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Archive for the ‘supercomputing’ category: Page 83

Mar 2, 2016

Scientists Create Functional Model of a Living and Breathing Supercomputer

Posted by in categories: bioengineering, energy, supercomputing

In what appears at first to be a storyline ripped from a sci-fi thriller, a multi-national research team spread across two continents, four countries, and ten years in the making have created a model of a supercomputer that runs on the same substance that living things use as an energy source.

Humans and virtually all living things rely on Adenosine triphosphate ( ATP ) to provide the energy our cells need to perform daily functions. The biological computer created by the team led by Professor Dan Nicolau, Chair of the Department of Bioengineering at McGill, also relies on ATP for power.

The biological computer is able to process information very quickly and operates accurately using parallel networks like contemporary massive electronic super computers. In addition, the model is lot smaller in size, uses relatively less energy, and functions using proteins that are present in all living cells.

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Mar 1, 2016

Peter Wittek, a roving adventurer between machine intelligence and quantum physics

Posted by in categories: quantum physics, robotics/AI, supercomputing

I must admit, when people see that you work with Quantum Computing and/ or networking; they have no idea how to classify you because you’re working on Nextgen “disruptive” technology that most of mainstream has not been exposed to.


Peter Wittek and I met more than a decade ago while he was an exchange student in Singapore. I consider him one of the most interesting people I’ve met and an inspiration to us all.

Currently, he is a research scientist working on quantum machine learning, an emergent field halfway between data science and quantum information processing. Peter also has a long history in machine learning on supercomputers and large-scale simulations of quantum systems. As a former digital nomad, Peter has been to over a hundred countries, he is currently based in Barcelona where, outside work hours, he focuses on dancing salsa, running long distances, and advising startups.

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Feb 29, 2016

Scientists successfully test ‘biological supercomputer’ performing complex tasks

Posted by in category: supercomputing

Researchers have taken on the problem of reducing a super computer the size of a basketball field to that of a book. The answer is “biocomputers” – incredibly powerful machines capable of performing multiple calculations with a fraction of energy.

According to study coordinator Heiner Linke, who heads nanoscience at Lund University in Sweden, “a biocomputer requires less than one percent of the energy an electronic transistor needs to carry out one calculation step.”

A biocomputer is useful because ordinary computers are incapable of solving combinational problems, such as those dealing with cryptography or other tasks requiring that a multitude of possible solutions be considered before deciding on the optimal one. These already exist, but the new research from Lund tackles the key problems of scalability and energy efficiency.

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Feb 26, 2016

Building Living, Breathing Supercomputers

Posted by in categories: bioengineering, energy, supercomputing

The substance that provides energy to all the cells in our bodies, Adenosine triphosphate (ATP), may also be able to power the next generation of supercomputers. The discovery opens doors to the creation of biological supercomputers that are about the size of a book. That is what an international team of researchers led by Prof. Nicolau, the Chair of the Department of Bioengineering at McGill, believe. They’ve published an article on the subject earlier this week in the Proceedings of the National Academy of Sciences (PNAS), in which they describe a model of a biological computer that they have created that is able to process information very quickly and accurately using parallel networks in the same way that massive electronic super computers do.

Except that the model bio supercomputer they have created is a whole lot smaller than current supercomputers, uses much less energy, and uses proteins present in all living cells to function.

Doodling on the back of an envelope

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Feb 16, 2016

Could a robot run for U.S. president in 2020?

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

A fun story:


Advances in artificial intelligence have raised the question of a supercomputer running for office.

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Feb 8, 2016

Step aside Trump – Should IBM’s artificially intelligent supercomputer Watson be US president?

Posted by in categories: education, health, robotics/AI, supercomputing

Someday this could happen as well as US congress, Supreme Court, the UN, Nato, IAEA, WTO, World Bank, etc.


IBM’s AI researchers seem to favour recreational drug use, free university education and free healthcare.

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Jan 25, 2016

Big Data And Quantum Computers

Posted by in categories: energy, internet, nanotechnology, neuroscience, quantum physics, robotics/AI, singularity, space travel, supercomputing, wearables

Luv the whole beautiful picture of a Big Data Quantum Computing Cloud. And, we’re definitely going to need it for all of our data demands and performance demands when you layer in the future of AI (including robotics), wearables, our ongoing convergence to singularity with nanobots and other BMI technologies. Why we could easily exceed $4.6 bil by 2021.


From gene mapping to space exploration, humanity continues to generate ever-larger sets of data—far more information than people can actually process, manage, or understand.

Machine learning systems can help researchers deal with this ever-growing flood of information. Some of the most powerful of these analytical tools are based on a strange branch of geometry called topology, which deals with properties that stay the same even when something is bent and stretched every which way.

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Jan 25, 2016

Marvin Minsky, Pioneer in Artificial Intelligence, Dies at 88

Posted by in categories: robotics/AI, supercomputing

Sad day for AI & RIP Mr. Minsky — Early AI Pioneer.


His family said the cause was a cerebral hemorrhage.

Well before the advent of the microprocessor and the supercomputer, Professor Minsky, a revered computer science educator at M.I.T., laid the foundation for the field of artificial intelligence by demonstrating the possibilities of imparting common-sense reasoning to computers.

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Jan 23, 2016

Engineers at Yale develop quantum chip, Next step — a programmable quantum processor

Posted by in categories: computing, quantum physics, robotics/AI, supercomputing

Every month, we’re seeing more and more researchers and companies break the Quantum barrier by making their own Quantum Chip. Yale is the latest ones to introduce their own Quantum Chip. Next stop; a programmable Quantum Processor


In what can only be termed as a big step in the manufacture of practical quantum circuits, engineers from the Yale School of Engineering and Applied Science have created a silicon chip embedded with all the required components for a quantum processor.

Quantum computers are often portrayed as the next step in computer technology, and with good reason. Theoretically, a quantum computer would be thousands of times faster than today’s fastest supercomputers. They could also help in the creation of a practically capable AI. Quantum computers would drastically improve humanity’s data processing capabilities, and that is why researchers have been working for years towards their realization.

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Jan 23, 2016

Researchers have achieved the next breakthrough in quantum physics

Posted by in categories: quantum physics, supercomputing

An international team of scientists has managed to create a quantum knot for the first time — a fundamental breakthrough in quantum physics that could one day help power the supercomputers of the future.

These knots aren’t quite the same as the ones you might tie to moor a boat to a jetty — they’ve been made in a superfluid form of quantum matter called Bose-Einstein Condensate, or BEC, and are more like smoke rings than traditional knots.

“For decades, physicists have been theoretically predicting that it should be possible to have knots in quantum fields, but nobody else has been able to make one,” said lead researcher, Mikko Möttönen.

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