Automation uncovers combinations of amino acids that feed two bacterial species and could tell us much more about the 90% of bacteria that humans have hardly studied.
AI could run a million microbial experiments per year
World’s first realistic simulated driving environment based on ‘crash-prone’ Michigan intersection
Real-time data collected at the two-lane roundabout will be used to efficiently test the safety of autonomous vehicles.
Optimization could cut the carbon footprint of AI training by up to 75%
Deep learning models that power giants like TikTok and Amazon, as well as tools like ChatGPT, could save energy without new hardware or infrastructure.
Simulated terrible drivers cut the time and cost of AV testing by a factor of one thousand
New virtual testing environment breaks the ‘curse of rarity’ for autonomous vehicle emergency decision-making.
U-M researchers aim to bring humans back into the loop, as AI use and misuse rises
The study aims to help society, including regulators considering AI safety regulations and organizations considering adopting AI, understand the societal implications of ever-smarter machines.
Nanoscale ferroelectric semiconductor could power AI and post-Moore’s Law computing on a phone
Next-gen computing material gets down to the right size for modern manufacturing.