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
39 snips
Dec 29, 2022 • 41min
Reinforcement Learning for Personalization at Spotify with Tony Jebara - #609
Tony Jebara, VP of Engineering and Head of Machine Learning at Spotify, shares insights on how the platform evolves its personalization strategies through reinforcement learning. He explains the balance between immediate rewards and long-term user engagement, emphasizing the importance of Lifetime Value (LTV) in enhancing subscription retention. Jebara discusses innovative approaches in user behavior modeling, using coin and dice analogies to illustrate preferences. Learn how Spotify is transforming recommendations to create a richer user experience!
24 snips
Dec 26, 2022 • 37min
Will ChatGPT take my job? - #608
In this intriguing conversation with ChatGPT, a groundbreaking AI language model from OpenAI, the discussion dives into the pressing question of whether AI will take our jobs. ChatGPT explores its own capabilities in conversational context, revealing both opportunities and challenges for the workforce. The model discusses how it interprets human emotions and the nuances of effective communication, while also reflecting on the irreplaceable human touch in interviews. Finally, listeners are left to ponder the future role of AI in their careers.
Dec 22, 2022 • 37min
Geospatial Machine Learning at AWS with Kumar Chellapilla - #607
Join Kumar Chellapilla, General Manager of ML and AI Services at AWS, as he delves into the exciting world of geospatial machine learning. He discusses the recent integration of geospatial data in SageMaker and its potential to revolutionize industries like agriculture and automotive. Kumar highlights how satellite imagery can enhance economic predictions and addresses challenges in data accessibility. He also forecasts the future of geospatial data, including intriguing intersections with generative models and digital twins.
16 snips
Dec 19, 2022 • 44min
Real-Time ML Workflows at Capital One with Disha Singla - #606
Disha Singla, Senior Director of Machine Learning Engineering at Capital One, leads efforts to democratize ML across the company. She discusses the creation of reusable workflows and libraries designed for citizen data scientists, enabling quicker decision-making. The conversation dives into the implementation of real-time ML, balancing the need for speed in insights with regulatory compliance. Disha also shares strategies for securing executive buy-in by demonstrating ROI and emphasizes the importance of rigorous testing and observability in ML models.
18 snips
Dec 15, 2022 • 47min
Weakly Supervised Causal Representation Learning with Johann Brehmer - #605
Join Johann Brehmer, a research scientist at Qualcomm AI Research, as he dives into the intriguing world of causal representation learning. He shares insights from his work, emphasizing how high-level causal representations can be identified in weakly supervised environments. They discuss the implications of causality in machine learning, including advancements in autonomous driving and the challenges faced in achieving reliable systems. Brehmer also highlights innovative methodologies and new frameworks for optimizing neural networks and understanding complex causal mechanisms.
22 snips
Dec 12, 2022 • 43min
Stable Diffusion & Generative AI with Emad Mostaque - #604
Emad Mostaque, Founder and CEO of Stability AI, shares the fascinating story behind Stability's creation and the impact of Stable Diffusion. He discusses how generative AI is poised to disrupt industries like gaming and film by revolutionizing content production. Emad dives into the ethical implications of AI, emphasizing user safety and artist attribution. He also explores innovations in AI-assisted design and the importance of open-source models. The conversation highlights partnerships that enhance AI deployment and the challenges of training AI models efficiently.
25 snips
Dec 8, 2022 • 37min
Exploring Large Language Models with ChatGPT - #603
In a captivating dialogue with ChatGPT, the AI marvel from OpenAI, listeners delve into the world of large language models. ChatGPT reveals its impressive capabilities in generating human-like responses and discusses its training through supervised learning and PPO. Key topics include the importance of prompt engineering, the risks of misuse, and the fascinating use of AI in artistic creation. The conversation also touches on the challenges of bias and fairness in AI, leaving audiences with insights into the future of machine learning.
11 snips
Dec 5, 2022 • 57min
Accelerating Intelligence with AI-Generating Algorithms with Jeff Clune - #602
In this insightful conversation, Jeff Clune, an Associate Professor at the University of British Columbia and a leading mind at the Vector Institute, discusses his pioneering research on AI-generating algorithms and the quest for artificial general intelligence (AGI). He shares the three pillars for achieving this goal—meta-learning architectures, algorithms, and auto-generating environments. The dialogue also tackles the ethical implications of evolving AI, the importance of safety measures, and innovative teaching techniques that could redefine AI learning in real-world applications.
Nov 28, 2022 • 55min
Programmatic Labeling and Data Scaling for Autonomous Commercial Aviation with Cedric Cocaud - #601
Cedric Cocaud, Chief Engineer of the Wayfinder Group at Acubed, shares insights into the future of autonomous commercial aviation. He discusses the challenges of data labeling and the transition to automated processes in air taxi development. Cedric highlights the importance of synthetic data in enhancing machine learning models and the complexities of integrating these innovations safely. The conversation also delves into the unique challenges of autonomous aviation compared to self-driving cars, showcasing the exciting intersection of aerospace engineering and cutting-edge AI.
6 snips
Nov 21, 2022 • 44min
Engineering Production NLP Systems at T-Mobile with Heather Nolis - #600
In this conversation, Heather Nolis, a principal machine learning engineer at T-Mobile, shares her journey from neuroscience to machine learning. She discusses the challenges of deploying real-time deep learning models for customer support, focusing on supervised learning and the creation of customer intent models. Heather highlights the balance between small and large models, technical hurdles in speech recognition, and the importance of data quality. She also looks ahead to the future of NLP, exploring innovative applications in customer service and beyond.
