Michigan Engineering | University of Michigan Regulators pinned their hopes on clinicians being able to spot flaws in explanations of an AI model’s logic, but a study suggests this isn’t a safe approach.
Clinicians could be fooled by biased AI, despite explanations
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Understanding attention in large language models
How do chatbots based on the transformer architecture decide what to pay attention to in a conversation? They’ve made their own machine learning algorithms to tell them.
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Biases in large image-text AI model favor wealthier, Western perspectives
AI model that pairs text, images performs poorly on lower-income or non-Western images, potentially increasing inequality in digital technology representation.
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Nextgen computing: Hard-to-move quasiparticles glide up pyramid edges
Computing with a combination of light and chargeless excitons could beat heat losses and more, but excitons need new modes of transport.
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$18M to advance materials research for quantum computing, sustainable plastics and more
New center builds a campus-wide ecosystem for designing and manufacturing materials of the future at U-M while training a more representative workforce.
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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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Scalable method to manufacture thin film transistors achieves ultra-clean interface for high performance, low-voltage device operation
Led by Prof. Becky Peterson, the research focuses on a category of materials important for low power logic operations, high pixel density screens, touch screens, and haptic displays.
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Six ECE faculty will help shape the future of semiconductors as part of the JUMP 2.0 program
Elaheh Ahmadi, David Blaauw, Michael Flynn, Hun-Seok Kim, Hessam Mahdavifar, and Zhengya Zhang bring their expertise and creativity to this nationwide undertaking in the area of semiconductors and information & communication technologies.
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Open-source hardware: a growing movement to democratize IC design
Dr. Mehdi Saligane, a leader in the open-source chip design community, was among the first researchers to fabricate a successful chip as part of Google’s multi-project wafer program.
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Duraisamy to lead Michigan Institute for Computational Discovery and Engineering
“I am looking forward to working with the incredible talent we have at U-M to expand the frontiers of computational science, and in more firmly establishing the role of computing in solving the grand challenge problems facing humanity.”
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