Michigan Engineering | University of Michigan Using a simple and convenient touchscreen interface, the algorithm learns the assistance preferences of the wearer.
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Choosing exoskeleton settings like a Pandora radio station
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Toyota Research Institute and Michigan Engineering discuss importance of long-standing partnership
As the auto industry expands beyond transportation, university collaborations are more important than ever.
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Senate testimony: AI risks to the financial sector
U-M professor of computer science and engineering identifies new concerns that recent AI advances pose for financial markets.
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AI tool helps optimize antibody medicines
Machine learning points out why antibodies fail to stay on target, binding to molecules that aren’t markers of disease—and suggests better designs.
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Nanobiotics: AI for discovering where and how nanoparticles bind with proteins
A new tool in the fight against superbugs goes beyond protein folding simulations like AlphaFold, potentially revealing antibiotic candidates.
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AI could run a million microbial experiments per year
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.
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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.
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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.
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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.
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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.
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