A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...

As the demand for artificial intelligence continues to grow, the limitations of traditional von Neumann architecture in terms of energy efficiency and ...

Meta Platforms is not happy just being the social network for the world anymore. It’s aspirations, driven by the GenAI Boom, are much, much larger. So ...

An AI-powered model that analyzes electrocardiograms was able to accurately detect COPD early in internal testing and ...

“We must strive for better,” said IBM Research chief scientist Ruchir Puri at a conference on AI acceleration organised by ...

The neural network approach uses multiple or “deep” layers that learn to identify increasingly complex features in data. The ...

Get gigabit today and 10 gigabit down the road with bend-tolerant fiber, UPC-polished ends, and media converters for a clean ...

Md Firoz Kabir, a PhD researcher in Information Technology, is emerging as a leading voice in artificial intelligence-driven ...

Abstract: Prior studies demonstrated encouraging results in the application of convolution neural network models (CNN), one-dimensional (1D CNN), or three-dimensional (3D CNN) convolutional layers to ...

Regulations limit both the intensity and frequency of whip use during horse racing. Nevertheless, compliance is currently verified manually after each race. Researchers at University of Tsukuba have ...

However, a closer look confirms that DLSS 4.5 and Model M’s anti-aliasing have the, if you’ll pardon the word choice, edge.

Regulations limit both the intensity and frequency of whip use during horse racing. Nevertheless, compliance is currently ...