Artificial neural networks have been applied to problems ranging from speech recognition to prediction of protein secondary structure ... An artificial neural network can be created by simulating ...

A new study proposes NdLinear, a multi-dimensional linear layer that preserves data structure and slashes parameter counts ...

From writing and typing to playing a musical instrument or mastering a sport, learning movement-based tasks is one of the ...

The study provides compelling evidence that local dopamine release serves as a crucial signal for neural plasticity in the motor cortex, enabling the necessary adaptations for producing precise and ...

A Convolutional Neural Network (CNN) represents a sophisticated advancement in artificial intelligence technology, specifically designed to process and analyze visual information. These specialized ...

Systolic arrays never took off when they first emerged, but they are shaping up as the dominant ways to structure an AI ... can keep the entirety of the neural network on die," he said.

Neuroscience examines the structure and function of the human brain ... the brain is hard-wired with neural connections. These connections link together its various lobes and also link sensory ...

Research team designed PBCounter, a weighted model counting solver for pseudo-Boolean formulas. It uses variable elimination and dynamic programming with ADDs, outperforming state-of-the-art CNF-based ...

Noteworthily, the research team incorporated a three-dimensional convex structure that reduces the direct contact area with the nerve while enhancing adhesion, thereby enabling clearer neural ...

Within this network, the premotor region HVC is essential ... Their findings suggest HVC is organised into highly structured neural modules that contain both projection neurons and inhibitory ...