Near-infrared spectroscopy combined with principal components analysis and a back propagation neural network identified ...

A 500 W laboratory prototype of a dual-input converter with a modified deep neural network controller achieved a peak ...

A new modeling study combines a MATLAB boundary-value solver with a Levenberg–Marquardt artificial neural network to predict ...

Hurricane forecasters are increasingly using artificial intelligence to make predictions — and they say the technology is ...

Experts from Epstein and Gotion explain how a former Kmart distribution center in Illinois became a battery gigafactory by ...

Neural networks and cutting-edge algorithms bring precision to data analysis. Discover how they can boost your trading ...

As artificial intelligence becomes more powerful, its ability to handle humanlike tasks is undeniable. Artificial neural networks can learn to recognize images, use language or write computer code.

“Recursive self-improvement” is the idea that artificial intelligence could learn to build and train itself, creating exponential new progress — and risk. Jeff Clune, a computer scientist and ...

Artificial intelligence is proving to be transformative in its ability to work with language and images. Now, with a growing push to apply AI to scientific discovery, Caltech's Anima Anandkumar says ...

Figure 1: A neural network whose behavior can be tuned between fully classical and fully quantum. × Artificial neural networks have become powerful tools for finding patterns in complex data, from ...

Millions of people are now designing their own personalized artificial intelligence companions, yet most have little idea how those creations will actually behave. In a new paper, MIT Media Lab ...

The development will solve a range of problems that the livestock industry in the Arctic is facing ST. PETERSBURG, June 19. /TASS/. Scientists at the St. Petersburg Federal Research Center (the ...