Category: Data & Computing
-
$15M for game theory with AI agents, quantum semiconductors for microelectronics and photonics
The DoD funds efforts to incorporate AI agents into game theory and develop microelectronics that can withstand a hot day on Venus or carry quantum information.
-
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.
-
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.
-
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.
-
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.
-
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).
-
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.
-
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.
-
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.
-
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.
-
$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.
-
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.