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 ...

A new ‘pop-up’ device developed by Professor John Rogers lets scientists map and manipulate activity in human neural ...

Scientists have built a soft, three-dimensional electronic device that can wrap around lab-grown human ...

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...

A study introduces a scalable 2D human neuron platform to probe how brain-like rhythms emerge and how specific drugs reshape them, aiding epilepsy and autism research.

Biologically plausible learning mechanisms have implications for understanding brain functions and engineering intelligent systems. Inspired by the multi-scale recurrent connectivity in the brain, we ...

The 2024 Nobel Prize in Physics has been awarded to scientists John Hopfield and Geoffrey Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural ...

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

Researchers identify the Functional-Structural Ratio (FSR) as the biological link between age-related hearing loss and cognitive decline, offering a potential new biomarker for dementia risk.