Digitising Business —
At the bleeding edge of AI: Quantum grocery picking and transfer learning.
Computer vision, neural nets, and deep learning are hot topics at UK R&D centres.
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Stockholm: The Nobel Physics prize was the second of the awards to be given away, on Tuesday, to a Birtish trio — scientists David Thouless, Duncan Haldane and Michael Kosterlitz for revealing the secrets of exotic matter.
Thouless, 82, is professor emeritus at the University of Washington in Seattle. Haldane, 65, is a professor at Princeton University, and Kosterlitz, born in 1942, teaches at Brown University in Providence, Rhode Island. The laureates will share the eight million Swedish kronor (around $931,000 or 834,000 euros) prize sum. Thouless won one-half of the prize, while Haldane and Hosterlitz share the other half.
“This year’s laureates opened the door on an unknown world where matter can assume strange states. They have used advanced mathematical methods to study unusual phases, or states, of matter, such as superconductors, superfluids or thin magnetic films. Thanks to their pioneering work, the hunt is now on for new and exotic phases of matter,” said the Nobel jury.
Single neutral atoms trapped individually in optical microtraps are incredibly useful tools for studying quantum physics, as the atoms then exist in complete isolation from the environment. Arrays of optical microtraps containing single atoms could enable quantum logic devices, quantum information processing, and quantum simulation.
While single atom trapping has already been achieved, there are still many challenges to overcome. One such challenge is making sure each trap holds no more than one atom at a time, and also keeping it there so it won’t escape. This requires uniform optical microtraps, which have yet been fully realized.
Now, Ken’ichi Nakagawa and co‐workers at the University of Electro‐Communications, Tokyo, Japan, together with scientists across Japan and China, have successfully demonstrated an optimization method for ensuring the creation of uniform holographic microtrap arrays to capture single rubidium (87Rb) atoms.
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Computation is stuck in a rut. The integrated circuits that powered the past 50 years of technological revolution are reaching their physical limits.
This predicament has computer scientists scrambling for new ideas: new devices built using novel physics, new ways of organizing units within computers and even algorithms that use new or existing systems more efficiently. To help coordinate new ideas, Sandia National Laboratories has assisted organizing the Institute of Electrical and Electronics Engineers (IEEE) International Conference on Rebooting Computing held Oct. 17–19.
Researchers from Sandia’s Data-driven and Neural Computing Dept. will present three papers at the conference, highlighting the breadth of potential non-traditional neural computing applications.
This type of computer not really 4 personal use. Because it calculates in every possible way its task in a fraction of second. I belive that this type of computer is built to run ai. Or to run recognition software just to give example. But just imagine the possibilities.
Quantum physics, with its descriptions of bizarre properties like entanglement and superposition, can sound like a science fiction fever dream. Yet this branch of physics, no matter how counterintuitive it seems sometimes, describes the universe all around us: As physicists have told often told me, we live in a quantum world. Soon, this will be better reflected in our technology, and everything it can do.
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(Phys.org)—Researchers have used the pressure of light—also called optical forces or sometimes “tractor beams”—to create a new type of rewritable, dynamic 3D holographic material. Unlike other 3D holographic materials, the new material can be rapidly written and erased many times, and can also store information without using any external energy. The new material has potential applications in 3D holographic displays, large-scale volumetric data storage devices, biosensors, tunable lasers, optical lenses, and metamaterials.
The research was conducted by a multidisciplinary team led by Yunuen Montelongo at Imperial College London and Ali K. Yetisen at Harvard University and MIT. In recent papers published in Nature Communications and Applied Physics Letters, the researchers demonstrated the reversible optical manipulation of nanostructured materials, which they used to fabricate active 3D holograms, lenses, and memory devices.
The key to creating the 3D holographic material with these advantages was to use optical forces to reversibly modify the material’s properties. The optical forces are produced by the interference of two or more laser beams, which creates an optical pressure capable of moving nanoscale structures. So far, optical forces have mainly been used for just one application: optical tweezers, which can hold and move tiny objects and are mostly used in biological applications.
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Most people will be familiar with Moore’s Law which states that the number of transistors it’s possible to get on a microprocessor doubles every 18 months. If this holds true it means that some time in the 2020s we’ll be measuring these circuits on an atomic scale.
You might think that that’s where everything comes to a juddering halt. But the next step from this is the creation of quantum computers which use the properties of atoms and molecules to perform processing and memory tasks.
If this all sounds a bit sci-fi, it’s because practical quantum computers are still some way in the future. However, scientists have already succeeded in building basic quantum computers that can perform certain calculations. And when practical quantum computing does arrive it has the potential to bring about a change as great as that delivered by the microchip.
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Check this out.
Engineers at the University of Massachusetts Amherst are leading a research team that is developing a new type of nanodevice for computer microprocessors that can mimic the functioning of a biological synapse—the place where a signal passes from one nerve cell to another in the body. The work is featured in the advance online publication of Nature Materials.
Such neuromorphic computing in which microprocessors are configured more like human brains is one of the most promising transformative computing technologies currently under study.
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