Npj Unconventional Computing invites submissions for a thematic Collection on “Brain Inspired Computing” led by Wei Lu, Yuchao Yang, Christof Teuscher and Andy Sarles!

By mimicking the brain’s neurons and synapses, neuromorphic computing is enabling smarter, energy-efficient AI systems. A ...

Brain-inspired computing promises cheaper, faster, more energy efficient processing, according to experts at a Beijing conference, who discussed everything from reverse engineering insect brains ...

Scientists discovery reveals 'brain-like computing' at molecular level is possible. New research shows organic molecular switch 'emulates synaptic behavior.' A breakthrough discovery at University ...

Toward brain-like computing: New memristor better mimics synapses Date: December 18, 2018 Source: University of Michigan Summary: A new electronic device can directly model the behaviors of a ...

Researchers have developed a brain-like computing device that is capable of learning by association. Similar to how famed physiologist Ivan Pavlov conditioned dogs to associate a bell with food, ...

However, the field of neuromorphic computing has largely focused on processing data from individual senses separately. This unisensory approach stems in part from the lack of miniaturized hardware ...

Neuromorphic computing is bringing brain-like efficiency to AI, enabling ultra-low-power, real-time intelligence in everyday devices. I spoke to the CEO of Innatera about it.

Nvidia launched Thor via a video (top) featuring the company’s long-time CEO Jensen Huang handing a gift box to a humanoid ...

Because these computers would better mimic the brain's internal structure, Hersam tells Inverse that neuromorphic computers could decrease computing energy costs by a staggering 100,000-fold.

Computer algorithms might be performing brain-like functions, such as facial recognition and language translation, but the computers themselves have yet to operate like brains. “Computers have ...

A breakthrough discovery at University of Limerick has revealed for the first time that unconventional brain-like computing at the tiniest scale of atoms and molecules is possible. Researchers at ...