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Intel Looking Into Atomic Energy
May 25, 2016 by admin
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Shortly after cancelling two generations of Atom mobile chips, Intel putting its weight behind future low-power mobile technologies with a new research collaboration with a French atomic energy lab.
Fundamental research leading towards faster wireless networks, secure low-power technologies for the Internet of Things, and even 3D displays will be the focus of Intel’s collaboration with the French Alternative Energies and Atomic Energy Commission (CEA).
Intel and the CEA already work together in the field of high-performance computing, and a new agreement signed Thursday will see Intel fund work at the CEA’s Laboratory for Electronics and Information Technology (LETI) over the next five years, according to Rajeeb Hazra, vice president of Intel’s data center group.
The CEA was founded in 1945 to develop civil and military uses of nuclear power. Its work with Intel began soon after it ceased its atmospheric and underground nuclear weapons test programs, as it turned to computer modeling to continue its weapons research, CEA managing director Daniel Verwaerde said Thursday.
That effort continues, but the organization’s research interests today are more wide-ranging, encompassing materials science, climate, health, renewable energy, security and electronics.
These last two areas will be at the heart of the new research collaboration, which will see scientists at LETI exchanging information with those at Intel.
Both parties dodged questions about who will have the commercial rights to the fruits of their research, but each said it had protected its rights. The deal took a year to negotiate.
“It’s a balanced agreement,” said Stéphane Siebert, director of CEA Technology, the division of which LETI is a part.
Who owns what from the five-year research collaboration may become a thorny issue, for French taxpayers and Intel shareholders alike, as it will be many years before it becomes clear which technologies or patents are important.
Hazra emphasized the extent to which Intel is dependent on researchers outside the U.S. The company has over 50 laboratories in Europe, four of them specifically pursuing so-called exa-scale computing, systems capable of billions of billions of calculations per second.
Source-http://www.thegurureview.net/mobile-category/intel-look-to-atomic-energy-for-mobile-technologys-future.html
Google Buys A.I. Firm
Google has purchased DeepMind Technologies, an artificial intelligence company in London, reportedly for $400 million.
A Google representative confirmed the via email, but said the company’s isn’t providing any additional information at this time.
News website Re/code said in a report this past Sunday that Google was paying $400 million for the company, founded by games prodigy and neuroscientist Demis Hassabis, Shane Legg and Mustafa Suleyman.
The company claims on its website that it combines “the best techniques from machine learning and systems neuroscience to build powerful general-purpose learning algorithms.” It said its first commercial applications are in simulations, e-commerce and games.
Google announced this month it was paying $3.2 billion in cash to acquire Nest, a maker of smart smoke alarms and thermostats, in what is seen as a bid to expand into the connected home market. It also acquired in January a security firm called Impermium, to boost its expertise in countering spam and abuse.
The Internet giant said on a research site that much of its work on language, speech, translation, and visual processing relies on machine learning and artificial intelligence. “In all of those tasks and many others, we gather large volumes of direct or indirect evidence of relationships of interest, and we apply learning algorithms to generalize from that evidence to new cases of interest,” it said.
In May, Google launched a Quantum Artificial Intelligence Lab, hosted by NASA’s Ames Research Center. The Universities Space Research Association was to invite researchers around the world to share time on the quantum computer from D-Wave Systems, to study how quantum computing can advance machine learning.
Stanford Develops Carbon Nanotubes
Researchers at Stanford University have demonstrated the first functional computer constructed using only carbon nanotube transistors.
Scientists have been experimenting with transistors based on carbon nanotubes, or CNTs, as substitutes for silicon transistors, which may soon hit their physical limits.
The rudimentary CNT computer is said to run a simple operating system capable of multitasking, according to a synopsis of an article published in the journal Nature.
Made of 178 transistors, each containing between 10 and 200 carbon nanotubes, the computer can do four tasks summarized as instruction fetch, data fetch, arithmetic operation and write-back, and run two different programs concurrently.
The research team was led by Stanford professors Subhasish Mitra and H.S. Philip Wong.
“People have been talking about a new era of carbon nanotube electronics moving beyond silicon,” Mitra said in a statement. “But there have been few demonstrations of complete digital systems using [the] technology. Here is the proof.”
IBM last October said its scientists had placed more than 10,000 transistors made of nano-size tubes of carbon on a single chip. Previous efforts had yielded chips with just a few hundred carbon nanotubes.
NOAA Super Computer Goes Live
August 21, 2013 by admin
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The National Oceanic and Atmospheric Administration has rolled out two new supercomputers that are expected to improve weather forecasts and perhaps help better prepare us for hurricanes.
The two IBM systems, which are identical clones, will be used by NOAA’s National Weather Service to produce forecast data that’s used in the U.S. and around the world.
One of the supercomputers is in Reston, Va.; the other is in Orlando. The NWS can switch between the two in about six minutes.
Each is a 213-teraflop system running a Linux operating system on Intel processors. The federal government is paying about $20 million a year to operate the leased systems.
“These are the systems that are the origin of all the weather forecasts you see,” said Ben Kyger, director of central operations at the National Centers for Environmental Prediction.
NOAA had previously used identical four-year-old 74-teraflop IBM supercomputers that ran on IBM’s AIX operating system and Power 6 chips.
Before it could activate the new systems, the NWS had to ensure that they produced scientifically accurate results. It had been running the old and new systems in parallel for months, comparing their output.
The NWS has a new hurricane model, which is 15% more accurate in day five of a forecast for a storm’s track and intensity. That model is now operational and running on the new systems. That’s important, because the U.S. is expecting a busy hurricane season.
IBM’s Next-gen Transistors Mimick Human Brain
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IBM has discovered a way to make transistors that could be turned into virtual circuitry that mimics how the human brain operates.
The new transistors would be made from strongly correlated materials, such as metal oxides, which researchers say can be used to build more powerful — but less power-hungry — computation circuitry.
“The scaling of conventional-based transistors is nearing an end, after a fantastic run of 50 years,” said Stuart Parkin, an IBM fellow at IBM Research. “We need to consider alternative devices and materials that operate entirely differently.”
Researchers have been trying to find ways of changing conductivity states in strongly correlated materials for years. Parkin’s team is the first to convert metal oxides from an insulated to conductive state by applying oxygen ions to the material. The team recently published details of the work in the journal Science.
In theory, such transistors could mimic how the human brain operates in that “liquids and currents of ions [would be used] to change materials,” Parkin said, noting that “brains can carry out computing operations a million times more efficiently than silicon-based computers.”
U.S. Takes Back Supercomputing Crown
The U.S., once again, is home to the world’s most powerful supercomputer after being kicked off the list by China two years ago and then again by Japan last year.
The top computer, an IBM system at the Department of Energy’s Lawrence Livermore National Laboratory, is capable of 16.32 sustained petaflops, according to the Top 500 list, a global, twice a year ranking, released Monday.
This system, named Sequoia, has more than 1.57 million compute cores and relies on architecture and parallelism, and not Moore’s Law, to achieve its speeds.
“We’re at the point where the processors themselves aren’t really getting any faster,” said Michael Papka, Argonne National Laboratory deputy associate director for computing, environment and life sciences.
The Argonne lab installed a similar IBM system, which ranks third on the new Top 500 list. “Moore’s Law is generally slowing down and we’re doing it (getting faster speeds) by parallelism,” Papka said.
U.S. high performance computing technology dominates the world market. IBM systems claimed five of the top ten spots in the list, and 213 systems out the 500.
Hewlett-Packard is number two, with 141 systems on the list. Nearly 75% of the systems on this list run Intel processors, and 13% use AMD chips.
Japan Takes 1st Place On Supercomputer List
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A Japanese computer has earned the number one spot on the Top 500 supercomputer list, ending China’s short reign of just six months. At 8.16 petaflops (quadrillion floating-point calculations per second), the K computer is more powerful than the next five systems combined.
The K computer’s performance was measured using 68,544 SPARC64 VIIIfx CPUs each with eight cores, for a total of 548,352 cores, almost twice as many as any other system on the Top500 list. The computer is still being put together, and when it enters service in November 2012 will have more than 80,000 SPARC64 VIIIfx CPUs according to its manufacturer, Fujitsu.
Japan’s ascension to the top means that the Chinese Tianhe-1A supercomputer, which took the number 1 position in November last year, is now in second spot with its 2.57 petaflops. But China continues to grow the number of systems it has on the list, up from 42 to 62 systems. The change at the top also means that Jaguar, built for the U.S. Department of Energy (DOE), is bumped down to third place.