Guiding AI toward better protein design
QB3: UC Berkeley researchers develop new strategy for developing proteins with tailored properties
Artificial intelligence archive
New AI model for DNA learns from evolution to unlock secrets of the human genome
UC Berkeley researchers create new genomic language mode that excels at spotting genetic variants that impact human health
UC Berkeley professor calls for a halt to AI weapons
An urgent warning on autonomous weapons from Stuart Russell — the man who literally wrote the textbook on AI
$20M NSF renewal supports new frontiers in AI and optimization
IEOR faculty are among researchers advancing more scalable, efficient and trustworthy approaches to decision-making in energy systems, supply chains and manufacturing
UC Berkeley computer scientist on the promise and perils of agentic AI
Professor Dawn Song discusses how autonomous AI agents are reshaping technology — and why safety, reliability and democratization must guide their development
New AI modeling approach accelerates the development of advanced materials
Berkeley Lab: Innovative machine learning model can help researchers avoid years of experimental trial and error
Polymer manufacturers gain AI-powered tool to spot defects early
‘Smart eyes’ provide real-time, built-in quality assurance for 3D printing
The nose knows: Electric schnoz can smell when your food’s gone bad
Proof-of-concept device created by UC Berkeley researchers can sniff out gases emitted by harmful bacteria, allergens and other food safety hazards
The art of grasping
Redefining robot manipulation with creativity and code
Ph.D. student develops next-gen electronic nose
Carla Bassil’s machine learning-assisted device could improve food safety and human health
Researchers teach AI to spot cancer risk by squeezing individual breast cells
UC Berkeley and City of Hope scientists discover that a cell’s mechanical age can effectively signal cancer risk
UC Berkeley and UCSF researchers are using AI to revolutionize medical imaging
EECS professor Adam Yala’s startup strives to make medical imaging more efficient — and more effective
Developing a safer, more efficient autonomous robot
Berkeley engineer Negar Mehr envisions a future where robot assistants are commonplace, from our homes to deep space
New AI sensor ‘sniffs’ out spectral targets
Berkeley Lab: First-of-its-kind smart sensor performs AI tricks to identify targets while it captures spectral images
UC Berkeley professors explore new ways to integrate AI in engineering courses
Initiative seeks to drive innovation in undergraduate education