Jianwei Shuai's team and Jiahuai Han's team at Xiamen University have developed a deep autoencoder-based data-independent acquisition data analysis software for protein mass spectrometry, which ...

"Real-time Speech Enhancement on Raw Signals with Deep State-space Modeling" further expands BrainChip’s leadership in the neuromorphic event-based computing space by showcasing the company’s ...

The team adapted an existing deep-learning algorithm known as a convolutional variational autoencoder (CVAE), which automatically extracted relevant information about protein folding ...

Geoffrey Hinton, professor at the University of Toronto and engineering fellow at Google Brain, recently published a paper on the Forward-Forward algorithm (FF), a technique for training neural ...

Researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning ...

A diagnostic study on the detection of occlusal caries from a clinical photograph using a deep learning algorithm will be presented at the 101st General Session of the IADR, which will be held in ...

Rice researchers have now created a cost-saving alternative, an algorithm called sub-linear deep learning engine (SLIDE) that is able to do the same job of implementing deep learning, but without ...

New algorithm could help enable next-generation deep brain stimulation devices Date: June 1, 2021 Source: Brown University Summary: Researchers have developed a technique that could allow deep ...