Computer design of synthetic proteins is creating potent, stable antivirals that block infection at least as well as monoclonal antibodies — ScienceDaily

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Computer-designed small proteins have now been shown to protect lab-grown human cells from SARS-CoV-2, the coronavirus that causes COVID-19.

The findings are reported today, Sept. 9, in Science

In the experiments, the lead antiviral candidate, named LCB1, rivaled the best-known SARS-CoV-2 neutralizing antibodies in its protective actions. LCB1 is currently being evaluated in rodents.

Coronaviruses are studded with so-called Spike proteins. These latch onto human cells to enable the virus to break in and infect them. The development of drugs that interfere with this entry mechanism could lead to treatment of or even prevention of infection.

Institute for Protein Design researchers at the University of Washington School of Medicine used computers to originate new proteins that bind tightly to SARS-CoV-2 Spike protein and obstruct it from infecting cells.

Beginning in January, more than two million candidate Spike-binding proteins were designed on the computer. Over 118,000 were then produced and tested

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Google conducts largest chemical simulation on a quantum computer to date

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Google conducts largest chemical simulation on a quantum computer to date
Google’s Sycamore processor mounted in a cryostat, recently used to demonstrate quantum supremacy and the largest quantum chemistry simulation on a quantum computer. Credit: Rocco Ceselin

A team of researchers with Google’s AI Quantum team (working with unspecified collaborators) has conducted the largest chemical simulation on a quantum computer to date. In their paper published in the journal Science, the group describes their work and why they believe it was a step forward in quantum computing. Xiao Yuan of Stanford University has written a Perspective piece outlining the potential benefits of quantum computer use to conduct chemical simulations and the work by the team at AI Quantum, published in the same journal issue.


Developing an ability to predict chemical processes by simulating them on computers would be of great benefit to chemists—currently, they do most of it through trial and error. Prediction would open up the door to the

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Best computer speakers 2020: the clearest picks for your PC and setup

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A set of the best computer speakers is a great move for any PC and gaming setup. In a world seemingly dominated by headsets, the best PC speakers still open up options for players of games, but also those who use their setups for everything else too. 

A set of the best computer speakers is not a thing of the past anymore; while it did seem like the best gaming headsets and pc headsets for gaming were the only way forward a few years ago, there’s definitely a case to be made for having both now (budget dependent, of course).

For example, I much prefer having a headset on for socially-distanced web chats at work, while I prefer to blast my music on my PC speakers. As for gaming, it depends on what I’m playing: for shooters, I prefer a headset to hear every footstep, but for strategy games like

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AI in Computer Vision Market COVID-19 Analysis, Growth Forecast, Size, Share, Trends, Business Opportunities and Industry Challenges

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The MarketWatch News Department was not involved in the creation of this content.

Aug 25, 2020 (Heraldkeepers) —
Market Overview

The AI in computer vision market will surpass a valuation of USD 27 billion, attaining a CAGR of 45% during the forecast period (2017-2023), Market Research Future (MRFR) unveils in a detailed report. Computer vision is an AI technology that helps computers to label and understand images. This technology is extensively used in driverless car testing, convenience stores, monitoring livestock and crop health, and daily medical diagnostics.

Market Potential and Pitfalls

Computer vision has become an integral manifestation of AI. From retail to autonomous driving and healthcare, top global firms are using computer vision across domains, in order to enhance operations and improve productivity. The development graph for computer vision in application areas has shown exponential growth over the past few years and is extensively being used by tech giants

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The Final Frontier: New Course Addresses Lack of Inclusion in Computer Science

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Nicki Washington is a woman on a mission: As a professor of the practice of computer science at Duke, she teaches a course called Race, Gender, Class & Computing, which explores the diversity challenges in computer science and the effects that this lack of inclusion has on technology.

“I have long argued that computer science needs a stronger dose of social sciences as part of its curriculum and this class is a chance to do that,” she said.

This is uphill work. Though women make up over 50 percent of the U.S. population, as well as the majority of Americans now earning college degrees, less than a quarter of computer science professionals are female. African Americans and Latinos also hold computer science jobs at a rate well below their percentage in the U.S. population.

And even when these groups do make in-roads into computer science, new recruits tend to be

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Global Computer Graphics Industry

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Global Computer Graphics Market to Reach $214. 4 Billion by 2027. Amid the COVID-19 crisis, the global market for Computer Graphics estimated at US$152. 7 Billion in the year 2020, is projected to reach a revised size of US$214.

New York, Aug. 24, 2020 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of the report “Global Computer Graphics Industry” – https://www.reportlinker.com/p05817667/?utm_source=GNW
4 Billion by 2027, growing at aCAGR of 5% over the period 2020-2027. Application Software, one of the segments analyzed in the report, is projected to record 5.2% CAGR and reach US$131.6 Billion by the end of the analysis period. After an early analysis of the business implications of the pandemic and its induced economic crisis, growth in the Hardware segment is readjusted to a revised 4.6% CAGR for the next 7-year period.

The U.S. Market is Estimated at $41.4 Billion, While China is Forecast to Grow at 7.7% CAGR

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The UK is building its first commercial quantum computer

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The UK’s splashing the cash for its next quantum purchase: the science minister Amanda Solloway has announced the country’s very first commercial quantum computer, backed by a £10 million ($13.36 million) investment from government and industry, to be available to use by businesses within the next few years.

The new machine is expected to help businesses unleash the billion-dollar opportunities promised by the quantum revolution in industries ranging from pharmaceuticals and transport to aerospace.

While the new quantum computer will be physically located in Abingdon, Oxfordshire, partners and customers will be able to access and operate the system over the cloud, to run applications in machine learning, materials simulation and finance. 

Solloway said: “Our ambition is to be the world’s first quantum-ready economy, which could provide UK businesses and industries with billions of pounds worth of opportunities. Therefore, I am delighted that companies across the country will have access to

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Computer Animation and Modeling Software Market Analysis, Size, Share, Growth, Trends, and Forecasts 2020-2029: Google, Apple Inc and Autodesk

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The MarketWatch News Department was not involved in the creation of this content.

Aug 31, 2020 (MarketResearch.biz via Comtex) —
: The Computer Animation and Modeling Software market research study delivers deep insights into the various industry segments based on end-use, types, and geography. The report provides a basic introduction of the Computer Animation and Modeling Software industry which includes its definition, applications, and manufacturing technologies. The analysis report on the Computer Animation and Modeling Software market includes both qualitative as well as quantitative details that exclusively concentrating on the different parameters such as risk factors, difficulties, technical developments, new opportunities available in the Technology industries.

The worldwide market that compares to the Computer Animation and Modeling Software market size, share, increase factor, key vendors, revenue, product demand, sales size, quantity, cost structure, and new development in the Computer Animation and Modeling Software Market. It provides a comprehensive analysis of

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How to tell if computer vision can transform your business

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During my career as an automotive engineer at Ford Motor Company in the early 2000s, world-class vision system technology was already routinely being used for various applications on programs and production. However, the automation around the analysis had not yet come full circle. Today, it has. And with the latest iterations of smartphones for facial recognition and other functionality, most anyone with a smartphone already has a device using computer vision. Machine and computer vision are also being used in applications such as satellite geo-analytics, food safety and processing, agriculture operations, augmented reality, human emotion analysis, medical diagnostics, robotic guidance, quality control, transportation coordination, utilities, security surveillance, and more.

As the technology proliferates across new sectors, it will be critical for business leaders to assess how computer vision could impact the trajectory of their organization. So let’s take a deeper look at the real-world use cases emerging today. (For the

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What is computer vision? AI for images and video

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Computer vision identifies and often locates objects in digital images and videos. Since living organisms process images with their visual cortex, many researchers have taken the architecture of the mammalian visual cortex as a model for neural networks designed to perform image recognition. The biological research goes back to the 1950s.

The progress in computer vision over the last 20 years has been absolutely remarkable. While not yet perfect, some computer vision systems achieve 99% accuracy, and others run decently on mobile devices.

The breakthrough in the neural network field for vision was Yann LeCun’s 1998 LeNet-5, a seven-level convolutional neural network for recognition of handwritten digits digitized in 32×32 pixel images. To analyze higher-resolution images, the LeNet-5 network would need to be expanded to more neurons and more layers.

Today’s best image classification models can identify diverse catalogs of objects at HD resolution in color. In addition to pure

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