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Nice write up and references the Cognitive Toolkit that was leveraged on Skype, Xbox, etc. Also, a nice plug on the QC work.


“Only Cray can bring the combination of supercomputing technologies, supercomputing best practices, and expertise in performance optimization to scale deep learning problems,” said Dr. Mark S. Staveley, Cray’s director of deep learning and machine learning. “We are working to unlock possibilities around new approaches and model sizes, turning the dreams and theories of scientists into something real that they can explore. Our collaboration with Microsoft and CSCS is a game changer for what can be accomplished using deep learning.”

Also Read: Ignore The Financials, MSFT Stock Is Headed Higher : Microsoft Corporation (NASDAQ: MSFT)

“Cray’s proficiency in performance analysis and profiling, combined with the unique architecture of the XC systems, allowed us to bring deep learning problems to our [system] and scale them in a way that nobody else has,” added Prof. Dr. Thomas C. Schulthess, director of the Swiss National Supercomputing Centre (CSCS). “What is most exciting is that our researchers and scientists will now be able to use our existing Cray XC supercomputer to take on a new class of deep learning problems that were previously infeasible.”

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Our society has never aged more rapidly – one of the most visible symptoms of the changing demographics is the exponential increase in the incidence of age-related diseases, including cancer, cardiovascular diseases and osteoarthritis. Not only does aging have a negative effect on the quality of life among the elderly but it also causes a significant financial strain on both private and public sectors. As the proportion of older people is increasing so is health care spending. According to a WHO analysis, the annual number of new cancer cases is projected to rise to 17 million by 2020, and reach 27 million by 2030. Similar trends are clearly visible in other age-related diseases such as cardiovascular disease. Few effective treatments addressing these challenges are currently available and most of them focus on a single disease rather than adopting a more holistic approach to aging.

Glad that the author is highlighting the need for investment; however, the US government has had a quantum network since 1991. Wall Street, various overseas banks, ISPs, etc. well over a year to 2 years ago. And, tech has invested in QC for a decade or longer. So, the article raises the need for investing in QC; however, the investing is no longer experimental as it is now about the daily usage of this technology as well as planning for technical transformation that is coming in the next 5 to 7 years.


Researchers led by Lockheed Martin and IBM are pushing quantum computing prototypes and military applications.

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Nantero Inc., the nanotechnology company developing next-generation memory using carbon nanotubes, today announced the closing of an over $21 million financing round. The lead investor in the round was Globespan Capital Partners and also included participation from both new and existing strategic and financial investors. Nantero currently has more than a dozen partners and customers in the consumer electronics, enterprise systems, and semiconductor industries actively working on NRAM®. The new funding will enable the company to support these partners in bringing multiple products into the market, while also enabling new customers to begin development. This financing round brings the total invested in Nantero to date to over $110 million.

“This round enables Nantero to accelerate its pace in product development, especially of its multi-gigabyte DDR4-compatible memory product,” said David Poltack, Managing Director, Globespan Capital Partners. “Nantero has multiple industry-leading customers who would like to receive NRAM even sooner. The fact that several of these customers, as well as key partners in the ecosystem, have decided to also invest in Nantero is a strong sign of confidence given how well they know Nantero and its product from years of working together.”

“The customer traction we’ve achieved at Nantero has been overwhelming, as evidenced by our recent announcement that NRAM had been selected by both Fujitsu Semiconductor and Mie Fujitsu Semiconductor,” said Greg Schmergel, Co-Founder & CEO of Nantero. “With this additional funding, we will be able to help these existing customers speed their time to market while also supporting the many other companies that have approached us about using Nantero NRAM in their next generation products.”

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Money makes the world go round, or so they say. Payments, investments, insurance and billions of transactions are the beating heart of a fractal economy, which echoes the messy complexity of natural systems, such as the growth of living organisms and the bouncing of atoms.

Financial systems are larger than the sum of their parts. The underlying rules that govern them might seem simple, but what surfaces is dynamic, chaotic and somehow self-organizing. And the blood that flows through this fractal heartbeat is data.

Today, 2.5 exabytes of data are being produced daily. That number is expected to grow to 44 zettabytes a day by 2020 (Source: GigaOm). This data, along with interconnectivity, correlation, predictive analytics and machine learning, provides the foundation for our AI-powered future.

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I believe we’re really looking at less than 10yrs given the speed of evolution of QC to date. Instead of two new QC discoveries each year to advance QC; we’re now seeing 2 new discoveries every 2 months now not to mention China and US advancements on networking and communications and scalable QC for devices which Google plans to release their QC device in 2017.


Quantum computers could bring about a quantum leap in processing power, with countless benefits for fields like data science and AI. But there’s also a dark side: this extra power will make it simple to crack the encryption keeping everything from our emails to our online banking secure.

A recent report from the Global Risk Institute predicted that there is a one in seven chance vital cryptography tools will be rendered useless by 2026, rising to a 50% chance by 2031. In the meantime, hackers and spies can hoover up data encrypted using current approaches and simply wait until quantum computers powerful enough to crack the code have been developed.

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Longevity a challenge or an opportunity?

This autumn, The Economist Events will bring global leaders from business, finance and health care together with policymakers to explore the opportunities of an ageing world.

Together they will discuss how best to adapt financial products and realign business and public policies in ways that will drive economic growth and mitigate problems that ageing societies could otherwise bring.

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