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Archive for the ‘computing’ category: Page 819

Sep 11, 2015

The First Human Head Transplant Will Take Place in 2017

Posted by in categories: biotech/medical, computing, genetics, neuroscience

Italian neurosurgeon Sergio Canavero grabbed the world’s attention this past winter when he announced his plans to perform the first human head transplant. Many doubted that such an outrageous procedure would ever see the light of day. Now, Canavero has a date on the books.

Thirty-year-old Russian computer scientist Valery Spiridonov is set to become the world’s first head transplant patient in December 2017. Spiridonov suffers from a rare genetic muscle-wasting condition known as Werdnig-Hoffmann disease. There’s currently no known treatment.

As you might not want to imagine, the procedure will be filled with challenges and uncertainties. There’s the hair-raising possibility that the head will reject the body or vice versa. The spinal cord might not fuse properly. Even if everything goes well, there’s no telling whether Spiridonov’s mental capacities or personality will remain the same. He’s embarking on totally uncharted medical territory.

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Sep 9, 2015

Robot mother builds and improves its own children

Posted by in categories: computing, engineering, robotics/AI

We developed a robot that creates robots.


Scientists from the University of Cambridge have built a mother robot that independently builds its own children and then tests their performance to inform the design of the next generation. By analyzing the data it collects from observing the child, the mother robot ensures that preferential traits are passed down to the next iteration, while letting weaknesses fall by the wayside.

“We developed a robot that creates robots. And basically we have a mother robot that combines active and passive modules using glue to make other children robots. And these robots, as the mother creates them and puts them to work, she evaluates how they’re behaving and she uses the data from this behavior to create the next generation of robots,” explained Andre Rosendo, who worked on the project at the University’s Department of Engineering.

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Sep 8, 2015

Intel 6th generation core processor for triple battery life and 2.5 times better performance

Posted by in categories: computing, energy

Intel Corporation introduced the 6th Generation Intel® Core™ processor family, the company’s best processors ever. The launch marks a turning point in people’s relationship with computers. The 6th Gen Intel Core processors deliver enhanced performance and new immersive experiences at the lowest power levels ever and also support the broadest range of device designs – from the ultra-mobile compute stick, to 2 in 1s and huge high-definition All-in-One desktops, to new mobile workstations.

There are over 500 million computers in use today that are four to five years old or older. They are slow to wake, their batteries don’t last long, and they can’t take advantage of all the new experiences available today.

Built on the new Skylake microarchitecture on Intel’s leading 14nm manufacturing process technology.

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Sep 8, 2015

ErgoQuest Zero Gravity Workstations

Posted by in category: computing

Work at your computer in a zero stress position. Get past the pain and back to work.

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Sep 8, 2015

Nanotubes open new path toward quantum information technologies

Posted by in categories: computing, materials, nanotechnology, quantum physics, security

“Beyond implementation of quantum communication technologies, nanotube-based single photon sources could enable transformative quantum technologies including ultra-sensitive absorption measurements, sub-diffraction imaging, and linear quantum computing. The material has potential for photonic, plasmonic, optoelectronic, and quantum information science applications…”


In optical communication, critical information ranging from a credit card number to national security data is transmitted in streams of laser pulses. However, the information transmitted in this manner can be stolen by splitting out a few photons (the quantum of light) of the laser pulse. This type of eavesdropping could be prevented by encoding bits of information on quantum mechanical states (e.g. polarization state) of single photons. The ability to generate single photons on demand holds the key to realization of such a communication scheme.

By demonstrating that incorporation of pristine into a silicon dioxide (SiO2) matrix could lead to creation of solitary oxygen dopant state capable of fluctuation-free, room-temperature single , Los Alamos researchers revealed a new path toward on-demand single photon generation. Nature Nanotechnology published their findings.

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Sep 4, 2015

Why’s IBM Investing $3 Billion In Quantum Computing & Synth Brains? Trillion Dollar Humanoid Market

Posted by in categories: computing, neuroscience, quantum physics, transportation

1. Silicon technology has taken humanity a long way forward from 1947 when the first transistor was invented by the Nobel prize winners Shockley, Bardeen & Brattain.

2. From smart mobile telephones we rely on to the sophisticated satellite navigation systems guiding our cars, a lot of techno-magic we see around us is a result of our ability to scale silicon-tech that turns hitherto science fiction into everyday reality at affordable prices.

3. All the Nobel laureates, scientists and engineers we liaise with at Quantum Innovation Labs http://QiLabs.net collectively realise the end of the silicon-scaling era is coming to end as the Moore’s Law era for Silicon-based computers finally concludes.

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Sep 4, 2015

The 10 Algorithms That Dominate Our World

Posted by in categories: computing, encryption, information science

1. Google Search.

2. Facebook’s News Feed.

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Sep 4, 2015

Interesting Photo

Posted by in category: computing

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Sep 4, 2015

Squishy transistors—a device concept for fast, low-power electronics

Posted by in categories: computing, electronics

An international team of researchers from the National Physical Laboratory (NPL), IBM, the University of Edinburgh and Auburn University have shown that a new device concept — a ‘squishy’ transistor — can overcome the predicted power bottleneck caused by CMOS (complementary metal-oxide-semiconductor) technology reaching its fundamental limits.

Moore’s law predicted that the number of transistors able to fit on a given die area would double every two years. As transistor density doubled, chip size shrank and processing speeds increased. This march of progress led to rapid advances in and a surge in the number of interconnected devices. The challenge with making anything smaller is that there are fundamental physical limits that can’t be ignored and we are now entering the final years of CMOS transistor shrinkage.

Furthermore, this proliferation is driving an increase in data volume, accompanied by rising demands on energy to process, store and communicate it all; as a result, IT infrastructure now draws an estimated 10 % of the world’s electrical power. Previous efforts have focused on remediation by reducing the amount of energy per bit. However, soon we will hit a power barrier that will prevent continued voltage scaling. The development of novel, low-power devices based on different physical principles is therefore crucial to the continued evolution of IT.

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Sep 3, 2015

Startup claims a breakthrough in brain-like computing on chips

Posted by in categories: computing, robotics/AI, transportation

A small, Santa Fe, New Mexico-based company called Knowm claims it will soon begin commercializing a state-of-the-art technique for building computing chips that learn. Other companies, including HP HPQ and IBM IBM, have already invested in developing these so-called brain-based chips, but Knowm says it has just achieved a major technological breakthrough that it should be able to push into production hopefully within a few years.

The basis for Knowm’s work is a piece of hardware called a memristor, which functions (warning: oversimplification coming) by mimicking synapses in the brain. Rather than committing certain information to a software program and traditional computing memory, memristors are able to “learn” by strengthening the electrical charge between two resistors (the “ristor” part of memristor) much like synapses strengthen connections between commonly used neurons in the brain.

Done correctly—and this is the result that HP and IBM are after—memristors can make computer chips much smarter, but also very energy efficient. That could mean data centers that don’t use as much energy as small towns, as well as more viable robotics, driverless cars, and other autonomous devices. Alex Nugent, Knowm’s founder and CEO, says memristors—especially the ones his company is working on—offer “a massive leap in efficiency” over traditional CPUs, GPUs, and other hardware now used to power artificial intelligence workloads.

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