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When We Talk to AI, What Are We Talking To?

NYU professor gives the inaugural Sarah Douglas Lecture on Philosophy and Artificial Intelligence at UC Berkeley.

The new Berkeley-UCSF partnership will accelerating advances in clinical care by combining computing and medicine.

Berkeley professor uses machine learning and AI to solve the world's biggest global development challenges.

New technology allows 3D printers to detect moisture damage in real time, saving lots of money and time.

A UC Berkeley-led project trained an AI system to detect cardiac risk from reading EKGs.

High-resolution microscopes are generating images of cells and embryos to train an biological AI models.

Berkeley professor applies data-driven analysis to human artistic output — often with surprising results.

The new state-of-the-art facility will promote cross-collaboration and accelerate AI-driven discovery.

UC Berkeley and City of Hope scientists discover that a cell's mechanical age can effectively signal cancer risk.

UC Berkeley developmental psychologist analyzes the intellectual advancement of AI.

A startup strives to make medical imaging more efficient — and more effective.

Berkeley EECS professor is recognized for developing systems that have powered machine learning and AI at a global scale.