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
6 snips
Nov 4, 2021 • 43min
Building Blocks of Machine Learning at LEGO with Francesc Joan Riera - #533
Francesc Joan Riera, an applied machine learning engineer at LEGO, dives into the intricacies of machine learning within the company. He discusses innovative content moderation techniques tailored for child safety. Riera also shares insights about integrating human feedback with algorithms and implementing a serverless A-B testing framework using AWS. He highlights the importance of efficient data management strategies and the evolution of machine learning infrastructure, ultimately aiming to enhance user engagement through theme detection in LEGO apps.
Nov 1, 2021 • 40min
Exploring the FastAI Tooling Ecosystem with Hamel Husain - #532
Hamel Husain, a Staff Machine Learning Engineer at GitHub, has contributed to pivotal open-source projects like FastAI and nbdev. He shares insights from his journey through Silicon Valley and discusses the ML tooling gaps he encountered. The conversation highlights innovative tools like MBDev that integrate coding and documentation, while also exploring how FastAI enhances data science workflows. Hamel expresses excitement for future ML tools and the seamless automation capabilities of GitHub Actions, promising a more efficient coding experience.
Oct 28, 2021 • 38min
Multi-task Learning for Melanoma Detection with Julianna Ianni - #531
Julianna Ianni, VP of AI Research & Development at Proscia, discusses groundbreaking advancements in using deep learning for melanoma detection. She highlights the development of a multitask classifier, improving accuracy in distinguishing low-risk from high-risk cases. Julianna also elaborates on the challenges of achieving consensus among pathologists and the complexities of training AI to handle image artifacts. As AI transforms cancer diagnostics, she shares insights into the promising future for integrating these technologies into clinical practices.
5 snips
Oct 26, 2021 • 45min
House Hunters: Machine Learning at Redfin with Akshat Kaul - #530
In this engaging discussion, Akshat Kaul, Head of Data Science and Machine Learning at Redfin, shares his expertise in leveraging machine learning to transform the real estate industry. He delves into the evolution of Redfin’s ML capabilities, emphasizing innovative applications like price estimation and property recommendations. Akshat also introduces Redeye, their internal platform for modeling, and discusses how cloud services are reshaping their ML deployment. Additionally, he reflects on how the pandemic has influenced buyer behavior and future ML strategies.
9 snips
Oct 21, 2021 • 47min
Attacking Malware with Adversarial Machine Learning, w/ Edward Raff - #529
Edward Raff, Chief Scientist at Booz Allen Hamilton, dives deep into the interface of machine learning and cybersecurity, focusing on malware detection. He discusses the evolution of adversarial ML and insights from his recent paper on adversarial transfer attacks. Edward highlights the unique challenges malware poses and the ethical implications of adversarial strategies. The conversation also explores innovative techniques like graph neural networks and the future directions for enhancing malicious software detection. A fascinating look at the tech battle between defenders and attackers!
Oct 18, 2021 • 37min
Learning to Ponder: Memory in Deep Neural Networks with Andrea Banino - #528
Andrea Banino, a research scientist at DeepMind, dives into the fascinating world of artificial general intelligence and episodic memory. He discusses how past experiences shape intelligent behavior and the challenges of integrating memory into neural networks. The conversation highlights his innovative work on PonderNet, a model that optimizes computational resources based on problem complexity. Banino also touches on the importance of grid cells in navigation and the synergy between transformers and reinforcement learning for enhanced performance.
Oct 14, 2021 • 43min
Advancing Deep Reinforcement Learning with NetHack, w/ Tim Rocktäschel - #527
Tim Rocktäschel, a research scientist at Facebook AI Research and associate professor at University College London, dives into the intricate world of training reinforcement learning agents using the complex game NetHack. He discusses the challenges of generalization in simulated environments and the innovative MiniHack framework. The conversation highlights the significance of procedural generation, the intricacies of creating effective scoring systems, and the computational demands for training these advanced AI models. Tim's insights illuminate the future of AI in dynamic settings.
Oct 11, 2021 • 41min
Building Technical Communities at Stack Overflow with Prashanth Chandrasekar - #526
In this engaging conversation, Prashanth Chandrasekar, CEO of Stack Overflow, shares insights into the platform's evolution and impact since 2008. He discusses the significant surge in user engagement during the pandemic, emphasizing the need for adaptability in a hybrid workforce. Prashanth also explores how Stack Overflow leverages AI to enhance community interactions and user experience. Additionally, he highlights strategic partnerships and the platform's role in developer education, offering a glimpse into the future of coding collaboration.
Oct 7, 2021 • 40min
Deep Learning is Eating 5G. Here’s How, w/ Joseph Soriaga - #525
Joseph Soriaga, Senior Director of Technology at Qualcomm, explores the exciting intersection of deep learning and 5G technology. He discusses groundbreaking research on augmenting Kalman filters to enhance model efficiency and interpretability. Moreover, he unveils WiCluster, a method for passive indoor positioning using WiFi, shedding light on how AI can optimize 5G networks. Soriaga also highlights the transformative potential of machine learning in delivering connected services, paving the way for a more efficient and interconnected future.
15 snips
Oct 4, 2021 • 47min
Modeling Human Cognition with RNNs and Curriculum Learning, w/ Kanaka Rajan - #524
Kanaka Rajan, an assistant professor at the Icahn School of Medicine, specializes in merging biology with AI. She discusses her innovative 'lego models' of the brain designed to emulate cognitive functions and memory processes. The conversation dives into the potential of recurrent neural networks (RNNs) in simulating complex learning. Rajan also explains curriculum learning, where tasks gradually increase in complexity, and reflects on the relationship between biological cognition and AI, touching on the challenges of understanding memory and its implications for mental health.
