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Category: computing – Page 306

A discussion of the most unsettling solutions to the fermi paradox.
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2:33 Beginning.

Where are all the aliens?
Is there a solution to the fermi paradox?

Joining John Michael Godier is Dr. Stephen Webb, astronomer and author of ‘If the Universe Is Teeming with Aliens… WHERE IS EVERYBODY? Seventy Five Solutions to the Fermi Paradox and the Problem of Extraterrestrial Life’.

Continue reading “The Most Unsettling Solutions to the Fermi Paradox With Stephen Webb” | >

In other words, what appears to be emergent to us today, with our present limitations of what its within our power to compute, may someday in the future be describable in purely reductionist terms. Many such systems that were once incapable of being described via reductionism have, with superior models (as far as what we choose to pay attention to) and the advent of improved computing power, now been successfully described in precisely a reductionist fashion. Many seemingly chaotic systems can, in fact, be predicted to whatever accuracy we arbitrarily choose, so long as enough computational resources are available.

Yes, we can’t rule out non-reductionism, but wherever we’ve been able to make robust predictions for what the fundamental laws of nature do imply for large-scale, complex structures, they’ve been in agreement with what we’ve been able to observe and measure. The combination of the known particles that make up the Universe and the four fundamental forces through which they interact has been sufficient to explain, from atomic to stellar scales and beyond, everything we’ve ever encountered in this Universe. The existence of systems that are too complex to predict with current technology is not an argument against reductionism.

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Interest in gallium lagged in the past, partly because of the unfair association with toxic mercury, and partly because its tendency to form an oxide layer was seen as a negative. But with increased interest in flexible and, especially wearable electronics, many researchers are paying fresh attention.

To make bendable circuits with gallium, scientists form it into thin wires embedded between rubber or plastic sheets. These wires can connect tiny electronic devices such as computer chips, capacitors and antennas. The process creates a device that could wrap around an arm and be used to track an athlete’s motion, speed or vital signs, for instance, says Carmel Majidi, a mechanical engineer at Carnegie Mellon University.

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This story is a part of MIT Technology Review’s What’s Next series, where we look across industries, trends, and technologies to give you a first look at the future

In 2023, progress in quantum computing will be defined less by big hardware announcements than by researchers consolidating years of hard work, getting chips to talk to one another, and shifting away from trying to make do with noise as the field gets ever more international in scope.

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Scientists at Brookhaven National Laboratory have uncovered an entirely new kind of quantum entanglement, a phenomenon that causes particles to become weirdly linked, even across vast cosmic distances, reports a new study. The discovery allowed them to capture an unprecedented glimpse of the bizarre world inside atoms, the tiny building blocks of matter.

The mind-bending research resolves a longstanding mystery about the nuclei of atoms, which contain particles called protons and neutrons, and could help shed light on topics ranging from quantum computing to astrophysics.

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Yet, it is a small percentage of its workforce.

Amazon.com Inc., one of the largest technology companies in the world with presence in ecommerce, advertising, video streaming and cloud computing, has announced that it will be laying off 18,000 workers as the company copes with the economic downturn in the future, The Wall Street Journal.

Smith Collection/Gado/Getty Images.

Technology companies in the U.S. began laying off people as early as June last year, when Tesla began reducing its staff strength as CEO Elon Musk had a “super bad feeling” about the economy. As the year drew to a close, software-focused companies also announced job cuts, with Meta leading the list with as many as 11,000 employees facing the axe.

Continue reading “Amazon to lay off 18,000 workers in largest tech company job cut” | >

One potential application: Enhancing the sensitivity of atomic magnetometers used to measure the alpha waves emitted by the human brain.

Scientists are increasingly seeking to discover more about quantum entanglement, which occurs when two or more systems are created or interact in such a manner that the quantum states of some cannot be described independently of the quantum states of the others. The systems are correlated, even when they are separated by a large distance. Interest in studying this kind of phenomenon is due to the significant potential for applications in encryption, communications, and quantum computing.

Performing computation using quantum-mechanical phenomena such as superposition and entanglement.

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The way electrons interact with photons of light is a vital part of many modern technologies, from lasers to solar panels to LEDs. But the interaction is inherently weak because of a major mismatch in scale: the wavelength of visible light is about 1,000 times larger than an electron, so the way the two things affect each other is limited by that disparity.

Now, researchers at The University of Hong Kong (HKU), MIT and other universities say they have come up with an innovative way to make more robust interactions between photons and electrons possible, that produces a hundredfold increase in the emission of light from a phenomenon called Smith-Purcell radiation. The findings have potential ramifications for both and fundamental scientific research, although it will require more years of investigation to put into practice.

The findings are published in Nature by Dr. Yi Yang (Assistant Professor of the Department of Physics at HKU and a former postdoc at MIT), Dr. Charles Roques-carmes (Postdoctoral Associate at MIT) and Professors Marin Soljačić and John Joannopoulos (MIT professors). The research team also included Steven Kooi at MIT’s Institute for Soldier Nanotechnologies, Haoning Tang and Eric Mazur at Harvard University, Justin Beroz at MIT, and Ido Kaminer at Technion-Israel Institute of Technology.

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