Category: Artificial Intelligence
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Reinforcement learning for nuclear microreactor control
A machine learning approach outcompetes the industry standard for adjusting power generation to meet demand, especially in imperfect conditions.
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Using GenAI without hindering learning: Students want guidance
At Engineering Education Innovation event, educators shared research, ideas and student perspectives.
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AI isn’t just for computer science anymore: how engineers in every discipline are teaching it
Equipping engineers for a world with AI is more than prompt engineering—many will design neural networks, foundation models and more to help solve problems in their careers.
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A new era in AI health research: A Q&A with Jenna Wiens
A co-director of U-M’s AI & Digital Health Innovation discusses the custom-built digital environment that will power tomorrow’s health AI research.
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AI symposium: Michigan Engineering speakers share how they use AI in research
In addition to making predictions and scientific discoveries, engineers at the MIDAS symposium discussed improving AI’s interpretability and preventing misuse.
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Bridging gaps in rural health care with AI-powered mobile clinics
General practitioners with AI help could make diagnoses, run and interpret tests, and perform procedures like specialists.
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U-Michigan announces most advanced AI research complex with historic Los Alamos alliance
The planned facility for high-performance computing and AI research has secured $100M from the state.
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AI, computation and scientific discovery: A Q&A with Karthik Duraisamy
The director of the Michigan Institute for Computational Discovery and Engineering discusses the institute’s past and future.
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Tool creates transparent, automated machine learning models for nuclear energy
A new tool simplifies machine learning development for nuclear engineers while incorporating model explainability features to help improve transparency.
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Boosting AI model size and training speed with lightwave-connected chips
AI growth is capped by data transfer rates between computing chips, but transferring data with light could remove the ceiling.
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‘Unprecedented’ level of control allows person without use of limbs to operate virtual quadcopter
Brain-computer interface can enable people with paralysis to socialize with others, participate in remote work and enjoy recreational activities.
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Up to 30% of the power used to train AI is wasted. Here’s how to fix it.
Smarter use of processor speeds saves energy without compromising training speed and performance.