Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...

The authors have performed a potentially valuable new kind of analysis in connectomics, mapping to an interesting developmental problem of synaptic input to sensory neurons. While the analysis itself ...

Researchers in the Middle East have developed a fuzzy logic controller that simultaneously optimizes the tilt angle of PV systems and performs maximum power point tracking (MPPT). Year-long ...

A team at Carnegie Mellon University is helping kids understand artificial intelligence with a soft, squishy, LED-lit neural network.

A proposed federal bill aims to ensure that the brain-related data collected by wearables and other devices is safeguarded to protect individuals’ privacy, prevent exploitation and build public trust ...

[1] F. Scarselli, M. Gori, A.C. Tsoi, M. Hagenbuchner, and G. Monfardini. The graph neural network model. IEEE Transactions on Neural Networks, 20(1):61 80, 2009.

Doubling the transistor count every two years and therefore cutting the price of a transistor in half because you can cram twice as many on a given area transformed computing and drove it during the ...

Abstract: In this paper, the hyperbolic tangent function and its application in a test neural network on a Field Programmable Gate Array are presented, using the Verilog hardware description language.

The curious minds at ColdFusion examine how neural networks are revolutionizing the way we interact with AI. S.F. residents had parked in their driveways for years. Then someone started snitching ...

1 Department of Neurology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China 2 School of Systems Science, Beijing Normal University, Beijing, China Introduction: ...