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Category: computing – Page 3

Can space and time emerge from simple rules? Wolfram thinks so

Stephen Wolfram joins Brian Greene to explore the computational basis of space, time, general relativity, quantum mechanics, and reality itself.

This program is part of the Big Ideas series, supported by the John Templeton Foundation.

Participant: Stephen Wolfram.
Moderator: Brian Greene.

0:00:00 — Introduction.
01:23 — Unifying Fundamental Science with Advanced Mathematical Software.
13:21 — Is It Possible to Prove a System’s Computational Reducibility?
24:30 — Uncovering Einstein’s Equations Through Software Models.
37:00 — Is connecting space and time a mistake?
49:15 — Generating Quantum Mechanics Through a Mathematical Network.
01:06:40 — Can Graph Theory Create a Black Hole?
01:14:47 — The Computational Limits of Being an Observer.
01:25:54 — The Elusive Nature of Particles in Quantum Field Theory.
01:37:45 — Is Mass a Discoverable Concept Within Graph Space?
01:48:50 — The Mystery of the Number Three: Why Do We Have Three Spatial Dimensions?
01:59:15 — Unraveling the Mystery of Hawking Radiation.
02:10:15 — Could You Ever Imagine a Different Career Path?
02:16:45 — Credits.

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Ultralow loss optical microresonators pave way for miniaturized, tunable photonic systems

Aston University researchers have developed a new class of optical microresonators, miniature optical devices that strongly confine and enhance light in microscopic dimensions. They are essential components in a wide range of systems, including ultra-precise optical sensors and information processors.

The University researchers discovered that unique optical microresonators can be introduced at the intersection of two optical fibers. These devices have potential applications in communication, computing, sensing and more.

The new ultralow loss optical microresonators can be finely tuned by simply rotating two intersecting optical fibers. Unlike current monolithic microresonators, these devices have a widely tunable free spectral range (FSR) and allow for their .

New all-silicon computer vision hardware advances in-sensor visual processing technology

Researchers at the University of Massachusetts Amherst have pushed forward the development of computer vision with new, silicon-based hardware that can both capture and process visual data in the analog domain. Their work, described in the journal Nature Communications, could ultimately add to large-scale, data-intensive and latency-sensitive computer vision tasks.

“This is very powerful retinomorphic hardware,” says Guangyu Xu, associate professor of electrical and engineering and adjunct associate professor of biomedical engineering at UMass Amherst. “The idea of fusing the sensing unit and the processing unit at the device level, instead of physically separating them apart, is very similar to the way that process the visual world.”

Existing computer vision systems often involve exchanging redundant data between physically separated sensing and computing units.

Revolutionizing OLEDs: New Model Unlocks Longer Lifespan and Brighter Displays

Researchers have developed a novel analytical model that reveals the kinetics of exciton dynamics in thermally activated delayed fluorescence (TADF) materials. Organic light-emitting diodes, or OLEDs, are photoluminescence devices that use organic compounds to generate light. Compared to traditio

Physicists Built a “Trampoline” Smaller Than a Human Hair — And It Could Rewrite the Rules of Microchip Design

The world’s strangest trampoline doesn’t bounce—it swings sideways and even glides around corners. But no one can jump on it, because it’s less than a millimeter tall. Imagine a trampoline so tiny it’s just 0.2 millimeters wide, with a surface thinner than anything you’ve ever seen, only about 20

Dramatic stretch in quantum materials confirms 100-year-old prediction

Research from the University of St Andrews has set a new benchmark for the precision with which researchers can explore fundamental physics in quantum materials. The work has implications extending from materials science to advanced computing, as well as confirming a nearly 100-year-old prediction.

The researchers explored magnetoelastic coupling, which is the change in the size or shape of a material when exposed to a . It is usually a small effect, but one that has technological consequences.

A team from the School of Physics and Astronomy at the University of St Andrews has now discovered that this effect is remarkably large in a case where one wouldn’t have expected it—in a transition metal oxide. Oxides are a containing at least one and one other element in its chemical formula. High-temperature superconductors are one of the most prominent examples of a transition metal oxide.