Student engineers named UC Berkeley Climate Innovation fellows by CITRIS
CITRIS: Rising entrepreneurs Youngseok Jo and Bear Häon will receive $10,000 each to advance innovative projects that address urgent environmental challenges
Artificial intelligence archive
Using AI to get people out of their cars and into HOVs
HumanLight traffic signal technology incentivizes ridesharing
Is robotics about to have its own ChatGPT moment?
MIT Technology Review: Researchers are using generative AI, other techniques to teach robots new skills — including tasks they could perform in homes
EECS professor Hany Farid and I School Ph.D. students featured on PBS Nova
School of Information: The episode, “A.I. Revolution,” covers the dangers of deepfakes — and how easily they can be created
Francisca Vasconcelos chosen as Paul and Daisy Soros New American fellow
CDSS: EECS doctoral student to receive up to $90,000 through merit-based program for immigrants, children of immigrants
How to keep AI from killing us all
UC Berkeley researchers: Companies should not be allowed to create advanced AI systems until they can prove they are safe
How scientists are accelerating chemistry discoveries with automation
Berkeley Lab: New statistical-modeling workflow, developed by MSE professor Kristin Persson’s group, may help advance drug discovery and synthetic chemistry
UC Berkeley summit tackles AI governance, trust, ethical tech
School of Information: Computer scientists Stuart Russell and Deborah Raji discuss European Union AI Act
Watch this robot as it learns to stitch up wounds
MIT Technology Review: Berkeley researchers’ AI-trained surgical robot was able to sew six stitches on its own — and has lessons for robotics as a whole
EECS professor named Schmidt Sciences AI2050 Early Career Fellow
CDSS: Nika Haghtalab among cohort that will conduct ambitious artificial intelligence research to benefit society
Human-sized robot taught itself to walk and balance, then strolled Berkeley’s streets
SFGATE: Berkeley researchers used billions of simulations and reinforcement learning to teach the robot how to move
Disinformation nation: What can we do to crack the code?
Berkeley researchers “probe the corrosive effects of algorithms, machine learning and other exotic technologies” and offer possible solutions
Researchers develop design tool to optimize quantum optics circuits in silicon
New machine learning-based optimization method for nonlinear and quantum optics may open the door to large-scale communication and quantum computing applications
How to use AI for discovery — without leading science astray
Berkeley researchers present new statistical technique for safely using predictions obtained from machine learning models to test scientific hypotheses
Simons Institute for the Theory of Computing receives $25M matching pledge
Simons Institute: Gift from SFI will help support ongoing innovation and research into theoretical computing