Serendipitous meetings, scholarly collaborations, and an ethos of "encouraging junior faculty to think big" laid the ...

University of Arizona researchers have demonstrated that multiphoton microscopy (MPM), combined with machine learning and deep learning techniques, can accurately distinguish pancreatic neuroendocrine ...

Differential equations are fundamental tools in physics: they are used to describe phenomena ranging from fluid dynamics to general relativity. But when these equations become stiff (i.e. they involve ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, introduced a significant development—Multi-Class Quantum Convolutional Neural Network (Quantum ...

Understand Local Response Normalization (LRN) in deep learning: what it is, why it was introduced, and how it works in convolutional neural networks. This tutorial explains the intuition, mathematical ...

Aging of the brain is characterized by deleterious processes at various levels including cellular/molecular and ...

A research team has developed a powerful unsupervised deep learning network that can accurately separate wood and leaf ...

Critics slammed attempts by Google, Microsoft and Meta to speed up materials discovery. But behind the hype, there is progress.

Convergent evolution—where distinct species independently evolve similar traits or functions, such as the wings of birds and ...

Abstract: Objective: Accurate decoding of electroencephalogram (EEG) signals has become more significant for the brain-computer interface (BCI). Specifically, motor imagery and motor execution (MI/ME) ...

Artificial intelligence has taken many forms over the years and is still evolving. Will machines soon surpass human knowledge and understanding?

In oncology and cardiology, AI’s strength lies in deep learning techniques applied to imaging and genomic data. Convolutional ...