Tag: Artificial Intelligence
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Auto industry deadlines loom for impaired-driver detection tech, U-M offers a low-cost solution
Current technologies already in use could help prevent crashes and deaths linked to impaired driving.
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Widely used AI tool for early sepsis detection may be cribbing doctors’ suspicions
When using only data collected before patients with sepsis received treatments or medical tests, the model’s accuracy was no better than a coin toss.
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Clinicians could be fooled by biased AI, despite explanations
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.
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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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Building a chemical ‘GPT’ to help design a key battery component
Taking inspiration from the word-predicting large language models, a U-M team is kickstarting an atom-predicting model with 200,000 node hours on Argonne’s Polaris.
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Choosing exoskeleton settings like a Pandora radio station
Using a simple and convenient touchscreen interface, the algorithm learns the assistance preferences of the wearer.
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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.