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Category: computing – Page 851

(Phys.org)—Researchers have designed and implemented an algorithm that solves computing problems using a strategy inspired by the way that an amoeba branches out to obtain resources. The new algorithm, called AmoebaSAT, can solve the satisfiability (SAT) problem—a difficult optimization problem with many practical applications—using orders of magnitude fewer steps than the number of steps required by one of the fastest conventional algorithms.

The researchers predict that the amoeba-inspired may offer several benefits, such as high efficiency, miniaturization, and low , that could lead to a new computing paradigm for nanoscale high-speed .

Led by Masashi Aono, Associate Principal Investigator at the Earth-Life Science Institute, Tokyo Institute of Technology, and at PRESTO, Japan Science and Technology Agency, the researchers have published a paper on the amoeba-inspired system in a recent issue of Nanotechnology.

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A new chip designed for the brain is now wireless. Now that it is no longer connected using wires, will it compromise its accuracy?

The Nanyang Technological University in Singapore has developed a smart chip that can be used for neural implants in order to wirelessly transmit brain signals to the rest of the body with 95% accuracy. These neural implants, and the data that they register, are expected to help curtail symptoms of diseases like Parkinson’s, and they could also help paraplegic patients move their prosthetic limbs.

For operations, external devices can use the the 5mm by 5mm chip to receive and analyze data before sending back important details, instead of sending the entire data stream all at once. This drastically decreases its power consumption, making the tech far more viable.

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The 5 Dimensional Black Hole could break the theory of relativity: Simulation suggests strange rings with ‘ultragravity’ that defy physics may exist.

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Researchers from the University of Cambridge and Queen Mary University of London made the discovery after simulating a black hole shaped like a very thin ring using computer models.

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Big Blue is cool again according to investors.

NEW YORK: Here’s a vexing question for artificial mega-brain Watson: Why is IBM stock surging? Big Blue’s market value rose about $6 billion after the computer giant agreed on Thursday to buy Truven Health Analytics for $2.6 billion. Giving IBM’s artificial-intelligence platform more data to chew on is useful, but investors’ glee over an opaque addition to an enigmatic business effort is confusing.

Big Blue’s top line has been shrinking steadily for nearly four years. In the fourth quarter of 2015, all major divisions had declining sales, with overall revenue falling 8.5 percent compared with the same period a year earlier. Clients need less of IBM’s hardware, and its software and consulting businesses are faltering in competition with rivals’ cloud-based versions.

The upshot is a falling share price. It has dropped about 25 percent in the past four years, while the S&P 500 has risen about 40 percent.

Continue reading “Why is IBM surging?” | >

This agreement places Oxford in a very nice position.

Quantum transport measurements are widely used in characterising new materials and devices for emerging quantum technology applications such as quantum information processing (QIP), quantum computing (QC) and quantum sensors. Such devices hold the potential to revolutionise future technology in high performance computing and sensing in the same way that semiconductors and the transistor did over half a century ago.

Physicists have long used standard electrical transport measurements such as resistivity, conductance and the Hall effect to gain information on the electronic properties and structure of materials. Now quantum transport measurements such as the quantum Hall effect (QHE) and fractional quantum Hall effect (FQHE) in two-dimensional electron gases (2DEG) and topological insulators – along with a range of other more complex measurements – inform researchers on material properties with quantum mechanical effects.

The ultra low temperatures and high magnetic fields provided by Oxford Instruments’ TritonTM dilution refrigerator make it a key research tool in revealing the quantum properties of many materials of interest. SPECS’ Nanonis Tramea QTMS is a natural complementary partner to the Triton, with its fast, multi-channel measurements.

Continue reading “Oxford Instruments and SPECS Surface Nano Analysis GmbH sign agreement for Nanonis Tramea quantum transport measurement system” | >

IBM leads the way on AI — definitely makes sense and should given the years of research & funding spent on Watson. It would be really place IBM in a bad position not to be a leader in in AI especially since it has spent so many years on cognitive computing technology.

While Google and Facebook are taking the headlines with their advancements in Artificial Intelligence, another company is making some big strides behind the scenes. The ever resilient IBM has come up with an interesting strategy to garner attention for it’s cognitive computing technology “Watson “.

Here is Why IBM May Develop a Better AI than Google or Facebook Clapway

IBM HOLDS $5 MILLION CONTEST FOR AI

Continue reading “Here is Why IBM May Develop a Better AI than Google or Facebook” | >

Neural networks have become enormously successful – but we often don’t know how or why they work. Now, computer scientists are starting to peer inside their artificial minds.

A PENNY for ’em? Knowing what someone is thinking is crucial for understanding their behaviour. It’s the same with artificial intelligences. A new technique for taking snapshots of neural networks as they crunch through a problem will help us fathom how they work, leading to AIs that work better – and are more trustworthy.

In the last few years, deep-learning algorithms built on neural networks – multiple layers of interconnected artificial neurons – have driven breakthroughs in many areas of artificial intelligence, including natural language processing, image recognition, medical diagnoses and beating a professional human player at the game Go.

The trouble is that we don’t always know how they do it. A deep-learning system is a black box, says Nir Ben Zrihem at the Israel Institute of Technology in Haifa. “If it works, great. If it doesn’t, you’re screwed.”

Neural networks are more than the sum of their parts. They are built from many very simple components – the artificial neurons. “You can’t point to a specific area in the network and say all of the intelligence resides there,” says Zrihem. But the complexity of the connections means that it can be impossible to retrace the steps a deep-learning algorithm took to reach a given result. In such cases, the machine acts as an oracle and its results are taken on trust.

Continue reading “Brain scan for artificial intelligence shows how software thinks” | >

InVisage has just announced their release of a new Infrared scanner for eye scan security recognition device. Since InVisage also developed and release a new film leveraging Q-Dot technology; the scanner is also leveraging this technology for more accurate readings and imaging.

InVisage’s new image sensor for infrared cameras could help drones avoid trees and could aid virtual reality headsets in seeing where you’re pointing.

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