Read more about how machine learning and deep learning differ, where each is used, and how businesses choose between them in real scenarios.

Your brain calculates complex physics every day and you don't even notice. This neuromorphic chip taps into the same idea.

In A Nutshell Brain scans of 110 adults show that in people with age-related hearing loss, certain brain regions can’t maintain adequate activity levels as tissue shrinks A memory-related region ...

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

Abstract: Based on unsupervised physics-informed neural network (PINN) framework, a two-dimensional inverse-design method for antenna superstrate is proposed, which can simultaneously realize the ...

In the future, psychedelics may be used to treat addictions because they can shake up the brain. Along with therapy, ...

Jonathan Ball, a partner with the law firm Norton Rose Fulbright described the ruling as "a major boost for AI innovators", adding that it "could make it easier for AI companies to secure patent ...

Patentability Of Artificial Neural Networks To Be Decided By UK Supreme Court On Wednesday 11 February. Legal News and Analysis - United Kingdom - Intellectual Property - Conventus Law ...

A team at the University of California, San Diego has redesigned how RRAM operates in an effort to accelerate the execution ...