WeanNet transfers learning through fading neural connections
WeanNet progressively withdraws a parent network’s lateral influence from a student, improving adaptation in a controlled concept-drift task while enabling ...
WeanNet progressively withdraws a parent network’s lateral influence from a student, improving adaptation in a controlled concept-drift task while enabling ...
Every time a traveler passes through an automated border control gate at a major international airport, a face verification system ...
A new hypothesis paper argues that the ordered stages of human neurodevelopment, from reflexes to physical grounding to social reasoning, ...
A new framework called ADTE combines graph-attentive neural networks, non-stationary reinforcement learning, and continual learning to deliver adversarially robust, certified ...
An international study of 30 neonatal intensive care units shows that continual learning can adapt adult-trained AI models to newborn ...
Researchers in India have published a detailed mathematical blueprint for a spatio-temporal graph foundation model designed to learn continuously from ...
A new Perspective proposes a system-level framework of transferable predictive maintenance that keeps battery health predictions reliable as storage assets ...
A complete wiring diagram of an electric fish cerebellum-like circuit reveals how structured synaptic connectivity enables fast, accurate and continually ...
Recurrent neural networks trained on demanding multitask curricula spontaneously develop modular, brain-like architectures, showing that computational demands rather than wiring ...
Researchers show that a randomly initialized, never-trained graph neural network paired with a lightweight streaming classifier outperforms state-of-the-art methods in ...
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© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine