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Archive for the ‘supercomputing’ category: Page 64

Dec 14, 2016

IBM’s Watson supercomputer discovers 5 new genes linked to ALS

Posted by in categories: biotech/medical, neuroscience, robotics/AI, supercomputing

IBM Watson is known for its work in identifying cancer treatments and beating contestants on Jeopardy! But now the computing system has expertise in a new area of research: neuroscience.

Watson discovered five genes linked to ALS, sometimes called Lou Gehrig’s disease, IBM announced on Wednesday. The tech company worked with researchers at the Barrow Neurological Institute in Phoenix, Arizona. The discovery is Watson’s first in any type of neuroscience, and suggests that Watson could make discoveries in research of other neurological diseases.

SEE ALSO: This high-tech E.L.F. is guiding confused shoppers with the help of IBM’s Watson.

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Dec 11, 2016

Proof that Moore’s Law has been replaced by a Virtual Moore’s Law that is Accelerating and Bringing the Singularity With It

Posted by in categories: computing, singularity, supercomputing

Introduction

Moore’s Law says that the number of transistors per square inch will double approximately every 18 months. This article will show how many technologies are providing us with a new Virtual Moore’s Law that proves computer performance will at least double every 18 months for the foreseeable future thanks to many new technological developments.

This Virtual Moore’s Law is propelling us towards the Singularity where the invention of artificial superintelligence will abruptly trigger runaway technological growth, resulting in unfathomable changes to human civilization.

Going Vertical

In the first of my “proof” articles two years ago, I described how it has become harder to miniaturize transistors, causing computing to go vertical instead. 2 years ago, Samsung was mass producing 24-layer 3D NAND chips and had announced 32-layer chips. As I write this, Samsung is mass producing 48-layer 3D NAND chips with 64-layer chips rumored to appear within a month or so. Even more importantly, it is expected that by the end of 2017, the majority of NAND chips produced by all companies will be 3D. Currently Samsung and its competitors are working 24/7 to transform their 2D factories to 3D factories causing a dramatic change in how NAND flash chips are created.

Continue reading “Proof that Moore’s Law has been replaced by a Virtual Moore’s Law that is Accelerating and Bringing the Singularity With It” »

Nov 28, 2016

MIT’s new method of radio transmission could one day make wireless VR a reality

Posted by in categories: internet, mobile phones, robotics/AI, supercomputing, virtual reality

If you want to use one of today’s major VR headsets, whether the Oculus Rift, the HTC Vive, or the PS VR, you have to accept the fact that there will be an illusion-shattering cable that tethers you to the small supercomputer that’s powering your virtual world.

But researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) may have a solution in MoVr, a wireless virtual reality system. Instead of using Wi-Fi or Bluetooth to transmit data, the research team’s MoVR system uses high-frequency millimeter wave radio to stream data from a computer to a headset wirelessly at dramatically faster speeds than traditional technology.

There have been a variety of approaches to solving this problem already. Smartphone-based headsets such as Google’s Daydream View and Samsung’s Gear VR allow for untethered VR by simply offloading the computational work directly to a phone inside the headset. Or the entire idea of VR backpacks, which allow for a more mobile VR experience by building a computer that’s more easily carried. But there are still a lot of limitations to either of these solutions.

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Nov 25, 2016

Why the US Is Losing Ground on the Next Generation of Powerful Supercomputers

Posted by in categories: cosmology, supercomputing

“I feel the need — the need for speed.”

The tagline from the 1980s movie Top Gun could be seen as the mantra for the high-performance computing system world these days. The next milestone in the endless race to build faster and faster machines has become embodied in standing up the first exascale supercomputer.

Exascale might sound like an alternative universe in a science fiction movie, and judging by all the hype, one could be forgiven for thinking that an exascale supercomputer might be capable of opening up wormholes in the multiverse (if you subscribe to that particular cosmological theory). In reality, exascale computing is at once more prosaic — a really, really fast computer — and packs the potential to change how we simulate, model and predict life, the universe and pretty much everything.

Continue reading “Why the US Is Losing Ground on the Next Generation of Powerful Supercomputers” »

Nov 19, 2016

Liquid silicon: Computer chips could bridge gap between computation and storage

Posted by in categories: robotics/AI, supercomputing

Computer chips in development at the University of Wisconsin–Madison could make future computers more efficient and powerful by combining tasks usually kept separate by design.

Jing Li, an assistant professor of electrical and computer engineering at UW–Madison, is creating computer chips that can be configured to perform complex calculations and store massive amounts of information within the same integrated unit — and communicate efficiently with other chips. She calls them “liquid silicon.”

“Liquid means software and silicon means hardware. It is a collaborative software/hardware technique,” says Li. “You can have a supercomputer in a box if you want. We want to target a lot of very interesting and data-intensive applications, including facial or voice recognition, natural language processing, and graph analytics.”

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Nov 7, 2016

Optical laser computing Could Power Up Genomics and AI and Optalysys targets one petaflop next year

Posted by in categories: biotech/medical, mathematics, military, physics, robotics/AI, supercomputing

Optalysys’s technology performs a mathematical function called the Fourier transform by encoding data, say a genome sequence, into a laser beam. The data can be manipulated by making light waves in the beam interfere with one another, performing the calculation by exploiting the physics of light, and generating a pattern that encodes the result. The pattern is read by a camera sensor and fed back into a conventional computer’s electronic circuits. The optical approach is faster because it achieves in a single step what would take many operations of an electronic computer.

The technology was enabled by the consumer electronics industry driving down the cost of components called spatial light modulators, which are used to control light inside projectors. The company plans to release its first product next year, aimed at high-performance computers used for processing genomic data. It will take the form of a PCI express card, a standard component used to upgrade PCs or servers usually used for graphics processors. Optalysys is also working on a Pentagon research project investigating technologies that might shrink supercomputers to desktop size, and a European project on improving weather simulations.

Continue reading “Optical laser computing Could Power Up Genomics and AI and Optalysys targets one petaflop next year” »

Nov 3, 2016

Scientists May Have Identified the Particles That Make Up Dark Matter

Posted by in categories: cosmology, particle physics, supercomputing

In Brief:

  • Using an advanced supercomputer, scientists came up with a profile for dark matter, concluding that it may be made of axions of a specific type.
  • With this new information, the race is on to be the first to prove the existence of dark matter particles.

Understanding what dark matter is has proven to be amazingly difficult. Of course, one might expect this from a thing that is, for all intents and purposes, entirely invisible. Scientists have come to the conclusion that dark matter exists by observing the way gravity behaves—either our model of gravity is in need of an update, or dark matter exists. The latter is the most likely conclusion.

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Nov 2, 2016

Turning pings into packets: Why the future of computers looks a lot like your brain

Posted by in categories: mobile phones, neuroscience, supercomputing

In the future, circuits and systems modelled on human brains could end up in everything from supercomputers to everyday smartphones.

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Nov 2, 2016

A Supercomputer Just Solved A Big Mystery Behind Dark Matter

Posted by in categories: cosmology, particle physics, supercomputing

We now know the mass of an axion, which means we might be able to prove dark matter does indeed exist.

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Oct 26, 2016

GPU’s Role in Artificial Intelligence Advances Featured at Conference

Posted by in categories: biotech/medical, information science, robotics/AI, supercomputing

NEWS ANALYSIS: The confluence of big data, massively powerful computing resources and advanced algorithms is bringing new artificial intelligence capabilities to scientific research.

WASHINGTON, DC—Massively parallel supercomputing hardware along with advanced artificial intelligence algorithms are being harnessed to deliver powerful new research tools in science and medicine, according to Dr. France A. Córdova, Director of the National Science Foundation.

Córdova spoke Oct. 26 at GPU Technology Conference organized by Nvidia, a company that got its start making video cards for PCs and gaming systems, that now manufactures advanced graphics processor for high-performance servers and supercomputers.

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