A new study proposes NdLinear, a multi-dimensional linear layer that preserves data structure and slashes parameter counts ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of neural network quantile ...

Artificial neural networks have been applied to problems ranging from speech recognition to prediction of protein secondary structure ... An artificial neural network can be created by simulating ...

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced that their research team has used quantum neural networks to classify and extract features from data in databases, ...

A study from Johannes Gutenberg University Mainz found that fruit flies raised at lower temperatures develop more neural ...

An example of TEECNet model structure with 3 hidden layers and hidden layer dimension of 32. Credit: Journal of Computational Physics (2024). DOI: 10.1016/j.jcp.2024.113569 ...

Systolic arrays never took off when they first emerged, but they are shaping up as the dominant ways to structure an AI ... can keep the entirety of the neural network on die," he said.

To overcome this limitation, Sigbjørn Bore, the third author of this paper, developed a deep neural network potential ... the gold standard for electronic structure calculations," said Prof.

Noteworthily, the research team incorporated a three-dimensional convex structure that reduces the direct contact area with the nerve while enhancing adhesion, thereby enabling clearer neural ...