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Quantum computing will make your PC look like a calculator

Winfried Hensinger likes Star Trek. “It goes all the way back to primary school,” said the director of the Sussex Centre for Quantum Technologies in England. “I wanted to be science officer on the Enterprise, so I worked out in about grade five that I wanted to study physics.”
Today, his day-to-day work on abstract notions of quantum mechanics would make even Spock’s ears perk up.
“[Quantum computing] has a huge appeal for young people,” Hensinger told Digital Trends, “because it’s basically science fiction.” When he started in the field, it was largely confined to theoretical study. Today, the most promising projects are within reach of producing a universal quantum computer — something that was as sci-fi as Star Trek just a few years ago.
“Before there were computers, I had to learn typing on a typewriter,” Hensinger said with a laugh. “Life really changed when computers became available. And quantum computing could be a similar revolution.” When that revolution comes, it will be the result of several decades of work from committed scientists, mathematicians, and engineers. But what IS it, exactly? Ah, there’s the story.

Time Magazine described quantum computing beautifully in a 2014 cover story called “The Infinity Machine”: “It promises to solve some of humanity’s most complex problems. It’s backed by Amazon founder and CEO Jeff Bezos, NASA, and the CIA. Each one costs $10,000,000 and operates at 459 degrees below zero. And nobody knows how it actually works.”
As the quantum computer makes the jump from theory to reality, the field surrounding it is poised to explode. We’ll see applications that were never even considered before, from science lab fare that’s only comprehensible to experts, to weird and wonderful ways of using the tech that should capture anyone’s imagination.
And it’s all thanks to a very famous cat.
A Quantum of Science
Think about this: The device you’re using to read this article works with information stored as binary digits, or bits, each of which can occupy a discrete value of 1 or 0. A standard character from the Latin alphabet is made up of eight bits, otherwise known as a byte. The eight bits in a byte, each a 0 or a 1, can together refer to any alphanumeric symbol. Everything a computer processes, no matter how complex, can be reduced to a string of bits.
But a quantum computer works with information that’s stored in quantum bits, or qubits. A qubit can occupy a value of 1, 0, or any quantum superposition of the two states. That makes things a little more complicated.
Quantum superposition is an example of the “quantum weirdness” that scientists have grappled with for decades. Put simply, it means a quantum object can occupy more than one state until it’s measured, as referred to in the famous thought experiment of Schrödinger’s cat.

Instead of using transistors to keep track of binary data values, a quantum computer uses quantum objects. As a result, the computational power of a quantum computer easily eclipses that of a classical computer. Any given set of quantum values can represent far more data than traditional binary data, because it doesn’t have to reduce data to a string of 0s and 1s.
In theory, at least. Though researchers have been able to agree on how a quantum computer might function, building working hardware has proven an incredible challenge, and has led to plenty of disagreement.

Right now, we’re at a stage where researchers are able to construct a system that has access to a handful of qubits. These computers are great for testing out things like hardware configurations and even running algorithms, but as Time pointed out, they’re ungodly expensive and only the most basic version of what researchers envision. The true potential of a quantum system will only be realized once hundreds, or thousands, of qubits can coexist together.
We’re now seeing a race toward the first large-scale universal quantum computer. There are two strong but different contenders, and it’s not clear which idea will become reality first.
Theory into Practice
“It used to be a physics problem. Now, it’s an engineering problem,” said Hensinger, when asked about the changing face of quantum computing. Though there’s a clear theoretical understanding of how a quantum computer should work, that doesn’t make constructing one an easy process.
The difficulties are multifaceted, and researchers have yet to agree on what the foundation of quantum computing should look like. However, two possibilities stand head and shoulders above the rest.
One is called “superconducting qubits.” It uses an implementation that relies on supercooled electric circuits, and could offer manufacturing advantages when chips are being made in greater quantities.

 

Read more: http://www.digitaltrends.com/features/dt10-quantum-computing-will-make-your-pc-look-like-a-graphing-calculator/

123% Jump Live-streaming boom

China’s live-streaming video craze is producing huge returns for U.S. investors.
Momo Inc.’s 123 percent third-quarter return was the fourth-best among U.S.-listed stocks with market values of at least $2 billion. The Chaoyang-based company, which went public in New York in 2014 as China’s answer to the Tinder dating app, has since expanded into the live-streaming business. Credit Suisse AG says that the industry has grown 175 percent over the past year, and analysts see more gains for Momo with their average 12-month target prices forecasting a 23 percent rise.

The live-streaming boom in countries from Russia to India is fueled by more smartphones, cheaper bandwidth and the shift from personal computers to mobile. In China, live-streaming emerged as a cheaper pastime option for millennials who lack the budget for entertainment, Credit Suisse analysts say. The potential to monetize the trend is likely to keep growing, according to analysts from Rosenblatt Securities to JPMorgan Chase & Co.
‘Minutes of Fame’

“For some Chinese Internet users, online video may simply be a desire for 15 minutes of fame, but for Momo it means a big potential for growth,” said Jun Zhang, an analyst at Rosenblatt Securities. “The stock rally is a reaction to the revenue growth, and there is an expectation of solid growth next quarter as well.”

Christian Arnell, an external spokesman for Momo, said the company declined to comment on the stock performance. The shares slipped 4.5 percent to $22.50 last week.

The competition for people eager to stream themselves live is heating up, with the number of platforms growing to 150 this year, said Zoe Zhao, a Credit Suisse analyst. Live-streaming will become a $5 billion industry in China in 2017, half the size of the nation’s booming mobile-gaming market, Zhao said.
She predicts the industry will consolidate into fewer players as growth slows down next year. Zhao has Momo as one of her top two picks in the industry because online video is a well-synced extension of its location-based messaging services with an established audience, not its sole focus.

“The interactions used to be through image/text only, hence less vivid,” Zhao, who initiated her Momo coverage in September with an overweight call, said by e-mail. “Daily activities and users’ engagement level is expected to pick up after introducing the live-streaming function to the app.”

Momo’s second-quarter revenue jumped 222 percent from a year earlier, fueled by additional users paying for live-video service, the company said in a statement in August. The monetization potential of live broadcasting “has just kicked in,” according to Alex Yao, a JPMorgan analyst who started covering Momo with an overweight call shortly after the quarterly results were announced.

For Brendan Ahern, who invests in Chinese ADRs including Momo, the stock’s performance has outweighed concern about management’s recent flip-flop on going private. Just six months after raising $248 million in an initial public offering, Momo in June 2015 received a buyout proposal from a group led by its chief executive officer. The consortium, which included Sequoia Capital China Investment Management, withdrew the bid last month.

“There have been some ups and downs, but now we see a strong momentum driven by a boom in online video,” Ahern said by phone last week. “Online video is a hot industry right now, and Momo makes some important steps to cash in on the trend.”

http://www.bloomberg.com/news/articles/2016-10-02/momo-s-123-jump-shows-big-money-hidden-in-live-streaming-boom

High Performance Computing Global Market

The Global High Performance Computing market is accounted for $30.64 billion in 2015 and is expected to reach $47.44 billion by 2022 growing at a CAGR of 6.4%. High Performance Computing market is nowadays being linked to technological advancements and economic competitiveness, which are helping the market to compete across the globe. These advancements in computing technology had given many benefits such as faster computing capabilities, enhanced performance efficiency and smarter operation & management with high excellence of service. These all factors are fuelling the market and taking it to a next level. But increasing software hurdles are the major restraining factors of the market.

Government and Defence sector is deploying the technology at the utmost level for national security and cyber crime protection. Cloud technology is expected to grow at an exponential rate because of its increase in adoption.

In North America early adoption of technology and technological advancements are boosting the market growth.

Some of the key players in the market are Cray, Inc., Intel Corporation, Hewlett Packard, Inc. (HP), Advanced Micro Devices, Inc.

(AMD), International Business Machine Corporation (IBM), Fujitsu Limited, ATOS SE, Cisco Systems, Inc., Dell Inc. and Silicon Graphics International Corporation (SGI).

https://www.whatech.com/market-research/it/210055-report-explores-the-high-performance-computing-global-market-outlook-from-2015-to-2022

Security Technology Helps Police

By CS Staff · September 21, 2016

Technology played a crucial in the mass effort by law enforcement to track down and apprehend the 28-year-old man who is suspected of carrying out bombing attacks in New York and New Jersey.

Ahmad Khan Rahami, who was captured during a shootout with the police on Monday, has been tied to four separate bomb scenes: Seaside Park, where no one was hurt; two sites in the Chelsea neighborhood of Manhattan, where an explosion Saturday night injured 29; and Elizabeth, N.J., where a bag of bombs was found near the train station Sunday night, one of which went off while police were trying to disarm them.

CBS News compiled a list of some of the technologies that were used by investigators leading up to Rahami’s arrest, which follow here:

Video surveillance cameras
Surveillance video captured images of Rahami at the scene of both the bomb that exploded in New York’s Chelsea neighborhood and a second, similar device four blocks away that failed to explode and was taken away by police, officials said. He could be seen placing the bomb and leaving the scene, providing officials with a solid lead early in their investigation.

Authorities matched Rahami’s face to a U.S. immigration photo database, CBS News has learned.

It’s still unclear to what extent officials used automated facial recognition technology, which is more advanced than ever, in this process. Facial recognition technology has become increasingly pervasive in recent years, and it’s not just police departments and airports using it: casinos are using it to keep tabs on high-rollers and even some churches are using it to keep a digital record of who’s attending their services.

Bomb robot
Hours after the explosion rocked 23rd Street, police found a second pressure cooker bomb on 27th Street. They deployed a robot to handle that device.

Police departments across the country have been experimenting with using robots in high-risk settings.

In July, Dallas police sent a robot armed with explosives to kill the gunman carrying out a sniper attack on police, an unprecedented step for a domestic police force. The previous year, Dallas police used a similar robot to detonate pipe bombs discovered in a van.

Bomb robots can use water cannons or high-powered air to disarm explosive devices, although that was not done in the New York incident. Instead, the bomb was placed into a secure containment vessel and moved out of the area.

The Montgomery County Fire and Rescue Department in Rockville, Md. is another department that uses bomb robots. “These things clearly save lives,” Montgomery County Fire and Rescue Department Chief Scott Goldstein told CBS News in July. “It can be repaired, it can be replaced. You can’t replace a highly-trained and experienced member of the squad.”

Bomb components
The unexploded bomb found on 27th Street provided investigators with a treasure trove of clues.

Police transported the device to a bomb facility at the Rodman’s Neck Range in the Bronx, where NYPD and FBI technicians disarmed it. They then sent the bomb for a full forensic examination by the FBI in Quantico, Virginia, according to NYPD Commissioner James O’Neill.

Officials tell CBS News they were able to trace components of the bomb, including a flip phone attached to the device to be used as a trigger, and determine when and where those items were purchased – another piece of the puzzle leading them closer to Rahami. Officials said they also found the suspect’s fingerprints on the unexploded bomb from 27th Street.

Emergency alert system
Technology brought the hunt for Rahami directly to the public on Monday morning, when authorities sent out a mass cellphone alert to millions of New Yorkers, spreading the word that the suspect had been identified but was still at large. It appeared to be the first time authorities used the nation’s text-based emergency alert system for an active manhunt.

The text alert “created a lot of focus and energy” and paved the way “to the successful apprehension of this suspect,” New York City Mayor Bill de Blasio said at a news conference Monday afternoon.

“I think it is another example of the innovation going on with NYPD and OEM [Office of Emergency Management] that there was a way to reach people different from the past — no more wanted posters on a precinct house wall. This is a modern approach that really engages the community,” de Blasio said.

Three hours after the text alert went out, a tip from the public may have led to Rahami’s arrest. CBS New York reported that police in Linden, New Jersey, got a call about a man sleeping in a doorway of a business. The responding officer recognized that man as Rahami, police said, and Rahami allegedly opened fire, shooting one officer in his bulletproof vest and injuring two others. Rahami was shot and wounded by officers and taken to a hospital.

Afterwards, New York City police commissioner James O’Neill credited the suspect’s arrest to a confluence of technology coupled with “good old fashioned police work.”

Saturday, the day of the bombings, was O’Neill’s first day on the job as head of the NYPD He was officially sworn in by the mayor around 11 a.m. Monday, immediately before the announcement of Rahami’s arrest.

http://www.campussafetymagazine.com/article/security_technology_helps_ny_police_capture_bombing_suspect_ahmad_khan_raha

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