Lifeboat Foundation

Scientists at the National Institute of Standards and Technology (NIST) with colleagues elsewhere have employed neutron imaging and a reconstruction algorithm to reveal for the first time the 3D shapes and dynamics of very small tornado-like atomic magnetic arrangements in bulk materials.

These collective atomic arrangements, called skyrmions—if fully characterized and understood—could be used to process and store information in a densely packed form that uses several orders of magnitude less energy than is typical now.

The conventional, semiconductor-based method of processing information in binary form (on or off, 0 or 1) employs electrical charge states that must be constantly refreshed by current which encounters resistance as it passes through transistors and connectors. That’s the main reason that computers get hot.

How many times have you shown up to a video meeting with people at work only to find you have terrible internet that day? Maybe the others on the call are cutting in and out, or maybe your own signal is being corrupted on their screen. Regardless, many remote workers have found a simple solution—turn down the video quality and focus on audio.

In a very general sense, this is the same technique that researchers leverage when using quantum squeezing to improve the performance of their sensors. Mark Kasevich, a professor of physics and applied physics at Stanford University and a member of Q-NEXT, uses quantum squeezing in his work developing quantum sensors.

Q-NEXT is a U.S. Department of Energy (DOE) National Quantum Information Science Research Center led by DOE’s Argonne National Laboratory. Center researchers use quantum squeezing to make better measurements of quantum systems.

In the future, quantum computers may be able to solve problems that are far too complex for today’s most powerful supercomputers. To realize this promise, quantum versions of error correction codes must be able to account for computational errors faster than they occur.

However, today’s quantum computers are not yet robust enough to realize such error correction at commercially relevant scales.

On the way to overcoming this roadblock, MIT researchers demonstrated a novel superconducting qubit architecture that can perform operations between qubits—the building blocks of a quantum computer—with much greater accuracy than scientists have previously been able to achieve.

A team of computer scientists at UC Riverside has developed a new method to detect manipulated facial expressions in deep fake videos. The method could detect these expressions with up to 99% accuracy, making it more accurate than the current state-of-the-art methods.

The new research paper titled “Detection and Localization of Facial Expression Manipulations” was presented at the 2022 Winter Conference on Applications of Computer Vision.

Detecting Any Facial Manipulation

Running could be for everyone even at Olympic levels with biocomputing and crispr.

Citation: (2004) Gene Targeting Turns Mice into Long-Distance Runners. PLoS Biol 2(10): e322. https://doi.org/10.1371/journal.pbio.

Copyright: © 2004 Public Library of Science. This is an open-access distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Driving the technology forward are advances in materials science and AI, plus patient benefits like shorter recovery times and less pain.

In the ever-evolving landscape of artificial intelligence and natural language processing, one phenomenon has taken center stage like never before is the large language model. These creations, infused with billions of parameters and fuelled by vast data repositories, are transforming the way we interact with machines. As this field has begun to take over the Software engineering industry, understanding the technology and diving deep into its nuances becomes paramount.

In this blog, we will do a deep dive into the pieces and components inside a Large Language Model.

Believe it or not, air contains as much water as six times the world’s rivers combined.

This is mostly in the form of water vapor, and it actually replenishes naturally every 8 to 10 days — give or take. This offers a valuable potential reservoir of freshwater that could be tapped relatively easily.

All we need is the right kind of technology.

Surf Air Mobility Inc., a Southern California aerospace company devoted to developing regional air travel through the power of electrification, has placed an order for 20 Cessna Grand Caravan EX aircraft.

The Cessna Grand Caravan EX is designed and manufactured by Textron Aviation, a Textron Inc. (NYSE: TXT) company.

According to Textron, Surf Air Mobility has paid the deposit for the first of 100 aircraft with the option for an additional 50. The deliveries of the aircraft are expected to begin in the first half of 2024.