Neuromorphic computing systems, encompassing both digital and analog neural accelerators, promise to revolutionize AI ...

Drawing inspiration from human eyesight, a European research project led by VTT has developed machine vision mimicking the cooperation of the eye and nervous system, implemented as edge-computing ...

As AI platforms go mainstream, power bills from their usage are exploding, so researchers are racing to build hardware that would use less energy.

A new technical paper titled “Neuromorphic Computing: A Theoretical Framework for Time, Space, and Energy Scaling” was published by researchers at Sandia National Laboratories. “Neuromorphic computing ...

It’s estimated it can take an AI model over 6,000 joules of energy to generate a single text response. By comparison, your brain needs just 20 joules every second to keep you alive and cognitive. That ...

Tested against a dataset of handwritten images from the Modified National Standards and Technology database, the interface-type memristors realized a high image recognition accuracy of 94.72%. (Los ...

Neuromorphic computing, inspired by the human brain, is considered as the next-generation paradigm for artificial intelligence (AI), offering dramatically increased speed and lower energy consumption.

(Nanowerk Spotlight) Humans effortlessly make sense of the visual world despite the fragmented mess of light that strikes the retina. Identifying objects, interpreting scenes, and recognizing faces ...

July 10, 2024 — The U.S. Department of Energy’s Advanced Scientific Computing Research (ASCR) program has announced a Monday July 22 deadline (11:59 pm ET) for position papers for a workship on ...

Dr. Ignacio Sanjuán (left in the image) has been awarded a European Horizon TMA MSCA postdoctoral fellowship under the supervision of Antonio Guerrero (right) from the Active Materials and Systems ...