ARM's new mobile processors are built for AI on the go

Engadget

When ARM showed up at Computex last year, it brought a bundle of smartphone processors that pushed for better mobile VR. As you might've noticed, though, AI is one of the big new trends in mobile this year -- is it any surprise that the ARM's pushing that angle with its latest batch of silicon? First up is the Cortex-A75 CPU core, which the company says can deliver laptop-level performance without burning through any more power than existing mobile processors. ARM is promising a 50 percent boost in performance compared to the older A73 core, which should lend itself well to machine learning processes that run right on your devices. Remember: we're starting to see more smartphones optimize their performance on the fly based on behaviors sussed out by these kinds of algorithms.


AI smartphones will soon be standard, thanks to machine learning chip

#artificialintelligence

Almost every major player in the smartphone industry now says that their devices use the power of artificial intelligence (AI), or more specifically, machine learning algorithms. Few devices, however, run their own AI software. That might soon change: thanks to a processor dedicated to machine learning for mobile phones and other smart-home devices, AI smartphones could one day be standard.


The World's Fastest Supercomputer Breaks an AI Record

WIRED

Along America's west coast, the world's most valuable companies are racing to make artificial intelligence smarter. Google and Facebook have boasted of experiments using billions of photos and thousands of high-powered processors. Late last year, a project in eastern Tennessee quietly exceeded the scale of any corporate AI lab. It was run by the US government. The record-setting project involved the world's most powerful supercomputer, Summit, at Oak Ridge National Lab.


The World's Fastest Supercomputer Breaks an AI Record

#artificialintelligence

Along America's west coast, the world's most valuable companies are racing to make artificial intelligence smarter. Google and Facebook have boasted of experiments using billions of photos and thousands of high-powered processors. But late last year, a project in eastern Tennessee quietly exceeded the scale of any corporate AI lab. It was run by the US government. The record-setting project involved the world's most powerful supercomputer, Summit, at Oak Ridge National Lab.


Samsung Galaxy S8, Note 8 And iPhone 8's 10nm Processor Technology Explained

International Business Times

The technology has been adopted by processor manufacturers such as Qualcomm, Intel, TSMC and Samsung and is expected to power many flagship devices in 2017 such as iPhone 8, Samsung Galaxy S8 and Note 8. So, what is 10nm technology and what difference will it make to smartphones? The technology is used in Qualcomm Snapdragon 835 and 830 processors expected to power S8 and Note 8 devices and in Apple iPhone 8's A11 chip. Intel also announced at CES 2017 in Las Vegas on Wednesday that it will be using the technology in its Cannon Lake processors. Simply explained, smartphone processors work just like CPUs on PCs and take care of all the tasks that your smartphone has to perform. The processors contain different components that are assigned to different tasks.