Tuesday, August 4, 2020

Intel unveils Loihi neuromorphic chip, chases IBM in artificial brains

Intel has announced what it calls the first-of-its-kind self-learning neuromorphic chip, named Loihi, which it says will get smarter over time and enable extremely...

Quantum Computing Research Gets Boost from Federal Government

By AI Trends Staff The US federal government is investing heavily in research on quantum computing, and AI is helping to boost the development. The White...

From 2017 AI World: Real-Time IIoT in Action at Smart Community Center; AI driving...

A smart building in Kawasaki, Japan called the Smart Community Center, has 35,000 sensor devices in it, possibly the premiere example today of the...

The Path to Higher Performance with Scalable Machine Learning

In an earlier post I explored the value of using scalable machine learning to extract value from huge amounts of data. In this post,...

AI Gets Edgy: How New Chips are Pushing AI from the Cloud to Network...

editor note: This is part 1 of a series of articles that AI Trends is publishing based on our recent webinar on the same...

Deep learning is coming to a chip near you

Deep learning has become one of the most relevant trends in modern software technology. From a conceptual standpoint, deep learning is a discipline of...

NVIDIA Introduces HGX-2, Fusing HPC and AI Computing into Unified Architecture

NVIDIA on May 30 introduced NVIDIA HGX-2™, the first unified computing platform for both artificial intelligence and high performance computing. The HGX-2 cloud server platform,...

Intel pits monster 72-core Xeon Phi chip against GPUs

When introducing its monster 72-core Xeon Phi chip, Intel couldn't help but take a swipe at graphics processors for being sluggish for some tasks. The...

Nvidia Unveils New Titan X Graphics Card

Speaking at a gathering of deep learning experts at Stanford University, Nvidia CEO Jen-Hsun Huang confirmed that the company will be launching a new...

Advancing Quantum Computing Brings Promise and Threats

Digital computing has some serious limitations.  While the technology advances made over the past few decades are impressive such as smaller footprints, faster processors,...




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