The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Sam Charrington
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.
Episodes
Mentioned books
20 snips
Mar 6, 2023 • 53min
Robotic Dexterity and Collaboration with Monroe Kennedy III - #619
Monroe Kennedy III, an assistant professor at Stanford and director of the Assistive Robotics Lab, discusses the evolving landscape of robotics. He dives into the complexities of robotic dexterity, emphasizing its potential for human assistance. Kennedy also explores collaborative robotics, detailing how machines can effectively partner with humans. Notably, he highlights DenseTact, a groundbreaking sensor that enhances tactile capabilities. The conversation touches on the future of robotics in healthcare and the importance of trust in human-robot teamwork.
14 snips
Feb 27, 2023 • 43min
Privacy and Security for Stable Diffusion and LLMs with Nicholas Carlini - #618
In this discussion, Nicholas Carlini, a research scientist at Google Brain known for his work at the crossroads of machine learning and computer security, dives deep into pressing issues of privacy and security in AI. He explores the vulnerabilities of large models like stable diffusion, particularly the risks of data extraction and adversarial attacks. The conversation also touches on model memorization versus generalization, revealing surprising insights on how these models handle training data. Additionally, Carlini discusses data poisoning and its implications in safeguarding model integrity.
6 snips
Feb 20, 2023 • 31min
Understanding AI’s Impact on Social Disparities with Vinodkumar Prabhakaran - #617
Vinodkumar Prabhakaran, a Senior Research Scientist at Google Research, delves into the intersection of AI and social disparities. He explores how machine learning, particularly natural language processing, can reveal biases in police-community interactions and employee communications. The discussion highlights the importance of collaboration between data and social scientists to address these issues. Vinod also shares insights on ensuring fairness in AI model building, emphasizing the complexities of annotating human data and the need for diverse perspectives to enhance accountability.
33 snips
Feb 14, 2023 • 1h 22min
AI Trends 2023: Causality and the Impact on Large Language Models with Robert Osazuwa Ness - #616
Robert Osazuwa Ness, a senior researcher at Microsoft and professor at Northeastern University, dives into exciting trends in causal modeling. He highlights advances in causal discovery and its implications for drug discovery and healthcare. The conversation delves into the significance of causality in large language models, exploring how these models can enhance reasoning about cause and effect. Ness also discusses innovative applications like SayCan, which transforms verbal commands into robotic actions, merging AI with practical tasks.
Feb 6, 2023 • 33min
Data-Centric Zero-Shot Learning for Precision Agriculture with Dimitris Zermas - #615
Dimitris Zermas, principal scientist at Sentera, shares insights on leveraging machine learning for precision agriculture. He discusses innovative tools like drones and cameras that enhance crop management. The conversation delves into challenges with plant counting and data imbalance, while also unveiling the power of zero-shot learning for efficient data use. Dimitris emphasizes a data-centric approach, detailing how strategic data selection can significantly reduce annotation time and costs, reshaping approaches in agricultural technology.
31 snips
Jan 30, 2023 • 1h 2min
How LLMs and Generative AI are Revolutionizing AI for Science with Anima Anandkumar - #614
Anima Anandkumar, Bren Professor at Caltech and Sr. Director of AI Research at NVIDIA, discusses how generative AI is reshaping scientific discovery. She highlights breakthrough developments in protein folding and drug design, emphasizing AlphaFold's impact. The conversation moves to neural operators enhancing simulations and AI's role in weather forecasting. Anandkumar also introduces MineDojo, a unique Minecraft framework that advances embodied AI research, showcasing its potential for innovation and decision-making.
128 snips
Jan 23, 2023 • 1h 46min
AI Trends 2023: Natural Language Proc - ChatGPT, GPT-4 and Cutting Edge Research with Sameer Singh - #613
In a fascinating discussion, Sameer Singh, an NLP expert and associate professor at UC Irvine, dives into the whirlwind world of AI advancements. He unpacks the transformative impact of ChatGPT and large language models, highlighting the importance of structured reasoning and clean data. Sameer also critiques the Galactica model with a nod to the public's expectations, explores practical uses like Copilot, and shares predictions for AI trends in 2023. His insights shed light on the evolving landscape of voice assistants and the intricate relationship between AI and search.
27 snips
Jan 16, 2023 • 60min
AI Trends 2023: Reinforcement Learning - RLHF, Robotic Pre-Training, and Offline RL with Sergey Levine - #612
Sergey Levine, an associate professor at UC Berkeley, dives into cutting-edge advancements in reinforcement learning. He explores the impact of RLHF on language models and discusses innovations in offline RL and robotics. They also examine how language models can enhance diplomatic strategies and tackle ethical concerns. Sergey sheds light on manipulation in RL, the challenges of integrating robots with language models, and offers exciting predictions for 2023's developments. This is a must-listen for anyone interested in the future of AI!
Jan 9, 2023 • 1h 6min
Supporting Food Security in Africa Using ML with Catherine Nakalembe - #611
Catherine Nakalembe, an Associate Research Professor at the University of Maryland and Africa Program Director at NASA Harvest, discusses her work on food security in Africa through machine learning and satellite data. She highlights the critical challenges of food insecurity exacerbated by climate change and the COVID-19 pandemic. Catherine delves into innovative techniques like multi-task learning for crop mapping and emphasizes the importance of improving access to remote sensing data. Collaborations and local initiatives are vital for enhancing agricultural productivity and sustainability.
Jan 2, 2023 • 39min
Service Cards and ML Governance with Michael Kearns - #610
In a fascinating discussion, Michael Kearns, a UPenn professor and Amazon Scholar, delves into the vital topics of AI governance and fairness. He describes the innovative service cards introduced at Amazon, emphasizing their holistic approach compared to traditional model cards. Kearns also tackles the ongoing debate surrounding algorithmic versus dataset bias, reflecting on current challenges in fairness within large language models. His insights shed light on the importance of responsibly addressing these issues in AI development.
