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Sep 1, 2022

Neurolinguists Report Not Two, but Three Options for Brain Functional Categories

Posted by in category: neuroscience

Summary: A new language-switching experiment revealed traditional categorization of brain areas may not be sufficient. Researchers set their sights on the caudal inferior parietal cortex to better understand functional categorization in the brain.

Source: Leiden University.

Based on the results of a language-switching experiment, Ph.D. candidate Fatemeh (Simeen) Tabassi Mofrad MA and Professor Niels Schiller have discovered that the traditional categorization of brain areas is not sufficient.

Sep 1, 2022

A Wire on the Edge

Posted by in categories: particle physics, quantum physics

A cold-atom experiment suggests that interactions between particles can induce the coexistence of localized and extended states in a quantum wire.

Sep 1, 2022

A tiny, magnetically actuated gearbox that gives microrobots more power

Posted by in categories: biotech/medical, robotics/AI

A team of researchers at the Max Planck Institute for Intelligent Systems, working with a pair of colleagues from the Harbin Institute of Technology, has developed a tiny actuated gearbox that can be used to give very tiny robots more power. In their paper published in the journal Science Robotics, the group describes how their gearbox works and the power improvements observed in several types of tiny robots.

Over the past several years, scientists have been working toward the development of tiny robots that can be injected into the to carry out medical procedures. The hope is that such robots can be sent to find and destroy , for example. Such tiny robots are too small to carry their own power plant; thus, they must be manipulated using an . Unfortunately, as the robots grow ever tinier, their power diminishes as they have too little mass. In this new effort, the researchers have found a way to increase the power of the tiny robots using a tiny gearbox that helps them become stronger.

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Sep 1, 2022

A computing-in-memory macro based on three-dimensional resistive random-access memory

Posted by in category: robotics/AI

Three-dimensional computing-in-memory circuits based on vertical resistive random-access memory and complementary metal–oxide–semiconductor technologies can be used to create efficient hardware for artificial neural networks.

Sep 1, 2022

Watch how an AI system learns to play soccer from scratch

Posted by in category: robotics/AI

A team of researchers at Google’s Deep Mind London project, has taught animated players how to play a realistic version of soccer on a computer screen. In their paper published in the journal Science Robotics, the group describes teaching the animated players to play as solo players and also in teams.

For several years, engineers have been working diligently to create robots capable of playing . Such work has resulted in competition between various groups to see who can devise the best robot players. And that has led to the creation of RoboCup, which has several leagues, both in the real world and simulated. In this new effort, the researchers applied a new degree of artificial intelligence programming and learning networks to teach simulated robots how to play soccer without ever giving them the rules.

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Sep 1, 2022

Efficient generation of entangled multiphoton graph states from a single atom

Posted by in category: particle physics

Using a single memory atom in a cavity, a deterministic protocol is implemented to efficiently grow Greenberger–Horne–Zeilinger and linear cluster states by means of single-photon emissions.

Sep 1, 2022

Computational model could speed development of semiconductors useful in quantum applications

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

Researchers from North Carolina State University used computational analysis to predict how optical properties of semiconductor material zinc selenide (ZnSe) change when doped with halogen elements, and found the predictions were confirmed by experimental results. Their method could speed the process of identifying and creating materials useful in quantum applications.

Creating semiconductors with desirable properties means taking advantage of point defects—sites within a material where an atom may be missing, or where there are impurities. By manipulating these sites in the material, often by adding different elements (a process referred to as “doping”), designers can elicit different properties.

“Defects are unavoidable, even in ‘pure’ ,” says Doug Irving, University Faculty Scholar and professor of materials science and engineering at NC State. “We want to interface with those spaces via doping to change certain properties of a material. But figuring out which elements to use in doping is time and labor intensive. If we could use a to predict these outcomes it would allow material engineers to focus on elements with the best potential.”

Sep 1, 2022

Look! The James Webb Space Telescope’s first exoplanet image is finally here

Posted by in category: space

James Webb Space Telescope’s first exoplanet image could tell us a lot about our own Solar System.


NASA just released the James Webb Space Telescope’s first infrared images of an exoplanet, and it could shed light on how solar systems evolve.

Sep 1, 2022

Plasma Dilution Appears to Rejuvenate Humans

Posted by in categories: biotech/medical, life extension, neuroscience

The trial was only on 8 people, but it appears to have worked well across the board.


Published in GeroScience, a groundbreaking study from the renowned Conboy lab has confirmed that plasma dilution leads to systemic rejuvenation against multiple proteomic aspects of aging in human beings.

This paper takes the view that much of aging is driven by systemic molecular excess. Signaling molecules, antibodies, and toxins, which gradually accumulate out of control, cause cells to exhibit the gene expression that characterizes older cells.

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Sep 1, 2022

E-2D Advanced Hawkeye

Posted by in categories: computing, military, space

The aircraft is one of Northrop Grumman’s best models.

The Northrop Grumman E-2 Hawkeye is an American all-weather, carrier-capable tactical airborne early warning aircraft. Its latest and most advanced version is the E-2D Advanced Hawkeye.

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