Oct 21, 2020
Feature Stores for MLOps with Mike del Balso - #420
Oct 19, 2020
Exploring Causality and Community with Suzana Ilić - #419
Oct 16, 2020
Decolonizing AI with Shakir Mohamed - #418
Oct 14, 2020
Spatial Analysis for Real-Time Video Processing with Adina Trufinescu
Oct 08, 2020
How Deep Learning has Revolutionized OCR with Cha Zhang - #416
Oct 05, 2020
Machine Learning for Food Delivery at Global Scale - #415
Oct 02, 2020
Open Source at Qualcomm AI Research with Jeff Gehlhaar and Zahra Koochak - #414
Sep 30, 2020
Visualizing Climate Impact with GANs w/ Sasha Luccioni - #413
Sep 28, 2020
ML-Powered Language Learning at Duolingo with Burr Settles - #412
Sep 24, 2020
Bridging The Gap Between Machine Learning and the Life Sciences with Artur Yakimovich - #411
Sep 21, 2020
Understanding Cultural Style Trends with Computer Vision w/ Kavita Bala - #410
Sep 17, 2020
That's a VIBE: ML for Human Pose and Shape Estimation with Nikos Athanasiou, Muhammed Kocabas, Michael Black - #409
Sep 14, 2020
3D Deep Learning with PyTorch 3D w/ Georgia Gkioxari - #408
Sep 10, 2020
What are the Implications of Algorithmic Thinking? with Michael I. Jordan - #407
Sep 07, 2020
Beyond Accuracy: Behavioral Testing of NLP Models with Sameer Singh - #406
Sep 03, 2020
How Machine Learning Powers On-Demand Logistics at Doordash with Gary Ren - #405
Aug 31, 2020
Machine Learning as a Software Engineering Discipline with Dillon Erb - #404
Aug 27, 2020
AI and the Responsible Data Economy with Dawn Song - #403
Aug 24, 2020
Relational, Object-Centric Agents for Completing Simulated Household Tasks with Wilka Carvalho - #402
Aug 20, 2020
Model Explainability Forum - #401
Aug 17, 2020
What NLP Tells Us About COVID-19 and Mental Health with Johannes Eichstaedt - #400
Aug 13, 2020
Human-AI Collaboration for Creativity with Devi Parikh - #399
Aug 10, 2020
Neural Augmentation for Wireless Communication with Max Welling - #398
Aug 06, 2020
Quantum Machine Learning: The Next Frontier? with Iordanis Kerenidis - #397
Aug 04, 2020
ML and Epidemiology with Elaine Nsoesie - #396
Jul 30, 2020
Language (Technology) Is Power: Exploring the Inherent Complexity of NLP Systems with Hal Daumé III - #395
Jul 27, 2020
Graph ML Research at Twitter with Michael Bronstein - #394
Jul 23, 2020
Panel: The Great ML Language (Un)Debate! - #393
Jul 20, 2020
What the Data Tells Us About COVID-19 with Eric Topol - #392
Jul 16, 2020
The Case for Hardware-ML Model Co-design with Diana Marculescu - #391
Jul 13, 2020
Computer Vision for Remote AR with Flora Tasse - #390
Jul 09, 2020
Deep Learning for Automatic Basketball Video Production with Julian Quiroga - #389
Jul 06, 2020
How External Auditing is Changing the Facial Recognition Landscape with Deb Raji - #388
Jul 02, 2020
AI for High-Stakes Decision Making with Hima Lakkaraju - #387
Jun 29, 2020
Invariance, Geometry and Deep Neural Networks with Pavan Turaga - #386
Jun 25, 2020
Channel Gating for Cheaper and More Accurate Neural Nets with Babak Ehteshami Bejnordi - #385
Jun 22, 2020
Machine Learning Commerce at Square with Marsal Gavalda - #384
Jun 18, 2020
Cell Exploration with ML at the Allen Institute w/ Jianxu Chen - #383
Jun 15, 2020
Neural Arithmetic Units & Experiences as an Independent ML Researcher with Andreas Madsen - #382
Jun 11, 2020
2020: A Critical Inflection Point for Responsible AI with Rumman Chowdhury - #381
Jun 08, 2020
Panel: Advancing Your Data Science Career During the Pandemic - #380
Jun 04, 2020
On George Floyd, Empathy, and the Road Ahead
Jun 02, 2020
Engineering a Less Artificial Intelligence with Andreas Tolias - #379
May 28, 2020
Rethinking Model Size: Train Large, Then Compress with Joseph Gonzalez - #378
May 25, 2020
The Physics of Data with Alpha Lee - #377
May 21, 2020
Is Linguistics Missing from NLP Research? w/ Emily M. Bender - #376 🦜
May 18, 2020
Disrupting DeepFakes: Adversarial Attacks Against Conditional Image Translation Networks with Nataniel Ruiz - #375
May 14, 2020
Understanding the COVID-19 Data Quality Problem with Sherri Rose - #374
May 11, 2020
The Whys and Hows of Managing Machine Learning Artifacts with Lukas Biewald - #373
May 07, 2020
Language Modeling and Protein Generation at Salesforce with Richard Socher - #372
May 04, 2020
AI Research at JPMorgan Chase with Manuela Veloso - #371
Apr 30, 2020
Panel: Responsible Data Science in the Fight Against COVID-19 - #370
Apr 29, 2020
Adversarial Examples Are Not Bugs, They Are Features with Aleksander Madry - #369
Apr 27, 2020
AI for Social Good: Why "Good" isn't Enough with Ben Green - #368
Apr 23, 2020
The Evolution of Evolutionary AI with Risto Miikkulainen - #367
Apr 20, 2020
Neural Architecture Search and Google’s New AutoML Zero with Quoc Le - #366
Apr 16, 2020
Automating Electronic Circuit Design with Deep RL w/ Karim Beguir - #365
Apr 13, 2020
Neural Ordinary Differential Equations with David Duvenaud - #364
Apr 09, 2020
The Measure and Mismeasure of Fairness with Sharad Goel - #363
Apr 06, 2020
Simulating the Future of Traffic with RL w/ Cathy Wu - #362
Apr 02, 2020
Consciousness and COVID-19 with Yoshua Bengio - #361
Mar 30, 2020
Geometry-Aware Neural Rendering with Josh Tobin - #360
Mar 26, 2020
The Third Wave of Robotic Learning with Ken Goldberg - #359
Mar 23, 2020
Learning Visiolinguistic Representations with ViLBERT w/ Stefan Lee - #358
Mar 18, 2020
Upside-Down Reinforcement Learning with Jürgen Schmidhuber - #357
Mar 16, 2020
SLIDE: Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning with Beidi Chen - #356
Mar 12, 2020
Advancements in Machine Learning with Sergey Levine - #355
Mar 09, 2020
Secrets of a Kaggle Grandmaster with David Odaibo - #354
Mar 05, 2020
NLP for Mapping Physics Research with Matteo Chinazzi - #353
Mar 02, 2020
Metric Elicitation and Robust Distributed Learning with Sanmi Koyejo - #352
Feb 27, 2020
High-Dimensional Robust Statistics with Ilias Diakonikolas - #351
Feb 24, 2020
How AI Predicted the Coronavirus Outbreak with Kamran Khan - #350
Feb 19, 2020
Turning Ideas into ML Powered Products with Emmanuel Ameisen - #349
Feb 17, 2020
Algorithmic Injustices and Relational Ethics with Abeba Birhane - #348
Feb 13, 2020
AI for Agriculture and Global Food Security with Nemo Semret - #347
Feb 10, 2020
Practical Differential Privacy at LinkedIn with Ryan Rogers - #346
Feb 07, 2020
Networking Optimizations for Multi-Node Deep Learning on Kubernetes with Erez Cohen - #345
Feb 05, 2020
Managing Research Needs at the University of Michigan using Kubernetes w/ Bob Killen - #344
Feb 03, 2020
Scalable and Maintainable Workflows at Lyft with Flyte w/ Haytham AbuelFutuh and Ketan Umare - #343
Jan 30, 2020
Causality 101 with Robert Osazuwa Ness - #342
Jan 27, 2020
PaccMann^RL: Designing Anticancer Drugs with Reinforcement Learning w/ Jannis Born - #341
Jan 23, 2020
Social Intelligence with Blaise Aguera y Arcas - #340
Jan 20, 2020
Music & AI Plus a Geometric Perspective on Reinforcement Learning with Pablo Samuel Castro - #339
Jan 16, 2020
Trends in Computer Vision with Amir Zamir - #338
Jan 13, 2020
Trends in Natural Language Processing with Nasrin Mostafazadeh - #337
Jan 09, 2020
Trends in Fairness and AI Ethics with Timnit Gebru - #336
Jan 06, 2020
Trends in Reinforcement Learning with Chelsea Finn - #335
Jan 02, 2020
Trends in Machine Learning & Deep Learning with Zack Lipton - #334
Dec 30, 2019
FaciesNet & Machine Learning Applications in Energy with Mohamed Sidahmed - #333
Dec 27, 2019
Machine Learning: A New Approach to Drug Discovery with Daphne Koller - #332
Dec 26, 2019
Sensory Prediction Error Signals in the Neocortex with Blake Richards - #331
Dec 24, 2019
How to Know with Celeste Kidd - #330
Dec 23, 2019
Using Deep Learning to Predict Wildfires with Feng Yan - #329
Dec 20, 2019
Advancing Machine Learning at Capital One with Dave Castillo - #328
Dec 19, 2019
Helping Fish Farmers Feed the World with Deep Learning w/ Bryton Shang - #327
Dec 17, 2019
Metaflow, a Human-Centric Framework for Data Science with Ville Tuulos - #326
Dec 13, 2019
Single Headed Attention RNN: Stop Thinking With Your Head with Stephen Merity - #325
Dec 12, 2019
Automated Model Tuning with SigOpt - #324
Dec 09, 2019
Automated Machine Learning with Erez Barak - #323
Dec 06, 2019
Responsible AI in Practice with Sarah Bird - #322
Dec 04, 2019
Enterprise Readiness, MLOps and Lifecycle Management with Jordan Edwards - #321
Dec 02, 2019
DevOps for ML with Dotscience - #320
Nov 26, 2019
Building an Autonomous Knowledge Graph with Mike Tung - #319
Nov 21, 2019
The Next Generation of Self-Driving Engineers with Aaron Ma - Talk #318
Nov 18, 2019
Spiking Neural Networks: A Primer with Terrence Sejnowski - #317
Nov 14, 2019
Bridging the Patient-Physician Gap with ML and Expert Systems w/ Xavier Amatriain - #316
Nov 11, 2019
What Does it Mean for a Machine to "Understand"? with Thomas Dietterich - #315
Nov 07, 2019
Scaling TensorFlow at LinkedIn with Jonathan Hung - #314
Nov 04, 2019
Machine Learning at GitHub with Omoju Miller - #313
Oct 31, 2019
Using AI to Diagnose and Treat Neurological Disorders with Archana Venkataraman - #312
Oct 28, 2019
Deep Learning for Earthquake Aftershock Patterns with Phoebe DeVries & Brendan Meade - #311
Oct 25, 2019
Live from TWIMLcon! Operationalizing Responsible AI - #310
Oct 22, 2019
Live from TWIMLcon! Scaling ML in the Traditional Enterprise - #309
Oct 18, 2019
Live from TWIMLcon! Culture & Organization for Effective ML at Scale (Panel) - #308
Oct 15, 2019
Live from TWIMLcon! Use-Case Driven ML Platforms with Franziska Bell - #307
Oct 10, 2019
Live from TWIMLcon! Operationalizing ML at Scale with Hussein Mehanna - #306
Oct 08, 2019
Live from TWIMLcon! Encoding Company Culture in Applied AI Systems - #305
Oct 04, 2019
Live from TWIMLcon! Overcoming the Barriers to Deep Learning in Production with Andrew Ng - #304
Oct 01, 2019
The Future of Mixed-Autonomy Traffic with Alexandre Bayen - #303
Sep 27, 2019
Deep Reinforcement Learning for Logistics at Instadeep with Karim Beguir - #302
Sep 25, 2019
Deep Learning with Structured Data w/ Mark Ryan - #301
Sep 19, 2019
Time Series Clustering for Monitoring Fueling Infrastructure Performance with Kalai Ramea - #300
Sep 18, 2019
Swarm AI for Event Outcome Prediction with Gregg Willcox - TWIML Talk #299
Sep 13, 2019
Rebooting AI: What's Missing, What's Next with Gary Marcus - TWIML Talk #298
Sep 10, 2019
DeepQB: Deep Learning to Quantify Quarterback Decision-Making with Brian Burke - TWIML Talk #297
Sep 05, 2019
Measuring Performance Under Pressure Using ML with Lotte Bransen - TWIML Talk #296
Sep 03, 2019
Managing Deep Learning Experiments with Lukas Biewald - TWIML Talk #295
Aug 29, 2019
Re-Architecting Data Science at iRobot with Angela Bassa - TWIML Talk #294
Aug 26, 2019
Disentangled Representations & Google Research Football with Olivier Bachem - TWIML Talk #293
Aug 22, 2019
Neural Network Quantization and Compression with Tijmen Blankevoort - TWIML Talk #292
Aug 19, 2019
Identifying New Materials with NLP with Anubhav Jain - TWIML Talk #291
Aug 15, 2019
The Problem with Black Boxes with Cynthia Rudin - TWIML Talk #290
Aug 14, 2019
Human-Robot Interaction and Empathy with Kate Darling - TWIML Talk #289
Aug 08, 2019
Automated ML for RNA Design with Danny Stoll - TWIML Talk #288
Aug 05, 2019
Developing a brain atlas using deep learning with Theofanis Karayannis - TWIML Talk #287
Aug 01, 2019
Environmental Impact of Large-Scale NLP Model Training with Emma Strubell - TWIML Talk #286
Jul 29, 2019
“Fairwashing” and the Folly of ML Solutionism with Zachary Lipton - TWIML Talk #285
Jul 25, 2019
Retinal Image Generation for Disease Discovery with Stephen Odaibo - TWIML Talk #284
Jul 22, 2019
Real world model explainability with Rayid Ghani - TWiML Talk #283
Jul 18, 2019
Inspiring New Machine Learning Platforms w/ Bioelectric Computation with Michael Levin - TWiML Talk #282
Jul 15, 2019
Simulation and Synthetic Data for Computer Vision with Batu Arisoy - TWiML Talk #281
Jul 09, 2019
Spiking Neural Nets and ML as a Systems Challenge with Jeff Gehlhaar - TWIML Talk #280
Jul 08, 2019
Transforming Oil & Gas with AI with Adi Bhashyam and Daniel Jeavons - TWIML Talk #279
Jul 01, 2019
Fast Radio Burst Pulse Detection with Gerry Zhang - TWIML Talk #278
Jun 27, 2019
Tracking CO2 Emissions with Machine Learning with Laurence Watson - TWIML Talk #277
Jun 24, 2019
Topic Modeling for Customer Insights at USAA with William Fehlman - TWIML Talk #276
Jun 20, 2019
Phronesis of AI in Radiology with Judy Gichoya - TWIML Talk #275
Jun 18, 2019
The Ethics of AI-Enabled Surveillance with Karen Levy - TWIML Talk #274
Jun 14, 2019
Supporting Rapid Model Development at Two Sigma with Matt Adereth & Scott Clark - TWIML Talk #273
Jun 11, 2019
Scaling Model Training with Kubernetes at Stripe with Kelley Rivoire - TWIML Talk #272
Jun 06, 2019
Productizing ML at Scale at Twitter with Yi Zhuang - TWIML Talk #271
Jun 03, 2019
Snorkel: A System for Fast Training Data Creation with Alex Ratner - TWiML Talk #270
May 30, 2019
Advancing Autonomous Vehicle Development Using Distributed Deep Learning with Adrien Gaidon - TWiML Talk #269
May 28, 2019
Are We Being Honest About How Difficult AI Really Is? w/ David Ferrucci - TWiML Talk #268
May 23, 2019
Gauge Equivariant CNNs, Generative Models, and the Future of AI with Max Welling - TWiML Talk #267
May 20, 2019
Can We Trust Scientific Discoveries Made Using Machine Learning? with Genevera Allen - TWiML Talk #266
May 16, 2019
Creative Adversarial Networks for Art Generation with Ahmed Elgammal - TWiML Talk #265
May 13, 2019
Diagnostic Visualization for Machine Learning with YellowBrick w/ Rebecca Bilbro - TWiML Talk #264
May 10, 2019
Librosa: Audio and Music Processing in Python with Brian McFee - TWiML Talk #263
May 09, 2019
Practical Natural Language Processing with spaCy and Prodigy w/ Ines Montani - TWiML Talk #262
May 07, 2019
Scaling Jupyter Notebooks with Luciano Resende - TWiML Talk #261
May 06, 2019
Fighting Fake News and Deep Fakes with Machine Learning w/ Delip Rao - TWiML Talk #260
May 03, 2019
Maintaining Human Control of Artificial Intelligence with Joanna Bryson - TWiML Talk #259
May 01, 2019
Intelligent Infrastructure Management with Pankaj Goyal & Rochna Dhand - TWiML Talk #258
Apr 29, 2019
Organizing for Successful Data Science at Stitch Fix with Eric Colson - TWiML Talk #257
Apr 26, 2019
End-to-End Data Science to Drive Business Decisions at LinkedIn with Burcu Baran - TWiML Talk #256
Apr 24, 2019
Learning with Limited Labeled Data with Shioulin Sam - TWiML Talk #255
Apr 22, 2019
cuDF, cuML & RAPIDS: GPU Accelerated Data Science with Paul Mahler - TWiML Talk #254
Apr 19, 2019
Edge AI for Smart Manufacturing with Trista Chen - TWiML Talk #253
Apr 18, 2019
Machine Learning for Security and Security for Machine Learning with Nicole Nichols - TWiML Talk #252
Apr 16, 2019
Domain Adaptation and Generative Models for Single Cell Genomics with Gerald Quon - TWiML Talk #251
Apr 15, 2019
Mapping Dark Matter with Bayesian Neural Networks w/ Yashar Hezaveh - TWiML Talk #250
Apr 11, 2019
Deep Learning for Population Genetic Inference with Dan Schrider - TWiML Talk #249
Apr 09, 2019
Empathy in AI with Rob Walker - TWiML Talk #248
Apr 05, 2019
Benchmarking Custom Computer Vision Services at Urban Outfitters with Tom Szumowski - TWiML Talk #247
Apr 03, 2019
Pragmatic Quantum Machine Learning with Peter Wittek - TWiML Talk #245
Apr 01, 2019
*Bonus Episode* A Quantum Machine Learning Algorithm Takedown with Ewin Tang - TWiML Talk #246
Apr 01, 2019
Supporting TensorFlow at Airbnb with Alfredo Luque - TWiML Talk #244
Mar 28, 2019
Mining the Vatican Secret Archives with TensorFlow w/ Elena Nieddu - TWiML Talk #243
Mar 27, 2019
Exploring TensorFlow 2.0 with Paige Bailey - TWiML Talk #242
Mar 25, 2019
Privacy-Preserving Decentralized Data Science with Andrew Trask - TWiML Talk #241
Mar 21, 2019
The Unreasonable Effectiveness of the Forget Gate with Jos Van Der Westhuizen - TWiML Talk #240
Mar 18, 2019
Building a Recommendation Agent for The North Face with Andrew Guldman - TWiML Talk #239
Mar 14, 2019
Active Learning for Materials Design with Kevin Tran - TWiML Talk #238
Mar 11, 2019
Deep Learning in Optics with Aydogan Ozcan - TWiML Talk #237
Mar 07, 2019
Scaling Machine Learning on Graphs at LinkedIn with Hema Raghavan and Scott Meyer - TWiML Talk #236
Mar 04, 2019
Safer Exploration in Deep Reinforcement Learning using Action Priors with Sicelukwanda Zwane - TWiML Talk #235
Mar 01, 2019
Dissecting the Controversy around OpenAI's New Language Model - TWiML Talk #234
Feb 25, 2019
Human-Centered Design with Mira Lane - TWiML Talk #233
Feb 22, 2019
Fairness in Machine Learning with Hanna Wallach - TWiML Talk #232
Feb 18, 2019
AI for Healthcare with Peter Lee - TWiML Talk #231
Feb 18, 2019
An Optimized Recurrent Unit for Ultra-Low Power Acoustic Event Detection with Justice Amoh Jr. - TWiML Talk #230
Feb 11, 2019
Pathologies of Neural Models and Interpretability with Alvin Grissom II - TWiML Talk #229
Feb 11, 2019
AI for Earth with Lucas Joppa - TWiML Talk #228
Feb 08, 2019
AI for Accessibility with Wendy Chisholm - TWiML Talk #227
Feb 06, 2019
AI for Humanitarian Action with Justin Spelhaug - TWiML Talk #226
Feb 04, 2019
Teaching AI to Preschoolers with Randi Williams - TWiML Talk #225
Jan 31, 2019
Holistic Optimization of the LinkedIn News Feed - TWiML Talk #224
Jan 28, 2019
AI at the Edge at Qualcomm with Gary Brotman - TWiML Talk #223
Jan 24, 2019
AI Innovation at CES - TWiML Talk #222
Jan 21, 2019
Self-Tuning Services via Real-Time Machine Learning with Vladimir Bychkovsky - TWiML Talk #221
Jan 17, 2019
Building a Recommender System from Scratch at 20th Century Fox with JJ Espinoza - TWiML Talk #220
Jan 14, 2019
Legal and Policy Implications of Model Interpretability with Solon Barocas - TWiML Talk #219
Jan 10, 2019
Trends in Computer Vision with Siddha Ganju - TWiML Talk #218
Jan 07, 2019
Trends in Reinforcement Learning with Simon Osindero - TWiML Talk #217
Jan 03, 2019
Trends in Natural Language Processing with Sebastian Ruder - TWiML Talk #216
Dec 31, 2018
Trends in Machine Learning with Anima Anandkumar - TWiML Talk #215
Dec 27, 2018
Trends in Deep Learning with Jeremy Howard - TWiML Talk #214
Dec 24, 2018
Training Large-Scale Deep Nets with RL with Nando de Freitas - TWiML Talk #213
Dec 20, 2018
Making Algorithms Trustworthy with David Spiegelhalter - TWiML Talk #212
Dec 20, 2018
Designing Computer Systems for Software with Kunle Olukotun - TWiML Talk #211
Dec 18, 2018
Operationalizing Ethical AI with Kathryn Hume - TWiML Talk #210
Dec 14, 2018
Approaches to Fairness in Machine Learning with Richard Zemel - TWiML Talk #209
Dec 12, 2018
Trust and AI with Parinaz Sobhani - TWiML Talk #208
Dec 11, 2018
Unbiased Learning from Biased User Feedback with Thorsten Joachims - TWiML Talk #207
Dec 07, 2018
Language Parsing and Character Mining with Jinho Choi - TWiML Talk #206
Dec 05, 2018
re:Invent Roundup Roundtable 2018 with Dave McCrory and Val Bercovici - TWiML Talk #205
Dec 03, 2018
Knowledge Graphs and Expert Augmentation with Marisa Boston - TWiML Talk #204
Nov 29, 2018
ML/DL for Non-Stationary Time Series Analysis in Financial Markets and Beyond with Stuart Reid - TWiML Talk #203
Nov 26, 2018
Industrializing Machine Learning at Shell with Daniel Jeavons - TWiML Talk #202
Nov 21, 2018
Resurrecting a Recommendations Platform at Comcast with Leemay Nassery - TWiML Talk #201
Nov 19, 2018
Productive Machine Learning at LinkedIn with Bee-Chung Chen - TWiML Talk #200
Nov 15, 2018
Scaling Deep Learning on Kubernetes at OpenAI with Christopher Berner - TWiML Talk #199
Nov 12, 2018
Bighead: Airbnb's Machine Learning Platform with Atul Kale - TWiML Talk #198
Nov 08, 2018
Facebook's FBLearner Platform with Aditya Kalro - TWiML Talk #197
Nov 06, 2018
Geometric Statistics in Machine Learning w/ geomstats with Nina Miolane - TWiML Talk #196
Nov 01, 2018
Milestones in Neural Natural Language Processing with Sebastian Ruder - TWiML Talk #195
Oct 29, 2018
Natural Language Processing at StockTwits with Garrett Hoffman - TWiML Talk #194
Oct 25, 2018
Advanced Reinforcement Learning & Data Science for Social Impact with Vukosi Marivate - TWiML Talk #193
Oct 23, 2018
AI Ethics, Strategic Decisioning and Game Theory with Osonde Osoba - TWiML Talk #192
Oct 18, 2018
Acoustic Word Embeddings for Low Resource Speech Processing with Herman Kamper - TWiML Talk #191
Oct 16, 2018
Learning Representations for Visual Search with Naila Murray - TWiML Talk #190
Oct 12, 2018
Evaluating Model Explainability Methods with Sara Hooker - TWiML Talk #189
Oct 10, 2018
Graph Analytic Systems with Zachary Hanif - TWiML Talk #188
Oct 08, 2018
Diversification in Recommender Systems with Ahsan Ashraf - TWiML Talk #187
Oct 04, 2018
The Fastai v1 Deep Learning Framework with Jeremy Howard - TWiML Talk #186
Oct 02, 2018
Federated ML for Edge Applications with Justin Norman - TWiML Talk #185
Sep 27, 2018
Exploring Dark Energy & Star Formation w/ ML with Viviana Acquaviva - TWiML Talk #184
Sep 26, 2018
Document Vectors in the Wild with James Dreiss - TWiML Talk #183
Sep 24, 2018
Applied Machine Learning for Publishers with Naveed Ahmad - TWiML Talk #182
Sep 20, 2018
Anticipating Superintelligence with Nick Bostrom - TWiML Talk #181
Sep 17, 2018
Can We Train an AI to Understand Body Language? with Hanbyul Joo - TWIML Talk #180
Sep 13, 2018
Biological Particle Identification and Tracking with Jay Newby - TWiML Talk #179
Sep 10, 2018
AI for Content Creation with Debajyoti Ray - TWiML Talk #178
Sep 06, 2018
Deep Reinforcement Learning Primer and Research Frontiers with Kamyar Azizzadenesheli - TWiML Talk #177
Aug 30, 2018
OpenAI Five with Christy Dennison - TWiML Talk #176
Aug 27, 2018
How ML Keeps Shelves Stocked at Home Depot with Pat Woowong - TWiML Talk #175
Aug 23, 2018
Contextual Modeling for Language and Vision with Nasrin Mostafazadeh - TWiML Talk #174
Aug 20, 2018
ML for Understanding Satellite Imagery at Scale with Kyle Story - TWiML Talk #173
Aug 16, 2018
Generating Ground-Level Images From Overhead Imagery Using GANs with Yi Zhu - TWiML Talk #172
Aug 13, 2018
Vision Systems for Planetary Landers and Drones with Larry Matthies - TWiML Talk #171
Aug 09, 2018
Learning Semantically Meaningful and Actionable Representations with Ashutosh Saxena - TWiML Talk #170
Aug 06, 2018
AI Innovation for Clinical Decision Support with Joe Connor - TWiML Talk #169
Aug 02, 2018
Dynamic Visual Localization and Segmentation with Laura Leal-Taixé -TWiML Talk #168
Jul 30, 2018
Conversational AI for the Intelligent Workplace with Gillian McCann - TWiML Talk #167
Jul 26, 2018
Computer Vision and Intelligent Agents for Wildlife Conservation with Jason Holmberg - TWiML Talk #166
Jul 22, 2018
Pragmatic Deep Learning for Medical Imagery with Prashant Warier - TWiML Talk #165
Jul 19, 2018
Taskonomy: Disentangling Transfer Learning for Perception (CVPR 2018 Best Paper Winner) with Amir Zamir - TWiML Talk #164
Jul 16, 2018
Predicting Metabolic Pathway Dynamics w/ Machine Learning with Zak Costello - TWiML Talk #163
Jul 11, 2018
Machine Learning to Discover Physics and Engineering Principles with Nathan Kutz - TWiML Talk #162
Jul 09, 2018
Automating Complex Internal Processes w/ AI with Alexander Chukovski - TWiML Talk #161
Jul 05, 2018
Designing Better Sequence Models with RNNs with Adji Bousso Dieng - TWiML Talk #160
Jul 02, 2018
Love Love: AI and ML in Tennis with Stephanie Kovalchik - TWiML Talk #159
Jun 29, 2018
Growth Hacking Sports w/ Machine Learning with Noah Gift - TWiML Talk #158
Jun 28, 2018
Fine-Grained Player Prediction in Sports with Jennifer Hobbs - TWiML Talk #157
Jun 27, 2018
Targeted Ticket Sales Using Azure ML with the Trail Blazers w/ Mike Schumacher & Chenhui Hu - TWiML Talk #156
Jun 26, 2018
AI for Athlete Optimization with Sinead Flahive - TWiML Talk #155
Jun 25, 2018
Omni-Channel Customer Experiences with Vince Jeffs - TWiML Talk #154
Jun 21, 2018
Workforce Intelligence for Automation & Productivity with Michael Kempe - TWiML Talk #153
Jun 20, 2018
Data Platforms for Decision Automation at Scotiabank with Jim Saleh - TWiML Talk #152
Jun 19, 2018
Towards the Self-Driving Enterprise with Kirk Borne - TWiML Talk #151
Jun 18, 2018
How a Global Energy Company Adopts ML & AI with Nicholas Osborn - TWiML Talk #150
Jun 14, 2018
Problem Formulation for Machine Learning with Romer Rosales - TWiML Talk #149
Jun 11, 2018
AI for Materials Discovery with Greg Mulholland - TWiML Talk #148
Jun 07, 2018
Data Innovation & AI at Capital One with Adam Wenchel - TWiML Talk #147
Jun 04, 2018
Deep Gradient Compression for Distributed Training with Song Han - TWiML Talk #146
May 31, 2018
Masked Autoregressive Flow for Density Estimation with George Papamakarios - TWiML Talk #145
May 28, 2018
Training Data for Computer Vision at Figure Eight with Qazaleh Mirsharif - TWiML Talk #144
May 25, 2018
Agile Data Science with Sarah Aerni - TWiML Talk #143
May 24, 2018
Tensor Operations for Machine Learning with Anima Anandkumar - TWiML Talk #142
May 23, 2018
Deep Learning for Live-Cell Imaging with David Van Valen - TWiML Talk #141
May 22, 2018
Checking in with the Master w/ Garry Kasparov - TWiML Talk #140
May 21, 2018
Exploring AI-Generated Music with Taryn Southern - TWiML Talk #139
May 17, 2018
Practical Deep Learning with Rachel Thomas - TWiML Talk #138
May 14, 2018
Kinds of Intelligence w/ Jose Hernandez-Orallo - TWiML Talk #137
May 10, 2018
Taming arXiv with Natural Language Processing w/ John Bohannon - TWiML Talk #136
May 07, 2018
Epsilon Software for Private Machine Learning with Chang Liu - TWiML Talk #135
May 04, 2018
Scalable Differential Privacy for Deep Learning with Nicolas Papernot - TWiML Talk #134
May 03, 2018
Differential Privacy at Bluecore with Zahi Karam - TWiML Talk #133
May 01, 2018
Differential Privacy Theory & Practice with Aaron Roth - TWiML Talk #132
Apr 30, 2018
Optimal Transport and Machine Learning with Marco Cuturi - TWiML Talk #131
Apr 26, 2018
Collecting and Annotating Data for AI with Kiran Vajapey - TWiML Talk #130
Apr 23, 2018
Autonomous Aerial Guidance, Navigation and Control Systems with Christopher Lum - TWiML Talk #129
Apr 19, 2018
Infrastructure for Autonomous Vehicles with Missy Cummings - TWiML Talk #128
Apr 16, 2018
Hyper-Personalizing the Customer Experience w/ AI with Rob Walker - TWiML Talk #127
Apr 12, 2018
Information Extraction from Natural Document Formats with David Rosenberg - TWiML Talk #126
Apr 09, 2018
Human-in-the-Loop AI for Emergency Response & More w/ Robert Munro - TWiML Talk #125
Apr 05, 2018
Systems and Software for Machine Learning at Scale with Jeff Dean - TWiML Talk #124
Apr 02, 2018
Semantic Segmentation of 3D Point Clouds with Lyne Tchapmi - TWiML Talk #123
Mar 29, 2018
Predicting Cardiovascular Risk Factors from Eye Images with Ryan Poplin - TWiML Talk #122
Mar 26, 2018
Reproducibility and the Philosophy of Data with Clare Gollnick - TWiML Talk #121
Mar 22, 2018
Surveying the Connected Car Landscape with GK Senthil - TWiML Talk #120
Mar 19, 2018
Adversarial Attacks Against Reinforcement Learning Agents with Ian Goodfellow & Sandy Huang
Mar 15, 2018
Towards Abstract Robotic Understanding with Raja Chatila - TWiML Talk #118
Mar 12, 2018
Discovering Exoplanets w/ Deep Learning with Chris Shallue - TWiML Talk #117
Mar 08, 2018
Learning Active Learning with Ksenia Konyushkova - TWiML Talk #116
Mar 05, 2018
Machine Learning Platforms at Uber with Mike Del Balso - TWiML Talk #115
Mar 01, 2018
Inverse Programming for Deeper AI with Zenna Tavares - TWiML Talk #114
Feb 26, 2018
Statistical Relational Artificial Intelligence with Sriraam Natarajan - TWiML Talk #113
Feb 23, 2018
Classical Machine Learning for Infant Medical Diagnosis with Charles Onu - TWiML Talk #112
Feb 20, 2018
Learning "Common Sense" and Physical Concepts with Roland Memisevic - TWiML Talk #111
Feb 15, 2018
Trust in Human-Robot/AI Interactions with Ayanna Howard - TWiML Talk #110
Feb 13, 2018
Data Science for Poaching Prevention and Disease Treatment with Nyalleng Moorosi - TWiML Talk #109
Feb 08, 2018
Security and Safety in AI: Adversarial Examples, Bias and Trust w/ Moustapha Cissé - TWiML Talk #108
Feb 06, 2018
Peering into the Home w/ Aerial.ai's Wifi Motion Analytics - TWiML Talk #107
Feb 02, 2018
Physiology-Based Models for Fitness and Training w/ Firstbeat with Ilkka Korhonen - TWiML Talk #106
Feb 02, 2018
Machine Learning for Signal Processing Applications w/ Stuart Feffer & Brady Tsai - TWiML Talk #105
Feb 01, 2018
Personalizing the Ferrari Challenge Experience w/ Intel AI - TWiML Talk #104
Jan 31, 2018
Deep Learning for 3D Sensors and Cameras in Lighthouse with Alex Teichman - TWiML Talk #103
Jan 30, 2018
Computer Vision for Cozmo, the Cutest Toy Robot Everrrrr! with Andrew Stein - TWiML Talk #102
Jan 30, 2018
Expectation Maximization, Gaussian Mixtures & Belief Propagation, OH MY! w/ Inmar Givoni - Talk #101
Jan 26, 2018
A Linear-Time Kernel Goodness-of-Fit Test - NIPS Best Paper '17 - TWiML Talk #100
Jan 24, 2018
Solving Imperfect-Information Games with Tuomas Sandholm - NIPS ’17 Best Paper - TWiML Talk #99
Jan 22, 2018
Separating Vocals in Recorded Music at Spotify with Eric Humphrey - TWiML Talk #98
Jan 19, 2018
Accelerating Deep Learning with Mixed Precision Arithmetic with Greg Diamos - TWiML Talk #97
Jan 17, 2018
Composing Graphical Models With Neural Networks with David Duvenaud - TWiML Talk #96
Jan 15, 2018
Embedded Deep Learning at Deep Vision with Siddha Ganju - TWiML Talk #95
Jan 12, 2018
Neuroevolution: Evolving Novel Neural Network Architectures with Kenneth Stanley - TWiML Talk #94
Jan 11, 2018
A Quantum Computing Primer and Implications for AI with Davide Venturelli - TWiML Talk #93
Jan 08, 2018
Learning State Representations with Yael Niv - TWiML Talk #92
Dec 22, 2017
Philosophy of Intelligence with Matthew Crosby - TWiML Talk #91
Dec 21, 2017
Geometric Deep Learning with Joan Bruna & Michael Bronstein - TWiML Talk #90
Dec 20, 2017
AI at the NASA Frontier Development Lab with Sara Jennings, Timothy Seabrook and Andres Rodriguez
Dec 19, 2017
Using Deep Learning and Google Street View to Estimate Demographics with Timnit Gebru
Dec 19, 2017
Integrative Learning for Robotic Systems with Aaron Ames - TWiML Talk #87
Dec 15, 2017
Visual Recognition in the Cloud for Law Enforcement with Chris Adzima - TWiML Talk #86
Dec 14, 2017
Embodied Visual Learning with Kristen Grauman - TWiML Talk #85
Dec 13, 2017
Real-Time Machine Learning in the Database with Nikita Shamgunov - TWiML Talk #84
Dec 12, 2017
re:Invent Roundup Roundtable - TWiML Talk # 83
Dec 11, 2017
Driving Customer Loyalty with Predictive and Conversational AI with Sherif Mityas - TWiML Talk #82
Dec 08, 2017
Innovation Factories for AI in FInancial Services with Thierry Derungs - TWiML Talk #81
Dec 07, 2017
Block-Sparse Kernels for Deep Neural Networks with Durk Kingma - TWiML Talk #80
Dec 07, 2017
AI for Customer Service and Marketing at Aeromexico with Brian Gross - TWiML Talk #79
Dec 06, 2017
Scaling AI for the Enterprise with Mazin Gilbert - TWiML Talk #78
Dec 05, 2017
Scalable Distributed Deep Learning with Hillery Hunter - TWiML Talk #77
Dec 04, 2017
Robotics at OpenAI with Jonas Schneider - TWiML Talk #76
Dec 01, 2017
AI Robustness and Safety with Dario Amodei - TWiML Talk #75
Nov 30, 2017
Towards Artificial General Intelligence with Greg Brockman - TWiML Talk #74
Nov 28, 2017
Explaining Black Box Predictions with Sam Ritchie - TWiML Talk #73
Nov 25, 2017
Experimental Creative Writing with the Vectorized Word - Allison Parish - TWIML Talk #72
Nov 24, 2017
The Biological Path Towards Strong AI - Matthew Taylor - TWiML Talk #71
Nov 22, 2017
Pytorch: Fast Differentiable Dynamic Graphs in Python with Soumith Chintala - TWiML Talk #70
Nov 21, 2017
Accessible Machine Learning for the Enterprise Developer with Ryan Sevey & Jason Montgomery
Nov 20, 2017
Bridging the Gap Between Academic and Industry Careers with Ross Fadely - TWiML Talk #68
Nov 16, 2017
The Limitations of Human-in-the-Loop AI with Dennis Mortensen - TWiML Talk #67
Nov 13, 2017
Nexus Lab Cohort 2 - Second Mind - TWiML Talk #66
Nov 09, 2017
Nexus Lab Cohort 2 - Bite.ai - TWiML Talk #65
Nov 08, 2017
Nexus Lab Cohort 2 - Bowtie - TWiML Talk #64
Nov 07, 2017
AI Nexus Lab Cohort 2 - Mt. Cleverest - TWiML Talk #63
Nov 06, 2017
Learning to Learn, and other Opportunities in Machine Learning with Graham Taylor - TWiML Talk #62
Nov 03, 2017
Building Conversational Application for Financial Services with Kenneth Conroy - TWiML Talk #61
Nov 01, 2017
Fighting Fraud with Machine Learning at Shopify with Solmaz Shahalizadeh - TWiML Talk #60
Oct 30, 2017
Modeling Human Drivers for Autonomous Vehicles with Katie Driggs-Campbell - TWiML Talk #59
Oct 27, 2017
Perception Models for Self-Driving Cars with Jianxiong Xiao - TWiML Talk #58
Oct 25, 2017
Training Data for Autonomous Vehicles - Daryn Nakhuda - TWiML Talk #57
Oct 23, 2017
Human Factors in Machine Intelligence with James Guszcza - TWiML Talk #56
Oct 16, 2017
AI-Powered Conversational Interfaces with Paul Tepper - TWiML Talk #52
Oct 06, 2017
ML Use Cases at Think Big Analytics with Mo Patel and Laura Frølich - TWiML Talk #54
Oct 06, 2017
Intel Nervana Devcloud with Naveen Rao & Scott Apeland - TWiML Talk #51
Oct 06, 2017
Ray: A Distributed Computing Platform for Reinforcement Learning with Ion Stoica - TWiML Talk #55
Oct 05, 2017
Topological Data Analysis with Gunnar Carlsson - TWiML Talk #53
Oct 03, 2017
Bayesian Optimization for Hyperparameter Tuning with Scott Clark - TWiML Talk #50
Oct 02, 2017
Symbolic and Sub-Symbolic Natural Language Processing with Jonathan Mugan - TWiML Talk #49
Sep 25, 2017
Word2Vec & Friends with Bruno Gonçalves - TWiML Talk #48
Sep 19, 2017
Evolutionary Algorithms in Machine Learning with Risto Miikkulainen - TWiML Talk #47
Sep 11, 2017
Agile Machine Learning with Jennifer Prendki - TWiML Talk #46
Sep 05, 2017
LSTMs, Plus a Deep Learning History Lesson with Jürgen Schmidhuber - TWiML Talk #44
Aug 28, 2017
Machine Teaching for Better Machine Learning with Mark Hammond - TWiML Talk #43
Aug 21, 2017
Marrying Physics-Based and Data-Driven ML Models with Josh Bloom - TWiML Talk #42
Aug 14, 2017
Data Pipelines at Zymergen with Airflow with Erin Shellman - TWiML Talk #41
Aug 05, 2017
Cognitive Biases in Data Science with Drew Conway - TWiML Talk #39
Aug 05, 2017
Web Scale Engineering for Machine Learning with Sharath Rao - TWiML Talk #40
Aug 04, 2017
Deep Learning for Warehouse Operations with Calvin Seward - TWiML Talk #38
Jul 31, 2017
Deep Robotic Learning with Sergey Levine - TWiML Talk #37
Jul 24, 2017
Smart Buildings & IoT with Yodit Stanton - TWiML Talk #36
Jul 17, 2017
Expressive AI - Generated Music With Google's Performance RNN - Doug Eck - TWiML Talk #32
Jul 05, 2017
Intel Nervana Update + Productizing AI Research with Naveen Rao And Hanlin Tang - TWiML Talk #31
Jul 05, 2017
The Power Of Probabilistic Programming with Ben Vigoda - TWiML Talk #33
Jul 05, 2017
Video Object Detection At Scale with Reza Zadeh - TWiML Talk #34
Jul 05, 2017
Enhancing Customer Experiences With Emotional AI with Rana El Kaliouby - TWiML Talk #35
Jul 05, 2017
Natural Language Understanding for Amazon Alexa with Zornitsa Kozareva - TWiML Talk #30
Jun 29, 2017
Robotic Perception and Control with Chelsea Finn - TWiML Talk #29
Jun 23, 2017
Reinforcement Learning Deep Dive with Pieter Abbeel - TWiML Talk #28
Jun 17, 2017
Intelligent Autonomous Robots with Ilia Baranov - TWiML Talk #27
Jun 09, 2017
Global AI Trends with Ben Lorica - TWiML Talk #26
Jun 02, 2017
Offensive vs Defensive Data Science with Deep Varma - TWiML Talk #25
May 26, 2017
Reinforcement Learning: The Next Frontier of Gaming with Danny Lange - TWiML Talk #24
May 20, 2017
Integrating Psycholinguistics into AI with Dominique Simmons - TWiML Talk #23
May 12, 2017
Deep Neural Nets for Visual Recognition with Matt Zeiler - TWiML Talk #22
May 05, 2017
Engineering the Future of AI with Ruchir Puri - TWiML Talk #21
Apr 28, 2017
Selling AI to the Enterprise with Kathryn Hume - TWiML Talk #20
Apr 21, 2017
From Particle Physics to Audio AI with Scott Stephenson - TWiML Talk #19
Apr 14, 2017
(5/5) AlphaVertex - Creating a Worldwide Financial Knowledge Graph - TWiML Talk #18
Apr 07, 2017
(4/5) Behold.ai - Increasing Efficiency of Healthcare Insurance Billing with NLP - TWiML Talk #18
Apr 07, 2017
(3/5) Cambrian Intelligence - Using AI to Simplify the Programming of Robots - TWiML Talk #18
Apr 07, 2017
(2/5) Klustera - Location-Based Intelligence for Smarter Marketing - TWiML Talk #18
Apr 07, 2017
(1/5) HelloVera - AI-Powered Customer Support - TWiML Talk #18
Apr 07, 2017
Interactive Machine Learning Systems with Alekh Agarwal - TWiML Talk #17
Mar 31, 2017
Machine Learning in Cybersecurity with Evan Wright - TWiML Talk #16
Mar 24, 2017
Domain Knowledge in Machine Learning Models for Sustainability with Stefano Ermon - TWiML Talk #15
Mar 17, 2017
Scaling Deep Learning: Systems Challenges & More with Shubho Sengupta — TWiML Talk #14
Mar 10, 2017
Understanding Deep Neural Nets with Dr. James McCaffrey - TWiML Talk #13
Mar 03, 2017
Brendan Frey - Reprogramming the Human Genome with AI - TWiML Talk #12
Feb 24, 2017
Hilary Mason - Building AI Products - TWiML Talk #11
Jan 25, 2017
Francisco Webber - Statistics vs Semantics for Natural Language Processing - TWiML Talk #10
Dec 03, 2016
Pascale Fung - Emotional AI: Teaching Computers Empathy - TWiML Talk #9
Nov 08, 2016
Diogo Almeida - Deep Learning: Modular in Theory, Inflexible in Practice - TWiML Talk #8
Oct 23, 2016
Carlos Guestrin - Explaining the Predictions of Machine Learning Models - TWiML Talk #7
Oct 09, 2016
Angie Hugeback - Generating Training Data for Your ML Models - TWiML Talk #6
Sep 29, 2016
Joshua Bloom - Machine Learning for the Stars & Productizing AI - TWiML Talk #5
Sep 22, 2016
Charles Isbell - Interactive AI, Plus Improving ML Education - TWiML Talk #4
Sep 10, 2016
Xavier Amatriain - Engineering Practical Machine Learning Systems - TWiML Talk #3
Aug 28, 2016
Siraj Raval - How to Build Confidence as an ML Developer - TWiML Talk #2
Aug 21, 2016
This Week in ML & AI – 8/12/16: Another huge machine learning acquisition + AI in the Olympics
Aug 15, 2016
This Week in ML & AI – 8/5/16: Apple Acquires Turi, the DARPA Hacker-Bot Challenge and More
Aug 06, 2016
Clare Corthell - Open Source Data Science Masters, Hybrid AI, Algorithmic Ethics - TWiML Talk #1
Jul 31, 2016
This Week in ML & AI - 7/22/16: ML to Optimize Datacenters, Crazy New GPU from NVIDIA, Faster RNNs
Jul 24, 2016
This Week in ML & AI - 7/15/16: A Wingman AI for Pokémon Go and Wide & Deep Learning at Google
Jul 17, 2016
This Week in ML & AI - 7/8/16: A BS Meter for AI, Retrieval Models for Chatbots & Predatory Robots
Jul 10, 2016
This Week in ML & AI - 7/1/16: Fatal Tesla Autopilot Crash, EU Outlawing Machine Learning & CVPR
Jul 03, 2016
This Week in ML & AI - 6/24/16: Dueling Neural Networks at ICML, Plus Training a Robotic Housekeeper
Jun 25, 2016
This Week in Machine Learning & AI - 6/17/16: Apple's New ML APIs, IBM Brings Deep Learning Thunder
Jun 18, 2016
This Week In Machine Learning & AI - 6/10/16: Self-Motivated AI, Plus A Kill-Switch for Rogue Bots
Jun 11, 2016
This Week In Machine Learning & AI - 6/3/16: Facebook's DeepText, ML & Art, Artificial Assistants
Jun 04, 2016
This Week In Machine Learning & AI - 5/27/16: The White House on AI & Aggressive Self-Driving Cars
May 28, 2016
This Week In Machine Learning & AI - 5/20/16: AI at Google I/O, Amazon's Deep Learning DSSTNE
May 21, 2016