By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...
A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...
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 ...
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AI models stumble on basic multiplication without special training methods, study finds
These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...
As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...
Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...
Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...
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