AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...
Disrupting left superior frontal sulcus selectively impaired perceptual but not value-based decisions, revealing segregated ...
Abstract: The principal innovative contribution of this study resides in the introduction of a category of fractional delayed large-scale neural networks characterized by intricate topological ...
The Heisenberg uncertainty principle puts a limit on how precisely we can measure certain properties of quantum objects. But researchers may have found a way to bypass this limitation using a quantum ...
ABSTRACT: Machine learning (ML) has become an increasingly central component of high-energy physics (HEP), providing computational frameworks to address the growing complexity of theoretical ...
The ability to analyze the brain's neural connectivity is emerging as a key foundation for brain-computer interface (BCI) technologies, such as controlling artificial limbs and enhancing human ...
Small-business owners, entrepreneurs and startups will have the opportunity to receive an introduction to patents Wednesday, Nov. 12. Mary Fuller, U.S. Patent and Trademark Office (USPTO) regional ...
A study by Dorothy P. Schafer, Ph.D., and Travis E. Faust, Ph.D., at UMass Chan Medical School, explains how two different cell types in the brain—astrocytes and microglia—communicate in response to ...
Scripps Research scientists used a graphical neural network-based structure building tool, ModelAngelo, to discover monoclonal antibodies (bottom) from polyclonal antibody responses produced after ...
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