NVIDIA talks smarter supercomputers for better AI

NVIDIA has discussed its plans to push supercomputer technology and enable much more intelligent artificial intelligence (AI), demonstrating its CUDA for Machine Leaning system. Discussing image detection, gesture and speech … Continue reading

Dogecoins illicitly mined on Harvard supercomputing cluster

Dogecoins, the cryptocurrency that arose to a degree of unexpected popularity in recent times, was mined without permission on Harvard’s supercomputing cluster, it has been reported. The issue resulted in … Continue reading

Google gives an update on D-Wave 2 quantum computer benchmark status

As a tech company, Google has been known to branch out into different areas of interests, from self-driving cars to smart wearable technology and, more recently, to robotics. One thing … Continue reading

Scientists trace superconductivity anomalies to a single point

Superconducting materials that function at room temperature make electrons behave unpredictably. The electrons sometimes arrange themselves in lines or around atoms in an asymmetrical arrangement. This is one reason superconductors have not proliferated into everyday use — an advance that would render everything from power lines to personal computers far, far more efficient. But two […]

NVIDIA Tesla K40 accelerator is world’s fastest for supercomputers

NVIDIA has outed its most powerful GPU-based processing accelerator to-date, the Tesla K40, and it’s headed to supercomputers in 2014. Mustering up to 40x the performance of the last-gen K20X, the K40 delivers 1.43 teraflops of processing power from its 2,880 CUDA cores and 12GB of GDDR5 memory. There’ll be plenty of opportunity for it […]

NVIDIA unveils Tesla K40 accelerator, teams with IBM on GPU-based supercomputing

NVIDIA unveils Tesla K40, teams with IBM on supercomputing in the data center

NVIDIA’s Tesla GPUs are already mainstays in supercomputers that need specialized processing power, and they’re becoming even more important now that the company is launching its first Tesla built for large-scale projects. The new K40 accelerator only has 192 more processing cores than its K20x ancestor (2,880, like the GeForce GTX 780 Ti), but it crunches analytics and science numbers up to 40 percent faster. A jump to 12GB of RAM, meanwhile, helps it handle data sets that are twice as big as before. The K40 is already available in servers from NVIDIA’s partners, and the University of Texas at Austin plans to use it in Maverick, a remote visualization supercomputer that should be up and running by January.

As part of the K40 rollout, NVIDIA has also revealed a partnership with IBM that should bring GPU-boosted supercomputing to enterprise-grade data centers. The two plan on bringing Tesla GPU support to IBM’s Power8-based servers, including both apps and development tools. It’s not clear when the deal will bear fruit, but don’t be surprised if it turbocharges a corporate mainframe near you.

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Source: NVIDIA

IBM Watson API makes supercomptuer available as a service for apps

IBM’s Watson question answering supercomptuer is an impressive bit of kit. The machine has competed very well against humans in many areas, including on the game show Jeopardy. IBM has announced a new API that makes the Watson question answering machine available as a service. That means by using the API, app developers can incorporate […]

Raijin Is Australia’s Most Powerful Supercomputer

Supercomputers – this is a badge of pride to wear by any country, if they managed to churn out the fastest supercomputer in the world. Needless to say, the mantle has changed many times over the previous years as new advancements in engineering and manufacturing are made, with the best brains of each country coming together to see who can cobble together the best and fastest supercomputer possible. The NVIDIA-powered Titan supercomputer was the fastest in the world at one point in time, and has since been superseded with the Tianhe-2 reigning supreme at the moment. Well, how about our friends down under, do they have a supercomputer to boast of?

The answer would be yes, with the Raijin debuting today to coincide with the opening of the National Computational Infrastructure (which so happens to be a high performance computing centre). Raijin is the god of thunder, lightning and storms in Japanese mythology, where it is capable of performing a similar number of calculations in an hour as seven billion people with calculators could – across the time span of 20 years. The speed of Raijin has been clocked at 1.2 petaflops, clearly biting the Tianhe-2’s dust at 33.86 petaflops. Still, this is a start to be proud of Down Under, don’t you think so? [Press Release]

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Parallella ‘supercomputers’ headed to early backers, 16-core boards up for general pre-order

DNP Adapteva's production Parallella boards headed to early backers, 16core version to go up for general preorder

Following its successful Kickstarter campaign, Adapteva flashed the production versions of its Parallella “supercomputer” boards in April, penning in a loose summer delivery date. Today, the company reports that the first “beta” units have begun winding their way to backers who pledged at the DEVELOPER, 64-CORE-PLUS and ROLF levels. Other backers should receive their boards by summer’s end “after some final refinements.” For those who missed the crowd-funding window, you too can get a Parallella, as Adapteva has now opened up general pre-orders for the 16-core version on its website. While all Kickstarter-bought boards will bear a Zynq-7020 SoC, new pre-orders are configured with a 7010 as standard, though you can upgrade to the 7020 if you lay down a little more dough. However, newcomers will be treated to “Gen-1” boards, which will offer slight improvements over earlier versions, such as reduced power consumption and an added serial port three-pin header. You’ll find the basic 16-core board going for $99 over at Adapteva’s store, with an expected October delivery date. The company tells us the 64-core version will also be available for public consumption, with pre-orders beginning in Q4 this year.

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Source: GitHub (Gen-1 board specs), Adapteva store

Computer smart enough to go toe-to-toe with a 4-year-old

Just how smart can computers get? Will we ever see the kind of apocalyptic future tushered in by the Red Queen of Resident Evil fame, or will an equivalent of Skynet eventually come and bite us in our rear end? How about HAL9000 and its homicidal tendencies? I am quite pleased to report that computers have yet to achieve such levels of audacity in terms of intelligence, but there has been progress somewhat. Artificial and natural knowledge researchers at the University of Illinois (UIC) at Chicago claim to have tested one of the best AI systems out there just to see how smart it really is, and it turned out to rank on a scale that is that of the average 4-year old. Yes, you can all return to your normal lives now, as there is nothing quite like the looming threat of an evil computer AI hell bent on destroying mankind just because it sees us as a “virus”.

ConceptNet 4 basically did extremely well on a vocabulary test and on its ability to recognize similarities, but it underperformed when it came to comprehension­ on ‘why’ questions, which makes perfect sense. After all, one of the most difficult issues in constructing an AI would be to work on it being able to arrive at sound and prudent judgment based on a simple perception of the situation or facts, which is what we humans like to call, common sense. Looks like the looming AI apocalypse is still far away.

Press Release
[ Computer smart enough to go toe-to-toe with a 4-year-old copyright by Coolest Gadgets ]