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Category: computing – Page 655

Oxidation numbers have so far eluded any rigorous quantum mechanical definition. A new SISSA study, published in Nature Physics, provides such a definition based on the theory of topological quantum numbers, which was honored with the 2016 Nobel Prize in Physics, awarded to Thouless, Haldane and Kosterlitz. This result, combined with recent advances in the theory of transport achieved at SISSA, paves the way to an accurate, yet tractable, numerical simulation of a broad class of materials that are important in energy-related technologies and planetary sciences.

Every undergraduate student in the natural sciences learns how to associate an integer oxidation number to a chemical species participating in a reaction. Unfortunately, the very concept of oxidation state has thus far eluded a rigorous quantum mechanical definition, so that no method was known until now to compute oxidation numbers from the fundamental laws of nature, let alone demonstrate that their use in the simulation of charge transport does not spoil the quality of numerical simulations. At the same time, the evaluation of electric currents in ionic conductors, which is required to model their transport properties, is presently based on a cumbersome quantum-mechanical approach that severely limits the feasibility of large-scale computer simulations. Scientists have lately noticed that a simplified model where each atom carries a charge equal to its oxidation number may give results in surprising good agreement with rigorous but much more expensive approaches.

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Condensation might ruin a wood coffee table or fog up glasses when entering a warm building on a winter day, but it’s not all inconveniences; the condensation and evaporation cycle has important applications.

Water can be harvested from “thin air,” or separated from salt in desalination plants by way of . Due to the fact condensing take heat with them when they evaporate, it’s also part of the cooling process in the industrial and high-powered computing arenas. Yet when researchers took a look at the newest method of condensation, they saw something strange: When a special type of is covered in a thin layer of oil, condensed water droplets seemed to be randomly flying across the surface at high velocities, merging with larger droplets, in patterns not caused by gravity.

“They’re so far apart, in terms of their own, relative dimensions”—the droplets have a diameter smaller than 50 micrometers—” and yet they’re getting pulled, and moving at really high velocities,” said Patricia Weisensee, assistant professor of mechanical engineering & materials science in the McKelvey School of Engineering at Washington University in St. Louis.

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I’m super excited to share this new Quartz article of mine, part of an ongoing personal debate about #transhumanism, #kids, and #education in my family:

But the age of downloading experience and expertise directly into our brain mainframe is coming. So is downloading professional training, including everything from becoming a police officer to practicing medicine or investigative journalism.

For many in the audience, I think that was the first time considering this could become a reality in our lifetime.

But in plenty of instances, brainwave tech is already here. People fly drones using mind-reading headsets. Parkinson’s disease patients can use brain chips to calm shaking attacks. Machine interfaces let people silently communicate mind-to-mind with one another, or with devices.

Continue reading “In 15 years we’ll be able to upload education to our brains. So can I stop saving for my kids’ college?” | >

Student from Canberra, Australia confirms that ‘near’ infinite data compression is possible.

Has proven that ‘near’ infinite compression of data is possible. Can shrink Terabytes of data to under 1440KB.Could technically store known, or ‘explored’, universe in an object smaller than a grapefruit.

  • (Smaller than a grapefruit seed in fact!).
  • How close to ‘zero’ (infinite) can you get?, much smaller than 1440KB he’ll say that much.
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Conscious “free will” is problematic because brain mechanisms causing consciousness are unknown, measurable brain activity correlating with conscious perception apparently occurs too late for real-time conscious response, consciousness thus being considered “epiphenomenal illusion,” and determinism, i.e., our actions and the world around us seem algorithmic and inevitable. The Penrose–Hameroff theory of “orchestrated objective reduction (Orch OR)” identifies discrete conscious moments with quantum computations in microtubules inside brain neurons, e.g., 40/s in concert with gamma synchrony EEG. Microtubules organize neuronal interiors and regulate synapses. In Orch OR, microtubule quantum computations occur in integration phases in dendrites and cell bodies of integrate-and-fire brain neurons connected and synchronized by gap junctions, allowing entanglement of microtubules among many neurons. Quantum computations in entangled microtubules terminate by Penrose “objective reduction (OR),” a proposal for quantum state reduction and conscious moments linked to fundamental spacetime geometry. Each OR reduction selects microtubule states which can trigger axonal firings, and control behavior. The quantum computations are “orchestrated” by synaptic inputs and memory (thus “Orch OR”). If correct, Orch OR can account for conscious causal agency, resolving problem 1. Regarding problem 2, Orch OR can cause temporal non-locality, sending quantum information backward in classical time, enabling conscious control of behavior. Three lines of evidence for brain backward time effects are presented. Regarding problem 3, Penrose OR (and Orch OR) invokes non-computable influences from information embedded in spacetime geometry, potentially avoiding algorithmic determinism. In summary, Orch OR can account for real-time conscious causal agency, avoiding the need for consciousness to be seen as epiphenomenal illusion. Orch OR can rescue conscious free will.

Keywords: microtubules, free will, consciousness, Penrose-Hameroff Orch OR, volition, quantum computing, gap junctions, gamma synchrony.

We have the sense of conscious control of our voluntary behaviors, of free will, of our mental processes exerting causal actions in the physical world. But such control is difficult to scientifically explain for three reasons:

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Hi all.

Up until now, chip-makers have been piggybacking on the renowned Moore’s Law for delivering successive generations of chips that have more compute capabilities and are less power hungry. Now, these advancements are slowly coming to a halt. Researchers around the world are proposing alternative architectures to continue producing systems which are faster and more energy efficient. This article discusses those alternatives and reasons why one of them might have an edge over others in averting the chip design industry from getting stymied.

Moore’s law, or to put it differently — savior of chip-makers worldwide — was coined by Dr. Gordon Moore, the founder of Intel Corp, in 1965. The law states that the number of transistors on a chip would double every 2 years. But why the savior of chip-makers? This law was so powerful during the semiconductor boom that “people would auto-buy the next latest and greatest computer chip, with full confidence that it would be better than what they’ve got”, said former Intel engineer Robert P. Colwell. Back in the day writing a program with bad performance was not an issue as the programmer knew that Moore’s law would ultimately save him.

Problem that we are facing today is, the law is nearly dead! Or to avert from offending Moore fans — as Henry Samueli, chief technology officer for Broadcom says.

Continue reading “Neuromorphic Hardware: Trying to Put Brain Into Chips” | >