Human memory and attention are core cognitive functions that shape perception, learning, and decision-making. And whilst decades of research have provided ...
13don MSN
Computational models predict neural activity for re-establishing connectivity after stroke or injury
Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have developed a novel ...
Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have achieved a major ...
In the largest study yet of deep neural networks trained to perform auditory tasks, researchers found most of these models generate internal representations that share properties of representations ...
Robot perception and cognition often rely on the integration of information from multiple sensory modalities, such as vision, ...
When you try to solve a math problem in your head or remember the things on your grocery list, you’re engaging in a complex neural balancing act — a process that, according to a new study by Brown ...
For more than a decade, Alexander Huth from the University of Texas at Austin had been striving to build a language decoder—a tool that could extract a person’s thoughts noninvasively from brain ...
Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
Tech Xplore on MSN
Inner 'self-talk' helps AI models learn, adapt and multitask more easily
Talking to oneself is a trait which feels inherently human. Our inner monologs help us organize our thoughts, make decisions, and understand our emotions. But it's not just humans who can reap the ...
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