Time feels like the most basic feature of reality. Seconds tick, days pass and everything from planetary motion to human ...
Predicting the conditions of chemical reactions has been a key focus of AI use in chemistry. One of the most prominent tools ...
Modern neuroscience and the computational modeling of the activities of vast, integrated neural networks provide fruitful accounts of how our minds work and learn.
How do electrical signals become "about" something? Through purely physical processes, neural networks transform activity ...
Unlike standard LLMs that require massive compute resources, CognitionSim leverages: ...
Researchers documented the activity of neurons that shape directional navigation as bats explored a remote island off the ...
Like all AI models based on the Transformer architecture, the large language models (LLMs) that underpin today’s coding ...
While it's true that many Canadians would benefit from more exercise and from improving the quality of their diet, research ...
The rise of AI has given us an entirely new vocabulary. Here's a list of the top AI terms you need to learn, in alphabetical order.
The Flow protocol can’t seem to catch a break, as Huobi HTX, an exchange linked to Justin Sun, publicly condemned the project’s recovery plans after it suffered close to a $4 million exploit. An ...
Abstract: Reliable sensor data are essential for the effective operation and safety of cyber-physical systems (CPS) in industrial environments. However, sensors frequently experience faults or ...
Abstract: Zeroing neural networks (ZNNs) play a crucial role in efficiently solving time-varying problems. Recently, ZNNs are integrated with many advanced control theories with a certain convergence ...
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