News

Neural Magic's technology trains a neural network and finds which weights can be left unused. It then sets those weights to a zero value, so they are not processed by the computer chip.
The post How Living Neural Chips Could Power AI appeared first on Due ... “The biological network has evolved over hundreds of millions of years into the most efficient computing system ever ...
Ambiq’s flagship product series is a family of systems-on-chip, or SOCs, called Apollo. The processors can be found in ...
The case for building Scalable Neuromorphic Networks is this: like humans, smarter chips have a larger, tighter neural network. Indeed, neural networks are the current state-of-the-art for machine ...
Spiking Neural Network Chip for Smarter Sensors. Story by Charles Q. Choi ... “You should not need a neuromorphics Ph.D. to run a neuromorphics solution on chips like these,” Kumar says.
Steven Brightfield, Chief Marketing Officer at BrainChip, about neuromorphic computing and its Akida spiking neural network ...
Tomlinson explained that they designed a simple neural network chip without complex coding as a proof of concept. Before sending the chip for manufacturing, the team performed validation through ...
- Building extremely efficient neural networks using photonic chips that process light signals is possible. This was proven by a study by the Politecnico di Milano, conducted together with ...
A neural network is, in layman’s terms, a vast mesh of interconnected nodes that pass information between them. (The whole idea was modeled after the way our own human brains work.) ...
A joint effort from researchers at Google Research, Google DeepMind, and Tel Aviv University has managed to get the classic shooter running on nothing but a neural network (via Futurism).This ...
Typically, chips multiply numbers that fit into 16 bits of memory. But DeepSeek squeezed each number into only 8 bits of memory — half the space. In essence, it lopped several decimals from each ...
How Living Neural Chips Could Power AI April 12, 2025 — 02:45 pm EDT Written by Jaime Catmull for Due.com -> ...