Large-scale protein and gene profiling have massively expanded the landscape of cancer-associated proteins and gene mutations ...

A new photonic chip designed by MIT scientists performs all deep neural network computations optically, achieving tasks in ...

With volatility so closely tied to investment risk and returns, it's no wonder that a statistical method that captured ...

Researchers have devised a way to make computer vision systems more efficient by building networks out of computer chips’ ...

Now, scientists from MIT and elsewhere have developed a new photonic chip that overcomes these roadblocks. They demonstrated ...

Machine learning algorithms are a powerful tool for detecting anomalies in network traffic structure. In this way they can ...

Govindaiah Simuni is passionate about solving enterprise data architecture challenges, improving batch processing, and ...

Neural Architecture Search (NAS) is revolutionizing AI by automating the complex design of neural networks, a task ...

In addition, it is a subset of machine learning and artificial intelligence, that focuses on modeling and stimulating the behavior of human brain neural networks. In deep learning, large datasets are ...

“When it comes to chemical data, by integrating different modalities, we can construct a comprehensive view. Inspired by this ...

Many of the categories and terms in this year’s Best of Networking (BENNY) technology awards didn’t even exist a decade ago: ...

A scientist in Sweden has developed a new hybrid local features-based method using thermographs to identify faulty solar ...