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

Ankit Modi’s journey with Qure.ai could have ended almost as soon as it began. He had an offer from Epic Systems in the US, ...

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

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 ...

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 ...

In the field of hazardous chemical transportation, safety is of utmost importance. The consequences of an accident can be ...

One of the most exciting developments is how AI is lowering barriers for retail participation in algorithmic trading. Tools ...