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Category: supercomputing – Page 101

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

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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Scientists successfully test ‘biological supercomputer’ performing complex tasks

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.

Building Living, Breathing Supercomputers

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

“We’ve managed to create a very complex network in a very small area,” says Dan Nicolau, Sr. with a laugh. He began working on the idea with his son, Dan Jr., more than a decade ago and was then joined by colleagues from Germany, Sweden and The Netherlands, some 7 years ago. “This started as a back of an envelope idea, after too much rum I think, with drawings of what looked like small worms exploring mazes.”

Big Data And Quantum Computers

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.

Such topological systems are especially useful for analyzing the connections in complex networks, such as the internal wiring of the brain, the U.S. power grid, or the global interconnections of the Internet. But even with the most powerful modern supercomputers, such problems remain daunting and impractical to solve. Now, a new approach that would use quantum computers to streamline these problems has been developed by researchers at MIT, the University of Waterloo, and the University of Southern California…

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Marvin Minsky, Pioneer in Artificial Intelligence, Dies at 88

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.

“Marvin was one of the very few people in computing whose visions and perspectives liberated the computer from being a glorified adding machine to start to realize its destiny as one of the most powerful amplifiers for human endeavors in history,” said Alan Kay, a computer scientist and a friend and colleague of Professor Minsky’s.

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

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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Researchers have achieved the next breakthrough in quantum physics

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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DARPA’s to-be built wetware to prove immensely beneficial in medicine field

BMI is an area that will only explode when the first set of successful tests are presented to the public. I suggest investors, technologists, and researchers keep an eye on this one because it’s own impact to the world is truly inmense especially when you realize BMI changes everything in who we view how we process and connect with others, business, our homes, public services, transportation, healthcare, etc.

Implantable brain-machine interfaces (BMI) that will allow their users to control computers with thoughts alone will soon going to be a reality. DARPA has announced its plans to make such wetware. The interface would not be more than two nickels placed one on the other.

These implantable chips as per the DARPA will ‘open the channel between the human brain and modern electronics’. Though DARPA researchers have earlier also made few attempts to come up with a brain-machine interface, previous versions were having limited working.

The wetware is being developed a part of the Neural Engineering System Design (NESD) program. The device would translate the chemical signals in neurons into digital code. Phillip Alvelda, the NESD program manager, said, “Today’s best brain-computer interface systems are like two supercomputers trying to talk to each other using an old 300-baud modem. Imagine what will become possible when we upgrade our tools to really open the channel between the human brain and modern electronics”.

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