Using a deep-learning model designed for high-dimensional data, KAUST researchers have shown that it is possible to predict emergency department overcrowding from complex hospital records. This ...

Conventional robots, like those used in industry and hazardous environments, are easy to model and control, but are too rigid ...

The study was published in Research as "Dear-DIAXMBD: deep autoencoder for data-independent acquisition proteomics". Home Article Highlight | 3-Nov-2023 ...

Implementing a deep autoencoder is possible but requires a lot of effort. A result from the Universal Approximation Theorem (sometimes called the Cybenko Theorem) states, loosely speaking, that a ...

French startup Deepomatic just raised $1.4 million (€1.2 million) from Alven Capital and business angels, such as Pierre Valade and Jean-Charles Samuelian. The company has built a smart search ...