By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...
An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...
Anti-forgetting representation learning method reduces the weight aggregation interference on model memory and augments the ...
Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...
For more than a century, scientists have wondered why physical structures like blood vessels, neurons, tree branches, and ...
Researchers identified a major decline in neural activity and retention when students used AI for writing. We need to empower ...
Northwestern Medicine scientists have discovered that targeting neuronal signaling controlling aberrant learning in the ...
PEGASUS generates permeable macrocyclic peptides, offering new promise for a modality that can combine the properties of a biologic in a pill ...
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