AI
Neuromorphic Computing Will Need Partners To Break Into The Datacenter
The emerging field of neuromorphic processing isn’t an easy one to navigate. …
Search Results for neuromorphic
Compute
A First Look at Intel’s Next-Level Neuromorphic Engine
Intel is still placing bets on neuromorphic computing with its Loihi devices. …
Compute
MPI on Neuromorphic Hardware Shows Greater Promise
While there are not many neuromorphic hardware makers, those on the market (or in the research device sphere) are still looking for ways to run more mainstream workloads. …
AI
Neuromorphic Computing Innovation Favors the Edge
Covering developments in neuromorphic computing has been something of a piecemeal experience, as happens with all novel architectures. …
Code
Intel’s Neuromorphic Chip Just Got More Accessible for Mainstream AI
While the promise of neuromorphic computing going mainstream is still mostly unrealized, there are steps being taken to bring it closer to reality. …
Compute
On the Fringes of Useful Neuromorphic Scalability
When it comes to novel computing architectures, whether in quantum, deep learning, or neuromorphic, it can be tricky to get a handle on how incremental improvements in processor counts translate to real world improvements since these bumps in element counts often don’t have perfect parallels to CPUs or even GPUs. …
Compute
Intel Smells Neuromorphic Opportunity
Neuromorphic computing has a rather long way to go before it becomes an accepted part of systems. …
AI
Neuromorphic Chip Maker Takes Aim At The Edge
Neuromorphic computing has garnered a lot of attention over the past few years, largely driven by its potential to deliver low-power artificial intelligence to the masses. …
Compute
Intel Aims to Scale Up Neuromorphic Computing
Intel has moved a step closer to commercial neuromorphic computing with the development of a 64-chip system that provides eight million artificial neurons. …
AI
One Step Closer to Deep Learning on Neuromorphic Hardware
A group of researchers at Sandia National Laboratories have developed a tool that can cross-train standard convolutional neural networks (CNN) to a spiking neural model that can be used on neuromorphic processors. …