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

von Sam Charrington

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  1. Decoding Animal Behavior to Train Robots with EgoPet with Amir Bar - #692

    Today, we're joined by Amir Bar, a PhD candidate at Tel Aviv University and UC Berkeley to discuss his research on visual-based learning, including his recent paper, “EgoPet: Egomotion and Interaction Data from an Animal’s Perspective (http

  2. How Microsoft Scales Testing and Safety for Generative AI with Sarah Bird - #691

    Today, we're joined by Sarah Bird, chief product officer of responsible AI at Microsoft. We discuss the testing and evaluation techniques Microsoft applies to ensure safe deployment and use of generative AI, large language models, and image

  3. Long Context Language Models and their Biological Applications with Eric Nguyen - #690

    Today, we're joined by Eric Nguyen, PhD student at Stanford University. In our conversation, we explore his research on long context foundation models and their application to biology particularly Hyena (https://hazyresearch.stanford.edu/bl

  4. Accelerating Sustainability with AI with Andres Ravinet - #689

    Today, we're joined by Andres Ravinet, sustainability global black belt at Microsoft, to discuss the role of AI in sustainability. We explore real-world use cases where AI-driven solutions are leveraged to help tackle environmental and soci

  5. Gen AI at the Edge: Qualcomm AI Research at CVPR 2024 with Fatih Porikli - #688

    Today we’re joined by Fatih Porikli, senior director of technology at Qualcomm AI Research. In our conversation, we covered several of the Qualcomm team’s 16 accepted main track and workshop papers at this year’s CVPR conference. The papers

  6. Energy Star Ratings for AI Models with Sasha Luccioni - #687

    Today, we're joined by Sasha Luccioni, AI and Climate lead at Hugging Face, to discuss the environmental impact of AI models. We dig into her recent research into the relative energy consumption of general purpose pre-trained models vs. tas

  7. Language Understanding and LLMs with Christopher Manning - #686

    Today, we're joined by Christopher Manning, the Thomas M. Siebel professor in Machine Learning at Stanford University and a recent recipient of the 2024 IEEE John von Neumann medal. In our conversation with Chris, we discuss his contributio

  8. Chronos: Learning the Language of Time Series with Abdul Fatir Ansari - #685

    Today we're joined by Abdul Fatir Ansari, a machine learning scientist at AWS AI Labs in Berlin, to discuss his paper, "Chronos: Learning the Language of Time Series (https://arxiv.org/abs/2403.07815)." Fatir explains the challenges of leve

  9. Powering AI with the World's Largest Computer Chip with Joel Hestness - #684

    Today we're joined by Joel Hestness, principal research scientist and lead of the core machine learning team at Cerebras. We discuss Cerebras’ custom silicon for machine learning, Wafer Scale Engine 3, and how the latest version of the comp

  10. AI for Power & Energy with Laurent Boinot - #683

    Today we're joined by Laurent Boinot, power and utilities lead for the Americas at Microsoft, to discuss the intersection of AI and energy infrastructure. We discuss the many challenges faced by current power systems in North America and th

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