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Archive for the ‘finance’ category: Page 133

Dec 18, 2016

Bitcoin Arbitrage: Can you profit?

Posted by in categories: bitcoin, cryptocurrencies, economics, finance, internet

At Quora, I occasionally play, “Ask the expert”. Today, I was asked if the difference between quotes at various Bitcoin exchanges presents a profit opportunity.

In addition to my answer, one other cryptocurrency enthusiast offered pithy, one-line response: He said “Buy local, sell internationally and pocket the difference!” I tend to believe the opposite is more likely to generate profit: Buy internationally and sell locally. But, I am getting ahead of myself. Here is my answer [co-published at Quora]…


Question:
A Bitcoin exchange in my country quotes a different rate than
international markets. Can I profit from the price difference?

Answer:
Buying and selling a commodity with the intention of profiting from the difference in price in various markets, regions or exchanges is called arbitrage. Typically, the item must be widely traded and fungible. Although it can be a tangible item (one that must be delivered or stored, like gold, oil, frozen orange juice or soy beans), arbitrage is more practical when applied to an ‘item of account’, such as foreign currency, equity shares, stock futures, or Bitcoin.

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Dec 15, 2016

MSFT Stock: Is This Microsoft Corporation’s (MSFT) Next Big Play?

Posted by in categories: finance, robotics/AI, supercomputing

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)

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Dec 14, 2016

CellAge: Senescent Cell Targeting Technology Video

Posted by in categories: bioengineering, biotech/medical, finance, genetics, health, life extension

Synthetic biology meets senolytics at Lifespan.io

We are developing tools to help researchers accurately target and remove dysfunctional cells in the body that have entered a state called “senescence”, and thereby assist in restoring it to youthful functionality. Please subscribe, share, and fund our campaign today! ►Campaign Link: https://www.lifespan.io/campaigns/cellage-targeting-senescen…c-biology/ ►Subscribe: https://www.youtube.com/user/LifespanIO?sub_confirmation=1

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Dec 14, 2016

CellAge: Dr. Aubrey de Grey Endorsement Video

Posted by in categories: bioengineering, biotech/medical, finance, genetics, health, life extension

Dr. Aubrey de Grey from the SENS Research Foundation was kind enough to talk in support of CellAge and their campaign on Lifespan.io

We are developing tools to help researchers accurately target and remove dysfunctional cells in the body that have entered a state called “senescence”, and thereby assist in restoring it to youthful functionality. Please subscribe, share, and fund our campaign today! ►Campaign Link: https://www.lifespan.io/campaigns/cellage-targeting-senescen…c-biology/ ►Subscribe: https://www.youtube.com/user/LifespanIO?sub_confirmation=1

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Dec 10, 2016

Quantum leaps needed for new computer approach

Posted by in categories: computing, finance, government, military, quantum physics

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.

Read more

Dec 8, 2016

Nanotero raises another $21 million to commercialize nanotube memory

Posted by in categories: computing, finance, nanotechnology

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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Dec 6, 2016

Artificial intelligence and the evolution of the fractal economy

Posted by in categories: biotech/medical, economics, finance, particle physics, robotics/AI

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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Nov 27, 2016

Video Of The Week: A Crypto Economy — By Fred Wilson | AVC

Posted by in categories: bitcoin, economics, finance

“It’s a fairly concise but expansive vision of what is possible to build with open public blockchains.”

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Nov 25, 2016

15 Percent of Big Banks Will Be Using Blockchain by 2017, Says IBM

Posted by in categories: bitcoin, finance

In Brief:

  • IBM surveyed 200 global banks and financial institutions as part of two recently released studies.
  • The widespread use of Blockchain could lead to more secure, efficient banking experiences.

Recent reports by IBM have revealed that by 2017, 15 percent of big banks worldwide and 14 percent of major financial institutions will be using Blockchain technology.

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Nov 24, 2016

Quantum Computers Could Crush Today’s Top Encryption in 15 Years

Posted by in categories: encryption, finance, quantum physics, robotics/AI

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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