Atmospheric aerosols influence climate forcing, air quality, visibility, and human health, but their properties vary widely across space and time. Satellite instruments equipped with multi-angle and ...

Robot perception and cognition often rely on the integration of information from multiple sensory modalities, such as vision, ...

A team at the University of California, San Diego has redesigned how RRAM operates in an effort to accelerate the execution ...

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

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

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, ...

The hunt is on for anything that can surmount AI’s perennial memory wall–even quick models are bogged down by the time and energy needed to carry data between processor and memory. Resistive RAM (RRAM ...

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

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

Researchers say that the recommendation algorithm published by X doesn't offer the kind of transparency that would actually ...

Abstract: Despite the wide variety of applications and use cases that can be solved with the help of machine learning algorithms, researchers have yet to develop a general artificial intelligence ...