Menu

Blog

Archive for the ‘computing’ category: Page 286

Dec 8, 2022

Researchers plan to use quantum computers in search for dark matter

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

This research could potentially lead to a better understanding of the galaxy and its many mysteries.

It’s a cosmic riddle: How can galaxies remain together when all the matter we observe isn’t enough to keep them intact? Scientists believe an invisible force must beat play, something so mysterious they named it “dark matter” because of its lack of visibility.

This mysterious presence accounts for nearly three times more than what we can observe — a startling 27% of all existence! The mysterious dark matter is a profound mystery to scientists, its existence making up nearly one-third of the universe’s energy and mass yet remaining elusive due to its ability to avoid detection.

Continue reading “Researchers plan to use quantum computers in search for dark matter” »

Dec 8, 2022

The Terrifying Future of Brain Computers

Posted by in categories: computing, neuroscience

Neural Computing Interfaces will revolutionize the world. From aiding motor function recovery, to augmenting and transforming the future human users. In this video, we take a look at what good can come from this technology but also what dark horrors await this future.

Dec 8, 2022

A reconfigurable device based on 2D van der Waals heterostructures that works both as a transistor and memory

Posted by in categories: computing, engineering

One key objective of electronics engineering research is to develop computing devices that are both highly performing and energy-efficient, meaning that they can compute information quickly while consuming little power. One possible way to do this could be to combine units that perform logic operations and memory components into a single device.

So far, most computing devices have been made up of a processing unit and a physically separate component. The creation of a device that can efficiently perform both these functions, referred to as a logic-in-memory architecture, could help to significantly simplify devices and cut down their power consumption.

While a few of the logic-in-memory architectures proposed so far achieved promising results, most existing solutions come with practical limitations. For instance, some devices have been found to be unstable, unreliable or only applicable to specific use cases.

Dec 8, 2022

‘Quantum time flip’ makes light move simultaneously forward and backward in time

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

After recombining the superposed photons by sending them through another crystal, the team measured the photon polarization across a number of repeated experiments. They found a quantum interference pattern, a pattern of light and dark stripes that could exist only if the photon had been split and was moving in both time directions.

“The superposition of processes we realized is more akin to an object spinning clockwise and counter-clockwise at the same time,” Strömberg said. The researchers created their time-flipped photon out of intellectual curiosity, but follow-up experiments showed that time flips can be paired with reversible logic gates to enable simultaneous computation in either direction, thus opening the way for quantum processors with greatly enhanced processing power.

Theoretical possibilities also sprout from the work. A future theory of quantum gravity, which would unite general relativity and quantum mechanics, should include particles of mixed time orientations like the one in this experiment, and could enable the researchers to peer into some of the universe’s most mysterious phenomena.

Dec 8, 2022

How Far Away are we from a Real Version of Upload?

Posted by in categories: computing, life extension, neuroscience

Frankly I’m pretty stoked about getting my brain inside a computer and living forever.

Dec 7, 2022

Biomembrane research findings could advance understanding of computing and human memory

Posted by in categories: bioengineering, biological, computing, health, nanotechnology

While studying how bio-inspired materials might inform the design of next-generation computers, scientists at the Department of Energy’s Oak Ridge National Laboratory achieved a first-of-its-kind result that could have big implications for both edge computing and human health.

Results published in Proceedings of the National Academy of Sciences show that an artificial is capable of long-term potentiation, or LTP, a hallmark of biological learning and . This is the first evidence that a cell membrane alone—without proteins or other biomolecules embedded within it—is capable of LTP that persists for many hours. It is also the first identified nanoscale structure in which memory can be encoded.

“When facilities were shut down as a result of COVID, this led us to pivot away from our usual membrane research,” said John Katsaras, a biophysicist in ORNL’s Neutron Sciences Directorate specializing in neutron scattering and the study of biological membranes at ORNL.

Dec 7, 2022

Megastructures 10: Matrioshka Brains

Posted by in categories: computing, neuroscience

In Episode 10 we explore the Matrioshka Brain, a nested Layer type of Dyson Sphere designed to turn stars in to giant computers, and conclude our look at Dyson Spheres and other types of Stellar Engines.

Support the Channel on Patreon:
https://www.patreon.com/IsaacArthur.

Continue reading “Megastructures 10: Matrioshka Brains” »

Dec 7, 2022

U.S. Dept of Energy Breakthrough: Detecting Dark Matter With Quantum Computers

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

Dark matter makes up about 27% of the matter and energy budget in the universe, but scientists do not know much about it. They do know that it is cold, meaning that the particles that make up dark matter are slow-moving. It is also difficult to detect dark matter directly because it does not interact with light. However, scientists at the U.S. Department of Energy’s Fermi National Accelerator Laboratory (Fermilab) have discovered a way to use quantum computers to look for dark matter.

Aaron Chou, a senior scientist at Fermilab, works on detecting dark matter through quantum science. As part of DOE’s Office of High Energy Physics QuantISED program, he has developed a way to use qubits, the main component of quantum computing.

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

Dec 6, 2022

Chip lets scientists study biocement formation in real-time

Posted by in categories: biotech/medical, computing, engineering, health

Scientists from EPFL and the University of Lausanne have used a chip that was originally designed for environmental science to study the properties of biocement formation. This material has the potential to replace traditional cement binders in certain civil engineering applications.

The chip is the size of a credit card and its surface is engraved with a flow channel measuring one meter from end to end that is as thick as a human hair. Researchers can inject a solution into one end of the channel and, with the help of time-lapse microscopy, observe the solution’s behavior over several hours. Medical scientists have used similar chips for health care applications, such as to examine how arteries get clogged or how a drug spreads into the bloodstream, while environmental engineers have applied them to the study of biofilms and contaminants in drinking water.

Now, a team of civil engineers at EPFL’s Laboratory of Soil Mechanics (LMS), together with scientists from the Faculty of Geosciences and Environment at the University of Lausanne (UNIL), have repurposed the chip to understand complex transport-reaction phenomena involved in the formation of new kinds of biocement.

Dec 5, 2022

How Features of Our Consciousness Seem to Define Our Laws of Physics and Maths (Stephen Wolfram)

Posted by in categories: computing, mathematics, neuroscience, physics

Our Wolfram Physics Project has provided a surprisingly successful picture of the underlying (deeply computational) structure of our physical universe. I’ll talk here about how our perception of that underlying structure is determined by what seem to be key features of our consciousness—and how this leads to detailed laws of physics as we experience them. Our Physics Project has led to the concept of the ruliad—the entangled limit of all possible computations—which seems to represent a common underlying structure from which both physics and mathematics emerge. I’ll talk about the comparison between physical and mathematical observers, and how their common features in consciousness lead to implications for general laws of “bulk mathematics”.