The researchers developed a technique to coordinate multiple wireless transmitters by synchronizing their wave phases, according to a statement from MIT on Tuesday. Multiple independent transmitters will be able to send data over the same wireless channel to multiple independent receivers without interfering with each other.

Since wireless spectrum is scarce, and network congestion is only expected to grow, the technology could have important implications.

The researchers called the approach MegaMIMO 2.0 (Multiple Input, Multiple Output) .

For their experiments, the researchers set up four laptops in a conference room setting, allowing signals to roam over 802.11 a/g/n Wi-Fi. The speed and distance improvement is expected to also apply to cellular networks. A video describes the technology as well as a technical paper (registration required), which was presented this week to the Association for Computing Machinery’s Special Interest Group on Data Communications (SIGCOMM 16).

The researchers, from MIT’s Computer Science and Artificial Intelligence Lab, are: Ezzeldin Hamed, Hariharan Rahul, Mohammed Abdelghany and Dina Katabi.

Courtesy-http://www.thegurureview.net/mobile-category/mit-researchers-develop-technique-to-triple-wireless-speeds.html

Courtesy-http://www.thegurureview.net/mobile-category/mit-researchers-develop-technique-to-triple-wireless-speeds.html

The researchers have worked out that slowing the speed of light to the extent that it moves slower than flowing electrons can create an “optical boom”, the optical equivalent of a sonic boom.

Slowing the speed of light is no mean feat, but the clever folks at MIT managed it by using the honeycomb shape of carbon to slow photons to slow photons to several hundredths of their normal speed in a free space, explained researcher Ido Kaminer.

Meanwhile, the characteristics of graphene speed up electrons to a million metres a second, or around 1/300 of the speed of light in a vacuum.

The optical boom is caused when the electrons passing though the graphene reach the speed of light, effectively breaking its barrier in the carbon honeycomb and causing a shockwave of light.

As electrons move faster than the trapped light, they bleed plasmons, a form of virtual particle that represents the oscillation of electrons on the graphene’s surface.

Effectively, it is the equivalent of turning electricity into light. This is nothing new – Thomas Edison did it a century ago with fluorescent tubes – but it can efficiently and controllably generate plasmons at a scale that works with microchip technology.

The discovery could allow chip components to be made from graphene to enable the creation of light-based circuits. These circuits could be the next step in the evolution of chip and computing technology, as the transfer of data through light is far faster than using electrons in today’s chips, even the fast pixel-pushing ones.

So much faster that it’s “six orders of magnitude higher than what is used in electronics”, according to Kaminer. That’s up to a million times faster in plain English.

“There’s a lot of excitement about graphene because it could be easily integrated with other electronics,” said physics professor Marin Soljačić, a researcher on the project, who is confident that MIT can turn this theoretical experiment into a working system. “I have confidence that it should be doable within one to two years.”

This is a pretty big concept and almost sci-fi stuff, but we’re always keen to see smaller and faster chips. It also shows that the future tech envisioned by the world of sci-fi may not be that far away.

Courtesy-TheInq

“This is the most advanced arm in the world,” Johnny Matheny, who lost his left arm to cancer in 2008 and demonstrated the robotic arm for DARPA, said in a statement. “This one can do anything your natural arm can do, with the exception of the Vulcan V. But unless I meet a Vulcan, I won’t need it.”

Matheny showed the arm during Demo Day for the Defense Advanced Research Projects Agency, the military’s research unit, which was held Wednesday at the Pentagon. The device was developed at the Research and Exploratory Development Department at Johns Hopkins Applied Physics Laboratory.

The robotic arm is attached to a piece of metal that is surgically implanted into the bone of the user’s arm in technique called osseointegration. Matheny is the first person in the U.S. to have undergone the procedure, according to the U.S. Army.

The Army called the system a “true man/machine interface.”

The mind-controlled aspect of the arm comes into play via the nerves and muscles in what remains of the user’s arm. Those tissues send signals to the robotic arm, which responds to them as a real arm would.

“This is part of the Revolutionizing Prosthetics Program, where we set out to restore near-natural upper extremity control to our military service members who have lost limbs in service of our country,” said Dr. Justin C. Sanchez, director of the Biological Technologies Office at DARPA, in a statement. “The goal is to control the arm as naturally as possible.”

The robotic arm, according to Sanchez, has the same size, weight, shape and grip strength as an adult biological arm.

Source-http://www.thegurureview.net/aroundnet-category/darpa-shows-off-mind-controlled-robotic-arm.html

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

Knowledge about threats is often hidden in unstructured sources such as blogs, research reports and documentation, said Kevin Skapinetz, director of strategy for IBM Security.

“Let’s say tomorrow there’s an article about a new type of malware, then a bunch of follow-up blogs,” Skapinetz explained. “Essentially what we’re doing is training Watson not just to understand that those documents exist, but to add context and make connections between them.”

Over the past year, IBM Security’s own experts have been working to teach Watson the “language of cybersecurity,” he said. That’s been accomplished largely by feeding it thousands of documents annotated to help the system understand what a threat is, what it does and what indicators are related, for example.

“You go through the process of annotating documents not just for nouns and verbs, but also what it all means together,” Skapinetz said. “Then Watson can start making associations.”

Now IBM aims to accelerate the training process. This fall, it will begin working with students at universities including California State Polytechnic University at Pomona, Penn State, MIT, New York University and the University of Maryland at Baltimore County along with Canada’s universities of New Brunswick, Ottawa and Waterloo.

Over the course of a year, the program aims to feed up to 15,000 new documents into Watson every month, including threat intelligence reports, cybercrime strategies, threat databases and materials from IBM’s own X-Force research library. X-Force represents 20 years of security research, including details on 8 million spam and phishing attacks and more than 100,000 documented vulnerabilities.

Watson’s natural language processing capabilities will help it make sense of those reams of unstructured data. Its data-mining techniques will help detect outliers, and its graphical presentation tools will help find connections among related data points in different documents, IBM said.

Ultimately, the result will be a cloud service called Watson for Cyber Security that’s designed to provide insights into emerging threats as well as recommendations on how to stop them.

Source-http://www.thegurureview.net/computing-category/ibms-watson-to-get-schooled-on-cybersecurity.html

It’s an interesting move for a man who in 2014 said artificial intelligence, or A.I., will pose a threat to the human race.

“I think we should be very careful about artificial intelligence,” Musk said about a year and a half ago during an MIT symposium. “If I were to guess at what our biggest existential threat is, it’s probably that… with artificial intelligence, we are summoning the demon. In all those stories with the guy with the pentagram and the holy water, and he’s sure he can control the demon. It doesn’t work out.”

Today, Musk is moving to help programmers use A.I. and machine learning to build smart robots and smart devices.

“We’re releasing the public beta of OpenAI Gym, a toolkit for developing and comparing reinforcement learning (RL) algorithms,” wrote Greg Brockman, OpenAI’s CTO, and John Schulman, a scientist working with OpenAI, in a blog post . “We originally built OpenAI Gym as a tool to accelerate our own RL research. We hope it will be just as useful for the broader community.”

The OpenAI Gym is meant as a tool for programmers to use to teach their intelligent systems better ways to learn and develop more complex reasoning. In short, it’s meant to make smart systems smarter.

Musk is a co-chair of OpenAI, a $1 billion organization that was unveiled last December as an effort focused on advancing artificial intelligence that will benefit humanity.

While Musk has warned of what he sees as the perils of A.I., it’s also a technology that he needs for his businesses.

The OpenAI Gym is made up of a suite of environments, including simulated robots and Atari games, as well as a site for comparing and reproducing results.

It’s focused on reinforcement learning, a field of machine learning that involves decision-making and motor control.

According to OpenAI, reinforcement learning is an important aspect of building intelligent systems because it encompasses any problem that involves making a sequence of decisions. For instance, it could focus on controlling a robot’s motors so it’s able to run and jump, or enabling a system to make business decisions regarding pricing and inventory management.

Two major challenges for developers working with reinforcement learning are the lack of standard environments and the need for better benchmarks.

Musk’s group is hoping that the OpenAI Gym addresses both of those issues.

Source- http://www.thegurureview.net/aroundnet-category/elon-musk-opens-training-gym-for-ai-programmers.html

That’s according to U.S. Department of Energy (DOE) officials, who run the national labs. A new program aims to connect manufacturers with supercomputers and the expertise to use them.

This program provides $3 million, initially, for 10 industry projects, the DOE has announced. Whether the program extends into future fiscal years may well depend on Congress.

The projects are all designed to improve efficiency, product development and energy use.

For instance, Procter & Gamble will get help to reduce the paper pulp in products by 20%, “which could result in significant cost and energy savings” in this energy- intensive industry, according to the project description.

Another firm, ZoomEssence, which produces “powder ingredients that capture all the key sensory components of a liquid,” will work to optimize the design of a new drying method using HPC simulations, according to the award description.

Some other projects in the initial implementation of what is being called HPC4Mfg (HPC for Manufacturing) includes an effort to help Global Foundriesoptimize transistor design.

In another, the Ohio Supercomputer Center and the Edison Welding Institute will develop a welding simulation tool.

The national labs not only have the hardware; “more importantly the labs have deep expertise in using HPC to help solve complex problems,” said Donna Crawford, the associate director of computation at Lawrence Livermore National Laboratory, in a conference call. They have the applications as well, she said.

HPC can be used to design and prototype products virtually that otherwise might require physical prototypes. These systems can run simulations and visualizations to discover, for instance, new energy-efficient manufacturing methods.

Source-http://www.thegurureview.net/computing-category/u-s-wants-to-help-supercomputer-makers.html

A Reddit discussion has heard from furious users who spotted that the simplified policy effectively gives the company permission to sell its mailing lists to third parties for fun and profit.

AVG stated under ‘Do You Share My Data?’ in the Q&A about the new policy, which is automatically enforced on 15 October: “Yes, though when and how we share it depends on whether it is personal data or non-personal data. AVG may share non-personal data with third parties and may publicly display aggregate or anonymous information.”

AVG has hit back at the criticism in a blog post today, by which we mean confirmed that its stance is correct, explaining: “Usage data allows [AVG] to customize the experience for customers and share data with third parties that allow them to improve or develop new products.

“Knowing that 10 million users like a certain TV program gives broadcasters the data to get producers to make more of that type of program.

“This is also how taxi firms know how to distribute their fleets, and how advertisers know where to place banners and billboards, for example. Even at AVG, we have published non-personal information that we have collected regarding app performance.”

But AVG added in big, bold type: “We do not, and will not, sell personally identifiable data to anyone, including advertisers.”

This will placate some, but others fear that the lack of choice over this matter, which requires an active decision to opt out, is too clandestine. As ever, there are threats to move to everything from Linux Mint to the Commodore 64, some more serious than others.

Several Redditors have likened it to similar warnings in Windows 10′s Insider Programme which essentially say: ‘we can track you … but we won’t, unless we do.’

Courtesy-TheInq