News

The well-earned doctorate reflects Dr. Chakravarthula's novel contributions to understanding the connection between how we look at faces and how the brain encodes them

Which features do we use to guide our precision eye movements to faces, and do different task demands recruit different features and gaze strategies?

The findings show how the brain represents object-scene size relationships and may explain why humans often miss objects of atypical scene-relative size during visual search

The 2021 Mind and Machine Intelligence Annual Summit, held June 1–3, looks at the state-of-the-art of AI in healthcare and the ways in which AI can be used/misused in this setting

The work mutually improves our understanding of how the computational processes mediating artificial intelligence (AI) compare to those employed by humans for common and important real-world tasks

The work improves our understanding of how errors not made in 2D search can arise in visual search of 3D image spaces

The study shows how context increases target-related neural activity during visual search

The lectures will explore both the benefits and the potential malicious or unintended consequences of AI in healthcare

The work will focus on how visual adaptation may facilitate the reading of breast cancer screening image batches.

Studies will be split between UCSB, led by Matt Peterson (Co-PI) and Miguel Eckstein (Faculty), and Dartmouth, led by Brad Duchaine (PI).