Archive for the ‘computing’ category: Page 519

Apr 9, 2018

Skytran magnetic levitation personal pod transportation gets $32.5 million in funding

Posted by in categories: computing, transportation

Pod transportation company, Skytran, has received $32.5 million in funding. Skytran is a NASA Space Act company that is developing a pod-based personal rapid transportation system.

Some of the funding is from former CEO of Google Eric Schmidt.

They will have a network of computer-controlled, 2-person jet-like vehicles using SkyTran magnetic levitation technology.

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Apr 9, 2018

Fast, efficient optoelectronic chips to hit market next year

Posted by in categories: computing, security, transportation

MIT spin off company Ayar Labs is combining light and electronics to create faster, more efficient computers. The new optoelectronic chips are designed to speed up data transmission to and from conventional processor chips in a way that will also reduce energy consumption in chip-to-chip communications by 95 percent and could cut overall energy usages by large data firms by up to 50 percent.

Since the invention of the silicon chip 60 years ago, the power of computers has doubled every two years, but the speed at which computer systems work hasn’t shown quite such dramatic progress. The problem is one of data transmission and the bottlenecks that any technology runs into, slowing down the whole to the speed of its most sluggish part.

Think of a computer as like an air passenger system. If you concentrate on the aircraft, airport runway architecture, supply logistics, and air traffic control, it’s easy to speed up travel between, for example, New York and Washington DC to under one hour. That sounds fantastic, but if it takes you two hours to get through security at one hand and another two hours to collect your baggage at the other, then it’s faster to drive.

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Apr 1, 2018

How does science fiction influence the real world?

Posted by in categories: computing, Elon Musk, space travel, virtual reality

The tech-industry is led by sci-fi nerds who want to create the things they read about, or saw on screen.

We all stand to benefit, provided that is, they can avoid the ethical pitfalls depicted in science fiction.

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Mar 29, 2018

Microsoft inches closer to commercially-viable quantum computing

Posted by in categories: computing, particle physics, quantum physics

Microsoft’s quest to create a powerful quantum computer comes closer to reality with the help of an elementary particle.

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Mar 27, 2018

The future of photonics using quantum dots

Posted by in categories: computing, finance, quantum physics

Fiber-optic cables package everything from financial data to cat videos into light, but when the signal arrives at your local data center, it runs into a silicon bottleneck. Instead of light, computers run on electrons moving through silicon-based chips, which are less efficient than photonics. To break through, scientists have been developing lasers that work on silicon. Researchers now write that the future of silicon-based lasers may be in quantum dots.

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Mar 27, 2018

Putting quantum scientists in the driver’s seat

Posted by in categories: computing, quantum physics

Scientists at the Department of Energy’s Oak Ridge National Laboratory are conducting fundamental physics research that will lead to more control over mercurial quantum systems and materials. Their studies will enable advancements in quantum computing, sensing, simulation, and materials development.

The researchers’ experimental results were recently published in Physical Review B Rapid Communication and Optics Letters.

Quantum information is considered fragile because it can be lost when the system in which it is encoded interacts with its environment, a process called dissipation. Scientists with ORNL’s Computing and Computational Sciences and Physical Sciences directorates and Vanderbilt University have collaborated to develop methods that will help them control—or drive—the “leaky,” dissipative behavior inherent in .

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Mar 26, 2018

This blockchain-based surveillance startup detects crime in real-time

Posted by in categories: bitcoin, computing, neuroscience, security, surveillance

A security company wants to modernize the “backward-looking” and “inherently inefficient” video surveillance industry by offering a blockchain-based system which allows users to react to threats in real time.

Faceter’s decentralized surveillance technology – which it claims is a world first for consumers – “gives brains to cameras” by enabling them to instantly detect faces, objects and analyze video feeds. Although some B2B providers do offer similar features, the company claims they are currently too expensive for smaller firms and the public at large because of the “substantial computing resources” such technology needs.

According to Faceter’s white paper, Blockchain has the potential to make this solution affordable for everyone – as computing power for recognition calculations would be generated by a network of miners.

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Mar 23, 2018

Chip detects Legionnaires’ bacteria in minutes, not days

Posted by in categories: biotech/medical, computing

When the water in the rooftop cooling towers of a building’s air conditioning system gets infected with Legionella bacteria, people in the building can get potentially-fatal Legionnaires’ disease. Therefore, it’s important to check that water for the bacteria on a regular basis. A new chip is promised to do it faster than ever.

The typical method of checking for Legionella involves putting a water sample in a Petri dish, then waiting 10 to 14 days to see if any bacterial cultures grow. Unfortunately, populations of Legionella can reach outbreak levels is as short a period as one week. Additionally, if an outbreak has already occurred, then its source needs to be ascertained as fast as possible.

That’s why the new LegioTyper chip was created.

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Mar 23, 2018

Researchers find a new material for quantum computing

Posted by in categories: computing, engineering, quantum physics, security

Rumors of commercial quantum computing systems have been coming hot and heavy these past few years but there are still a number of issues to work out in the technology. For example, researchers at the Moscow Institute Of Physics And Technology have begun using silicon carbine to create a system to release single photons in ambient i.e. room temperature conditions. To maintain security quantum computers need to output quantum bits – essentially single photons. This currently requires a supercooled material that proves to be unworkable in the real world. From the release:

Photons — the quanta of light — are the best carriers for quantum bits. It is important to emphasize that only single photons can be used, otherwise an eavesdropper might intercept one of the transmitted photons and thus get a copy of the message. The principle of single-photon generation is quite simple: An excited quantum system can relax into the ground state by emitting exactly one photon. From an engineering standpoint, one needs a real-world physical system that reliably generates single photons under ambient conditions. However, such a system is not easy to find. For example, quantum dots could be a good option, but they only work well when cooled below −200 degrees Celsius, while the newly emerged two-dimensional materials, such as graphene, are simply unable to generate single-photons at a high repetition rate under electrical excitation.

Researchers used silicon carbide in early LEDs and has been used to create electroluminescent electronics in the past. This new system will allow manufacturers to place silicon carbide emitters right on the quantum computer chips, a massive improvement over the complex systems used today.

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Mar 22, 2018

Powerful New Algorithm Is a Big Step Towards Whole-Brain Simulation

Posted by in categories: computing, information science, neuroscience

The renowned physicist Dr. Richard Feynman once said: “What I cannot create, I do not understand. Know how to solve every problem that has been solved.”

An increasingly influential subfield of neuroscience has taken Feynman’s words to heart. To theoretical neuroscientists, the key to understanding how intelligence works is to recreate it inside a computer. Neuron by neuron, these whizzes hope to reconstruct the neural processes that lead to a thought, a memory, or a feeling.

With a digital brain in place, scientists can test out current theories of cognition or explore the parameters that lead to a malfunctioning mind. As philosopher Dr. Nick Bostrom at the University of Oxford argues, simulating the human mind is perhaps one of the most promising (if laborious) ways to recreate—and surpass—human-level ingenuity.

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