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Understanding attention in large language models
  1. 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.

  2. 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.

  3. 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.

    The post Building a chemical ‘GPT’ to help design a key battery component appeared first on Michigan Engineering News.

  4. Choosing exoskeleton settings like a Pandora radio station

    Using a simple and convenient touchscreen interface, the algorithm learns the assistance preferences of the wearer.

    The post Choosing exoskeleton settings like a Pandora radio station appeared first on Michigan Engineering News.

  5. 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.

    The post Toyota Research Institute and Michigan Engineering discuss importance of long-standing partnership appeared first on Michigan Engineering News.

  6. 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.

    The post Senate testimony: AI risks to the financial sector appeared first on Michigan Engineering News.

  7. 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.

    The post AI tool helps optimize antibody medicines appeared first on Michigan Engineering News.

  8. 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.

    The post Nanobiotics: AI for discovering where and how nanoparticles bind with proteins appeared first on Michigan Engineering News.

  9. 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.

    The post AI could run a million microbial experiments per year appeared first on Michigan Engineering News.

  10. World’s first realistic simulated driving environment based on ‘crash-prone’ Michigan intersection

    Real-time data collected at the two-lane roundabout will be used to efficiently test the safety of autonomous vehicles.

    The post World’s first realistic simulated driving environment based on ‘crash-prone’ Michigan intersection appeared first on Michigan Engineering News.