A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...

An efficient neural screening approach rapidly identifies circuit modules governing distinct behavioral transitions in response to pathogen exposure.

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

A research team led by Professor Wang Hongzhi from the Hefei Institute of Physical Science of the Chinese Academy of Sciences has developed a multi-stage, dual-domain, progressive network with ...

The signals that drive many of the brain and body's most essential functions—consciousness, sleep, breathing, heart rate and motion—course through bundles of "white matter" fibers in the brainstem, ...

Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...

Small and dense but filled with vitally important neural fibers, the brainstem has been hard for brain imaging technologies ...

A new international study points to a specific brain network as the core driver of Parkinson’s disease. Scientists found that ...

The THz- and Millimeterwave Techniques group is in search of a doctoral researcher for an interdisciplinary THz medical imaging research program developing diffractive optical elements (DOEs) and ...

Precision Simulation's FEATool Multiphysics v. 1.18 provides one-click export functionality and automatic conversion of ...