A joint study by Tel Aviv University and the University of Haifa set out to solve a scientific mystery: how a soft coral is ...
Through systematic experiments DeepSeek found the optimal balance between computation and memory with 75% of sparse model ...
The world’s most powerful supercomputers can now run simulations of billions of neurons, and researchers hope such models ...
This valuable study uses mathematical modeling and analysis to address the question of how neural circuits generate distinct low-dimensional, sequential neural dynamics that can change on fast, ...
When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: memorization (reciting exact text they’ve seen before, like famous quotes or ...
The global energy sector is undergoing a transformation, with the electric grid expanding to accommodate an increasing number of assets, including solar arrays, wind farms, batteries, electric ...
Behavioral Classification of Sequential Neural Activity Using Time Varying Recurrent Neural Networks
Abstract: Shifts in data distribution across time can strongly affect early classification of time-series data. When decoding behavior from neural activity, early detection of behavior may help in ...
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