The recent advancement of generative AI has seen an accompanying boom in enterprise applications across industries, including ...

TI’s new C2000 MCUs integrate edge AI and real-time control, delivering higher efficiency, safety and security in critical ...

Hinton moved to the University of Toronto in 1987 and began attracting young researchers who wanted to study neural networks.

ECE Assoc. Prof. Zheng Zhang among four potentially high-impact projects seeking to solve critical energy-efficiency challenges have been awarded more than $240,000 in cumulative funding related to ...

The future of hearing aids lies in further miniaturization and functionality enhancement. Hearing is one of the most essential senses for engaging with the world. It enables us to converse, appreciate ...

Penn State's electronic tongue, enhanced by AI, detects subtle variations in liquids for food safety and diagnostics, with ...

Governments, too, should allow open-source AI to thrive, imposing safety regulations uniformly and eschewing restrictions and ...

Rapid advances in applying artificial intelligence to simulations in physics and chemistry have some people questioning whether we will even need quantum computers at all.

Edge computing devices, devices located in proximity to the source of data instead of in large data centers, could perform computations locally. This could reduce latency, particularly in real-time ...

Hence, this article designs a Traffic Flow Control utilizing a Fuzzy Deep Neural Network with a crayfish optimization algorithm (TFCFDNN-COA) technique in Urban Environments. The TFCFDNN-COA technique ...

If you use Spotify and aren't sure how it recommends new music, the company is quite open about how you can influence your taste profile.

Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural ...