Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
An offline, point-of-care algorithm on a smartphone fundus camera generated disease-specific outputs without cloud connectivity, addressing a major deployment barrier in low-resource screening ...
Chinese AI models are rapidly closing the gap with U.S. frontier systems. This analysis examines what their growing ...
One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.
Much like camera settings—filters, flashes and focus—affect what we notice in a final photo, the way scientists measure ...
A new randomized clinical trial from investigators at Mass General Brigham’s Neuroscience Institute and Department of ...
Abstract: The application of machine learning to fMRI data classification, prediction, and analysis tasks has experienced rapid growth in recent years. However, its implementation has been limited by ...
According to The Rundown AI, Meta researchers report a brain decoding model that outperforms certain real fMRI measurements for stimulus reconstruction tasks, signaling faster, lower-cost neural ...
John Steinbach was shocked to receive a $281 electricity bill in January 2026—a huge spike from the roughly $100 he’d paid the previous month. “It’s just so far beyond any bill that I’ve ever had,” he ...
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