Subj : 'Inspired by the human brain': Intel debuts neuromorphic system t
To   : All
From : TechnologyDaily
Date : Sun Apr 28 2024 06:45:05

'Inspired by the human brain': Intel debuts neuromorphic system that aims to 
mimic grey matter with a clear aim  making the machine exponentially faster 
and much more power efficient, just like us

Date:
Sun, 28 Apr 2024 05:40:56 +0000

Description:
Intel's Hala Point is the world's largest brain-based computing system with 
1.15 billion artificial neurons.

FULL STORY
======================================================================

Neuromorphic computing is about mimicking the human brain's structure to 
deliver more efficient data processing, including faster speeds and higher 
accuracy, and its a hot topic right now. A lot of universities and tech firms 
are working on it, including scientists at Intel who have built the worlds 
largest brain-based computing system for Sandia National Laboratories in New 
Mexico. 

Intels creation, called Hala Point, is only the size of a microwave, but 
boasts 1.15 billion artificial neurons. Thats a massive step up from the 50 
million neuron capacity of its predecessor, Pohoiki Springs, which debuted 
four years ago. Theres a theme with Intels naming in case you were wondering  
theyre locations in Hawaii. 

Hala Point is ten times faster than its predecessor, 15 times denser, and 
with one million circuits on a single chip. Pohoiki Springs only had 128,000. 
Making full use of it 

Equipped with 1,152 Loihi 2 research processors (Loihi is a volcano in 
Hawaii), the Hala Point system will be tasked with harnessing the power of 
vast neuromorphic computation. Our colleagues at Sandia have consistently 
applied our Loihi hardware in ways we never imagined, and we look forward to 
their research with Hala Point leading to breakthroughs in the scale, speed 
and efficiency of many impactful computing problems, said Mike Davies, 
director of the Neuromorphic Computing Lab at Intel Labs. 

Since a Neuromorphic system of this scale hasnt existed before, Sandia has 
been developing special algorithms to ultimately make use of the computers 
full capabilities. 

We believe this new level of experimentation - the start, we hope, of 
large-scale neuromorphic computing - will help create a brain-based system 
with unrivaled ability to process, respond to and learn from real-life data, 
Sandia lead researcher Craig Vineyard said. 

His colleague, fellow researcher Brad Aimone added, One of the main 
differences between brain-like computing and regular computers we use today - 
in both our brains and in neuromorphic computing - is that the computation is 
spread over many neurons in parallel, rather than long processes in series 
that are an inescapable part of conventional computing. As a result, the more 
neurons we have in a neuromorphic system, the more complex a calculation we 
can perform. We see this in real brains. Even the smallest mammal brains have 
tens of millions of neurons; our brains have around 80 billion. We see it in 
todays AI algorithms. Bigger is far better. More from TechRadar Pro 
Scientists inch closer to holy grail of memory breakthrough AI chip built 
using ancient Samsung tech is as fast as Nvidia A100 GPU Brain-like computers 
could become reality sooner than you think



======================================================================
Link to news story:
https://www.techradar.com/pro/inspired-by-the-human-brain-intel-debuts-neuromo
rphic-system-that-aims-to-mimic-grey-matter-with-a-clear-aim-making-the-machin
e-exponentially-faster-and-much-more-power-efficient-just-like-us


--- Mystic BBS v1.12 A47 (Linux/64)
 * Origin: tqwNet Technology News (1337:1/100)

.