episode-header-image

Oct 2023

38 m

Agents with Theory of Mind Play Hanabi

About this episode

Nieves Montes, a Ph.D. student at the Artificial Intelligence Research Institute in Barcelona, Spain, joins us. Her PhD research revolves around value-based reasoning in relation to norms. She shares her latest study, Combining theory of mind and abductive reasoning in agent‑oriented programming.

Up next

Sustainable Recommender Systems for Tourism

In this episode, we speak with Ashmi Banerjee, a doctoral candidate at the Technical University of Munich, about her pioneering research on AI-powered recommender systems in tourism. Ashmi illuminates how these systems can address exposure bias while promoting more sustainable to ... Show More

Interpretable Real Estate Recommendations

In this episode of Data Skeptic's Recommender Systems series, host Kyle Polich interviews Dr. Kunal Mukherjee, a postdoctoral research associate at Virginia Tech, about the paper "Z-REx: Human-Interpretable GNN Explanations for Real Estate Recommendations" The discussion explores ... Show More

Why Am I Seeing This?

In this episode of Data Skeptic, we explore the challenges of studying social media recommender systems when exposure data isn't accessible. Our guests Sabrina Guidotti, Gregor Donabauer, and Dimitri Ognibene introduce their innovative "recommender neutral user model" for inferri ... Show More

Recommended Episodes

154 - Judith Fan: The wonders of playing with blocks (REAIR)

In this re-air episode from summer 2021 (one of our first!), Anjie chats with Judy Fan, Assistant Professor of Psychology at Stanford University. Judy’s research is at the intersection of computational neuroscience, cognitive science, and artificial intelligence. In this episode, ... Show More

How AI is saving billions of years of human research time | Max Jaderberg

Can AI compress the yearslong 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 work ... Show More

How AI is saving billions of years of human research time | Max Jaderberg

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 ... Show More

Demis Hassabis on AI, Game Theory, Multimodality, and the Nature of Creativity | Possible

How can AI help us understand and master deeply complex systems—from the game Go, which has 10 to the power 170 possible positions a player could pursue, or proteins, which, on average, can fold in 10 to the power 300 possible ways? This week, Reid and Aria are joined by Demis Ha ... Show More

812: The AI Scientist: Towards Fully Automated, Open-Ended Scientific Discovery

In this episode of Five-Minute Friday, Jon Krohn investigates published findings from the startup Sakana AI and its paper’s co-authors from the University of Oxford, the University of British Columbia and the Vector Institute in Toronto. These authors explore the potential of The ... Show More

From AlphaFold to MMseqs2-GPU: How AI is Accelerating Protein Science - Ep. 273

Listen as two leading researchers at the cutting edge of computational biology explore breakthrough GPU accelerations that are changing how we understand life's molecular machinery. Chris Dallago, Research Lead at NVIDIA and Visiting Professor at Duke University, and Martin Stein ... Show More

AI and the Future of Math, with DeepMind’s AlphaProof Team

In this week’s episode of No Priors, Sarah and Elad sit down with the Google DeepMind team behind AlphaProof, a new reinforcement learning-based system for formal math reasoning that recently reached a silver-medal standard in solving International Mathematical Olympiad problems. ... Show More

46. Getting Strategic About Research (feat. Kate Towsey, author of Research that Scales)

As tech layoffs and budget cuts dominate the start of the year, UX teams are navigating a critical challenge: proving the value of research while doing more with less. In this episode, NN/g Director of Research Maria Rosala sits down with ResearchOps pioneer Kate Towsey to explor ... Show More

He Built an AI Football Coach Assistant & Google Maps Algorithm with Petar Veličković #50

Our guest today is Petar Veličković, Staff Research Scientist at Google DeepMind and Affiliated Lecturer at University of Cambridge. In our conversation, we first dive into how Petar got into Graph ML and discuss his most cited paper: Graph Attention Networks. We then dig into De ... Show More

Listen to millions of songs and podcasts on Anghami