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The Stanford team worked with researchers at the Department of Energy’s Lawrence Berkeley National Laboratory to develop a technique called prophylactic antiviral CRISPR in human cells, or PAC-MAN. The technology disables viruses by scrambling their genetic code. The researchers developed a new way to deliver the technology into lung cells, they reported in the journal Cell.

Stanford bioengineers teamed up with researchers at the Lawrence Berkeley National Laboratory to develop a CRISPR system that neutralizes SARS-CoV-2 by scrambling the virus’s genetic code. They believe the technology could prove useful for combating several types of viruses, including influenza.

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I posted about this a while back, as a treatment. I’m glad people are catching up.

Some doctors are now trying to deliver 100% oxygen to COVID patients in decompression chambers long used to treat divers with the bends.

As a New York University medical researcher who works once a week in an emergency room, Dr. David Lee had the luxury of time to think like a scientist while also treating coronavirus patients whose lungs kept giving out. In every case, he saw the same thing: Their blood was starved of oxygen.

One day an idea hit him: Could hyperbaric oxygen therapy, best known for treating divers with the bends, help stave off the need for ventilators and perhaps reduce deaths?

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Skoltech scientists have shown that quantum enhanced machine learning can be used on quantum (as opposed to classical) data, overcoming a significant slowdown common to these applications and opening a “fertile ground to develop computational insights into quantum systems.” The paper was published in the journal Physical Review A.

Quantum computers utilize quantum mechanical effects to store and manipulate information. While quantum effects are often claimed to be counterintuitive, such effects will enable quantum enhanced calculations to dramatically outperform the best supercomputers. In 2019, the world saw a prototype of this demonstrated by Google as quantum computational superiority.

Quantum algorithms have been developed to enhance a range of different computational tasks; more recently this has grown to include quantum enhanced machine learning. Quantum machine learning was partly pioneered by Skoltech’s resident-based Laboratory for Quantum Information Processing, led by Jacob Biamonte, a coathor of this paper. “Machine learning techniques have become powerful tools for finding patterns in data. Quantum systems produce atypical patterns that are thought not to produce efficiently, so it is not surprising that quantum computers might outperform classical computers on machine learning tasks,” he says.

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Worries about America’s tech stars have swirled for years. It’s clear now that this isn’t going away. In world capitals, courtrooms and among the public, we are wrestling with what it means for tech giants to have enormous influence on our lives, elections, economy and minds.

The congressional antitrust hearing showed that concerns about the tech stars aren’t going away.

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Summary: Activating p38gamma, a naturally protective enzyme in the brain, may help to prevent the development of Alzheimer’s disease symptoms. Researchers showed the naturally protective effects of p38gamma could be harnessed to improve memory in the later stages of Alzheimer’s disease.

Source: Macquarie University

A ground-breaking new treatment developed by Macquarie University scientists has reversed the effects of memory loss associated with Alzheimer’s disease in a study of mice with advanced dementia.

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Researchers have for the first time managed to use electricity to switch on magnetism in a material that’s normally non-magnetic. The find could be a step towards making electronic components out of common materials that might not otherwise be suitable.

Put simply, ferromagnetism – the strongest form of the phenomenon – arises in a material when the majority of electrons in its atoms spin in the same direction. For non-magnetic materials, the electrons are usually paired up so that their opposite spins cancel out the magnetic field.

There aren’t many substances that are natively ferromagnetic, but the most common ones are iron, cobalt and nickel, as well as their alloys. That doesn’t give engineers all that much to work with when creating electronic devices.

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Computer programming has never been easy. The first coders wrote programs out by hand, scrawling symbols onto graph paper before converting them into large stacks of punched cards that could be processed by the computer. One mark out of place and the whole thing might have to be redone.

Nowadays coders use an array of powerful tools that automate much of the job, from catching errors as you type to testing the code before it’s deployed. But in other ways, little has changed. One silly mistake can still crash a whole piece of software. And as systems get more and more complex, tracking down these bugs gets more and more difficult. “It can sometimes take teams of coders days to fix a single bug,” says Justin Gottschlich, director of the machine programming research group at Intel.

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