Tag: Artificial Intelligence
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$7.5M MURI to make dynamic AI smarter and safer
Researchers from four U.S. institutions aim to pull the best from control theory and machine learning to build safer mobile, intelligent systems.
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Before we put $100 billion in AI
An op-ed on developing artificial intelligence to serve the common good by Chad Jenkins.
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$5.2M for digital twins of nuclear reactors could bring down nuclear energy costs
Virtual copies of nuclear reactors could enable smarter maintenance for current reactors and more automation for advanced reactors.
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World’s most complex synthetic microparticle outdoes nature’s intricacy
Creating and measuring intricacy in particles that could improve electronics and chemical reactions.
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Deep learning AI discovers surprising new antibiotics
Deep-learning AI will help keep us ahead of drug resistant pathogens. By Sriram Chandrasekaran
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How an AI solution can design new tuberculosis drug regimens
A new method could replace trial and error drug development.
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What humans want, in an automated car
U-M researchers examined how a person’s perception of safety in an autonomous vehicle was influenced by its “personality” traits.
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How Russia’s online censorship could jeopardize internet freedom worldwide
The nation is using inexpensive commodity equipment to block 170K domains on more than 1K privately-owned ISPs.
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First programmable memristor computer aims to bring AI processing down from the cloud
Circuit elements that store information in their electrical resistances enable a brain-like form of computing, storing and processing information in the same place.
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Advancing AI for Video: Startup launches powerful video processing platform
Voxel51 uses AI processing to identify and track objects and activities through video clips.
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U-M’s Automotive Research Center funded with $50M through 2024
With a focus on autonomy, ARC’s research will reduce the number of soldiers in harm’s way, changing the military paradigm.
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‘Air traffic control’ for driverless cars could speed up deployment
Human-generated responses could remotely assist autonomous vehicles decision’s during times of uncertainty.