AI
A Rare Peek into IBM’s TrueNorth Neuromorphic Chip
We did not plan it, but today has become make-your-eyes-bleed-with-chip architecture-patent-applications day. …
Search Results for "truenorth"
AI
Sandia Pushes The Neuromorphic AI Envelope With Hala Point “Supercomputer”
Not many devices in the datacenter have been etched with the Intel 4 process, which is the chip maker’s spin on 7 nanometer extreme ultraviolet immersion lithography. …
AI
Big Blue Can Still Catch The AI Wave If It Hurries
It has been two and a half decades since we have seen a rapidly expanding universe of a new kind of compute that rivals the current generative AI boom. …
AI
Neuromorphic Computing Will Need Partners To Break Into The Datacenter
The emerging field of neuromorphic processing isn’t an easy one to navigate. …
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. …
HPC
Germany Makes Massive Quantum, Neuromorphic Investment
One of Germany’s foremost scientific research centers, Jülich Forschungszentrum, will receive a €36-million infusion of government funding to advance quantum and neuromorphic computing technologies. …
Compute
A Rogues Gallery of Post-Moore’s Law Options
The last decade, and few years in particular, have brought a bevy of new architectures to bear for a market keen to understand what comes after Moore’s Law. …
AI
The Neuromorphic Memory Landscape for Deep Learning
There are several competing processor efforts targeting deep learning training and inference but even for these specialized devices, the old performance ghosts found in other areas haunt machine learning as well. …