Google is getting closer to offering quantum computing over the cloud. It’s uncertain if a quantum computer, which is based on “qubits” rather than 1s and 0s, can out-perform a supercomputer, but Google and other companies are betting it will be able to perform certain important tasks millions of times faster. Google and its rivals would be more likely to rent quantum computing over the Internet, since the computers are too bulky and require too much special care to live in most companies’ data centers. Continue reading Google Push Could Spark Quantum Computing in the Cloud

Microsoft is going full bore into quantum computing, moving from pure research into efforts to build a prototype of what has been primarily an experimental field. If and when they come to fruition, quantum computers could have an impact on drug design, artificial intelligence and even our understanding of physics. For that reason, IBM and Google are also investing in quantum computing, although Microsoft has taken a singular approach, based on so-called braiding particles (also known as anyons). Continue reading Microsoft Imagines a Practical Future for Quantum Computers

The National Science Foundation just announced grants to build the $30 million Stampede 2 supercomputer which, outfitted with 18 petaflops, will offer twice the power of the Stampede, which debuted in March 2013. Its processing capacity puts it on a par with Cray’s Titan and IBM’s Sequoia (though not as powerful as China’s Tianhe-2). The supercomputer will be available to any researcher with a need for immense processing power, for such applications as atomic and atmospheric simulations. Continue reading National Science Foundation Funds Stampede Supercomputer

During the Nvidia keynote at CES 2016, CEO and co-founder Jen-Hsun Huang introduced a new computer for autonomous vehicles called the Drive PX2. Following last year’s Drive CX, the PX2 touts processing power equivalent to 150 MacBook Pros, according to Huang. The lunchbox-sized, water-cooled computer features 12 CPU cores that support eight teraflops and 24 “deep learning” tera operations per second. As a result, the PX2 can reportedly process data in real time from 12 video cameras, radar, lidar and additional sensors to enhance the self-driving car experience. Continue reading CES: Nvidia Unveils New ‘Supercomputer’ for Self-Driving Cars

Following announcements that Google is releasing its TensorFlow machine learning platform so developers can create their own artificial intelligence programs, and Nvidia has made a significant update to its Jetson TX1 supercomputer-on-a-chip, Microsoft is the latest with major AI news. The company has updated its Project Oxford suite of AI tools with powerful new features and programs designed to identify human emotions and voices, for example, that could make their way into the apps we use on a daily basis. Continue reading Microsoft Project Oxford Updates Could Bring AI to More Apps

President Obama recently signed an executive order, the National Strategic Computing Initiative (NSCI), with the intention of creating the first exaflop supercomputer. This computer would be about 30 times faster than today’s fastest machine, and would be geared toward the development of ongoing scientific and defense research projects. Although the supercomputer would be useful for a vary of governmental projects, many see this initiative as a response to China’s 33.86 petaflop Tianhe-2, now the fastest supercomputer in the world. Continue reading President Obama Signs Order for New Supercomputer Initiative

The latest trend in artificial intelligence involves implementing a much more efficient microprocessor rather than a whole cloud computing system to power deep learning research. These microprocessors, or graphical processing units (GPUs), are great at math-crunching skills, which makes them ideal for deep learning networks. Now, companies such as Google, Facebook, and various labs that run supercomputers, are using GPU-based computers to power their AI and deep learning operations. Continue reading AI: GPU-Based Computing is Proving Ideal for Deep Learning

For years Google has been evasive about plans for its public cloud for computing and data storage. However, the company is soon to announce pricing, features, and performance guarantees for both startup and multinational companies. Google’s efforts are part of an escalating battle amongst technology companies to control government and corporate computing through public clouds. This battle includes such companies as Microsoft, IBM and Amazon. Continue reading Google to Announce Plan for Cloud Computing and Data Storage

There are only 300 of Valve’s Steam Machine gaming PCs, and they’re being shipped to beta testers. But Valve’s production of the device will end there — this is just a prototype. Third party-manufactured machines will be revealed in January at the next Consumer Electronics Show (CES) in Las Vegas, during which consumers will get more information about Steam’s specs. What we know now is that the device will have high- and low-end models. Continue reading Valve Releases Steam Game Machine Prototypes for Testing

Donald Mustard, co-founder and creative director of Chair, developed “Infinity Blade 3,” tried it on the iPhone 5s, and was impressed by how it played. While gaming on Apple’s new iPhone, Mustard discovered much more than he expected. The game had more color, improved resolution and better graphics. A new game-friendly smartphone may generate interest from children and teens who are gaming more on mobile devices, and at younger ages. Continue reading Will the iPhone 5s Lead To a Sea Change for Mobile Gaming?