Hot Topics in Intelligence Research

Swarm robotics investigates how large numbers of relatively simple, autonomous robots can coordinate to complete complex collective tasks. In this lecture, we explore how models of collective behavior can guide the design of such systems. We highlight how modeling collective behavior is not only a tool for understanding natural systems, but a powerful method to

I will present data on a systemic investigation of brains and of grasping behavior in elephants. The analysis of sensory nerves suggests that elephants are extremely tactile animals. In elephants, trunk whisker length is lateralized as a result of heavily lateralized trunk behaviors. The elephant trunk tip appears to be represented by a large cortical

More details to follow. This talk is part of David Mezey's course “Introduction to Modeling Collective Behavior, ” a seminar on collective behavior research, combined with multiple interactive elements.     Photo created with DALL-E by Maria Ott.

It’s a perplexing time in the study of visual perception. On the one hand, there is a resurgence of models that freely posit a priori structure in the visual system, including priors, generative world models, and physics engines. On the other hand, there is the astonishing a posteriori success of deep neural networks trained only

More details to follow.   Bio Jacob Yates (he/him) is an Assistant Professor of Optometry & Vision Science at UC Berkeley and leads the Active Vision and Neural Computation Lab. His research explores how populations of neurons in the cortex and early visual pathways encode the visual world, with a particular focus on how eye movements generate and

More details to follow. This talk is part of David Mezey‘s course “Introduction to Modeling Collective Behavior, ” a seminar on collective behavior research, combined with multiple interactive elements. Photo by Gertrūda Valasevičiūtė on Unsplash.