The company open-sourced an 8 billion parameter LLM, Steerling-8B, trained with a new architecture designed to make its ...
Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.
BrainAlignNet, AutoCellLabeler, and CellDiscoveryNet—to automatically track and identify neurons in moving worms and jellyfish.
Understanding the connection between behavior and brain cell activity is a major goal of neuroscience. To make progress, neuroscientists often choose simple, transparent lab animals because it's ...
Google’s latest image model, Nano Banana 2, is a powerful AI photo editor that punctures reality. Well, sometimes.
Marketplace's Meghan McCarty Carino chronicles how a search for a niche hair product led to a scam site that was almost ...
A multivariate analysis of electroencephalography activity reveals super-additive enhancements to the neural encoding of audiovisual stimuli, providing new insights into how the brain integrates ...
With a four-year, $2.7M NIH grant, Hopkins researchers are developing an AI-powered imaging system that can capture brain activity 20 to 50 times faster than current tools ...
For some time, the field of neuroscience has been predominantly "neurocentric," viewing neurons as the primary agents of information processing while ...
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