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AI chips could get a sense of time
  1. AI chips could get a sense of time

    Timekeeping in the brain is done with neurons that relax at different rates after receiving a signal; now memristors—hardware analogues of neurons—can do that too.

    The post AI chips could get a sense of time appeared first on Michigan Engineering News.

  2. 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.

    The post Auto industry deadlines loom for impaired-driver detection tech, U-M offers a low-cost solution appeared first on Michigan Engineering News.

  3. Improving traffic signal timing with a handful of connected vehicles

    Communities could reduce costs and cut vehicle emissions—all in the name of shortening your trip.

    The post Improving traffic signal timing with a handful of connected vehicles appeared first on Michigan Engineering News.

  4. 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.

    The post Widely used AI tool for early sepsis detection may be cribbing doctors’ suspicions appeared first on Michigan Engineering News.

  5. U-M team receives NIH grant for collaborative research to speed ARDS diagnosis

    University of Michigan researchers examine if molecular compounds in exhaled breath could lead to improved diagnosis and tracking of acute respiratory distress syndrome (ARDS).

    The post U-M team receives NIH grant for collaborative research to speed ARDS diagnosis appeared first on Michigan Engineering News.

  6. 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.

    The post Clinicians could be fooled by biased AI, despite explanations appeared first on Michigan Engineering News.

  7. 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.

    The post Understanding attention in large language models appeared first on Michigan Engineering News.

  8. 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.

    The post Biases in large image-text AI model favor wealthier, Western perspectives appeared first on Michigan Engineering News.

  9. 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.

    The post Nextgen computing: Hard-to-move quasiparticles glide up pyramid edges appeared first on Michigan Engineering News.

  10. $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.

    The post $18M to advance materials research for quantum computing, sustainable plastics and more appeared first on Michigan Engineering News.