Cornell University researchers have developed a low-power microchip they call a "microwave brain," the first processor to compute on both ultrafast data signals and wireless communication signals by ...

Machine learning and neural nets can be pretty handy, and people continue to push the envelope of what they can do both in high end server farms as well as slower systems. At the extreme end of the ...

Capture DK’s wildest moments with Donkey Kong Bananza’s Photo Mode. This guide explains controls, filters, and how to snap the perfect shot. However, sometimes life gets in the way of gaming, and you ...

Built on eBPF technology, the Isovalent Load Balancer is designed to run in any environment, from servers and virtual machines in the data center, to the public cloud, to Kubernetes containers. Since ...

Rip currents are strong channels of water flowing away from shore, often found near breaks in sandbars or structures. Signs of a rip current include a channel of choppy water, a noticeable color ...

A first-of-its-kind artificial intelligence (AI)-based neural network can rapidly analyze and interpret millions of cells from a patient sample, predicting molecular changes in the tissue. It can ...

As renewable energy continues to penetrate modern power systems, accurate short-term load forecasting is crucial for optimizing power generation resource allocation and reducing operational costs.

Fixed beam structures are widely used in engineering, and a common problem is determining the load conditions of these structures resulting from impact loads. In this study, a method for accurately ...

[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.