Machine Learning Street Talk (MLST)
Machine Learning Street Talk (MLST)
"Machine Learning Street Talk (MLST) is your premier audio destination where the complex world of machine learning is broken down into approachable street-level conversations. Hosted by a team of expert practitioners and researchers, MLST dives deep into the latest advancements, theories, and practical applications of machine learning and artificial intelligence. Each episode serves as a gateway to understanding cutting-edge technologies and trends through engaging discussions with leading figures in the field. This podcast not only demystifies the technical jargon but also connects the dots between academic research and real-world applications. Whether you're a seasoned data scientist, an industry professional, or simply a technology enthusiast, MLST offers insightful content that is both informative and accessible. With a rich archive of episodes covering everything from neural networks to quantum computing, MLST is the perfect companion for anyone eager to stay ahead in the rapidly evolving tech landscape."
Episodes
CAN MACHINES REPLACE US? (AI vs Humanity) - Maria Santacaterina
In this thought-provoking episode of Machine Learning Street Talk, Maria Santacaterina and host Tim Scarfe delve deep into the philosophical and practical aspects of AI's capabilities compared to human intelligence. They discuss the limits of AI in capturing the complexity of human life, emotion, and creativity, emphasizing the intrinsic values that define humanity which AI cannot replicate. Through a series of enlightening conversations, the episode dissects various aspects of technology's role in society and its potential to either augment or diminish human experiences.