Carney Institute for Brain Science
Center for Computational Brain Science

News

Latest news and upcoming events from the Center for Computational Brain Science.

Recent News

U.S. National Science Foundation

Training AI to see more like humans

Researchers in the Serre lab are teaching AI to see more like humans, opening doors to more accurate AI solutions.
January 21, 2025 News from Carney

Community Spotlight: Jay Gopal

Jay Gopal is enrolled in Brown’s Program in Liberal Medical Education, which combines undergraduate and medical school education. A researcher in the Serre Lab, Gopal is creating human-aligned deep neural networks and leading the design and development of ClickMe, an object recognition game with thousands of online users who are creating a massive AI training set. He is also co-founder of a medical software startup.
December 16, 2024 News from Carney

Community Spotlight: Ellie Pavlick

Ellie Pavlick is the associate chair of the Department of Computer Science, and a Carney collaborator on artificial intelligence projects that involve natural language processing - a technology that makes chatbots possible. How language works, in humans and machines, is Pavlick's central scientific fascination.
November 26, 2024 News from Carney

NeuroAI: Better AI through brain science

Carney Institute affiliate Carina Curto served as a presenter and panelist at the recent BRAIN NeuroAI Workshop, making a case for using the fundamental principles of neuroscience to build better deep neural networks that run artificial intelligence systems.
October 31, 2024 News from Carney

Explainable AI busts open black boxes

Deep neural networks are computer models that drive today’s artificial intelligence technologies. Unpacking what’s inside these models is the focus of a growing field of research known as explainability or XAI. Explainability demystifies AI by revealing how a deep neural network model has learned to solve a given task.