Researchers have developed several data-mechanism hybrid driven methods to improve key variables prediction in process ...

We may not think about it while doing it, but our nervous system is directing our bones, joints, muscles, tendons, and more to move as efficiently as possible at varying speeds. Replicating this in ...

Can AI learn by shrinking? A new study introduces a development-inspired continual learning framework for spiking neural ...

(Boston)—Recently, there has been convergence of thought by researchers in the fields of memory, perception, and neurology that the same neural circuitry that produces conscious memory of the past not ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released a forward-looking technological achievement: the hybrid quantum-classical three-dimensional ...

A new study demonstrates how neurons in nematode worms respond to odors and generate movement to augment understanding of neural circuits.

An international team of neuroscientists, led by Duke-NUS Medical School, have uncovered a mechanism that controls the reactivation of neural stem cells, which are crucial for repairing and ...

The lateral habenula is a brain region associated with behavioral changes and autonomic responses during psychological stress. Researchers at the University of Tsukuba have identified the involvement ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...