Pose Tracking

Ekaterina (Kat) Fedorova from MIT EECS joins us to discuss strategic learning in recommender systems—what happens when users collectively coordinate to game recommendation algorithms. Kat's research reveals surprising findings: algorithmic "protest movements" can paradoxically he ...  Afficher plus

Anas Buhayh discusses multi-stakeholder fairness in recommender systems and the S'mores framework—a simulation allowing users to choose between mainstream and niche algorithms. His research shows specialized recommenders improve utility for niche users while raising questions abo ...  Afficher plus

In this episode, we explore groundbreaking research where scientists have trained a neural network to identify signs of fatigue in PC users through video analysis. Learn how this technology could revolutionize workplace productivity and personal well-being by detecting when users ...  Afficher plus

For years, we've heard two major narratives about AI. One predicting the end of human work, the other dismissing it as hype. The truth is more nuanced, and more hopeful.From radiology to software engineering, the pattern repeats: as technology makes tasks cheaper and faster, dema ...  Afficher plus

Are cyborgs now reality? Elon Musk certainly thinks so. His company, Neuralink, has successfully implanted one of its wireless brain chips in a human. Although billed as a breakthrough, they’re not the first to do it. In fact, similar devices have already been implanted, all with ...  Afficher plus

Can AI compress the years long research time of a PhD into seconds? Research scientist Max Jaderberg explores how “AI analogs” simulate real-world lab work with staggering speed and scale, unlocking new insights on protein folding and drug discovery. Drawing on his experience wor ...  Afficher plus