Category: Artificial Intelligence
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Generative AI uses more energy on non-English text
Models can use up to 15 times more energy to process and generate text in some of the world’s most widely spoken languages, often with lower-quality output.
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Navigating AI in transportation: New national research consortium aims to guide agencies
Three leading transportation research institutes are joining forces with agencies, universities, industry and the public so no one in transportation has to figure out AI alone.
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Optimizing AI energy consumption throughout its entire lifecycle
Funded with $1.83M from DARPA, University of Michigan Engineering leads a project that aims to cut AI’s energy needs by up to half.
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Beyond transistor limits: Hybrid magnetic-sound waves could boost computing speed and efficiency
An alternative to the transistor, made with multiferroic materials, could make computers up to 1,000 times faster and more energy-efficient.
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AI training energy reduced up to 50% with U-M software
NVIDIA, the world’s leading AI computing company, is evaluating how to add the energy-saving software to its open-source training platform.
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Helping AI recognize human intent and recover from mistakes
Researchers are helping AI better recognize human intent and recover from misunderstandings, improving safety, efficiency and trust.
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HydroGym trains, assesses AI for actively controlling fluid dynamics
With more than 60 environments, the simulated proving ground aims to speed the development of AI controllers that optimize drag, lift, noise and heat management.
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New AI+ Engineering master’s programs and certificate launches on-campus and online
Enrollment opens for 12-credit and 30-credit programs for applied AI skills in seven engineering concentrations.
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Robots and AI to help shipbuilding stay on track
American and Japanese researchers will develop robots and AI to help shipbuilders pivot when the built ship deviates from the planned design.
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AI helps instructors give better feedback but can’t replace them
A randomized trial in a large economics course found that AI-mediated feedback improved students’ revisions when teaching assistants stayed in control.
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A hardware-software co-design to efficiently run AI on edge devices
Adjusting state space models to work with a compute-in-memory architecture demonstrated energy-efficient processing of continuous event sequences.
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How to improve AI energy efficiency with open-source tools: Q&A with Mosharaf Chowdhury
Any company could use our tools to measure and optimize their AI models and reduce AI energy use.