Computational algorithms enable identification and optimization of RNA-based tools for myriad applications — ScienceDaily

DNA and RNA have been compared to “instruction manuals” containing the information needed for living “machines” to operate. But while electronic machines like computers and robots are designed from the ground up to serve a specific purpose, biological organisms are governed by a much messier, more complex set of functions that lack the predictability of binary code. Inventing new solutions to biological problems requires teasing apart seemingly intractable variables — a task that is daunting to even the most intrepid human brains.

Two teams of scientists from the Wyss Institute at Harvard University and the Massachusetts Institute of Technology have devised pathways around this roadblock by going beyond human brains; they developed a set of machine learning algorithms that can analyze reams of RNA-based “toehold” sequences and predict which ones will be most effective at sensing and responding to a desired target sequence. As reported in two papers published concurrently

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Deep learning enables identification and optimization of RNA-based tools for myriad applications

Deep learning takes on synthetic biology
Credit: Wyss Institute at Harvard University

DNA and RNA have been compared to “instruction manuals” containing the information needed for living “machines” to operate. But while electronic machines like computers and robots are designed from the ground up to serve a specific purpose, biological organisms are governed by a much messier, more complex set of functions that lack the predictability of binary code. Inventing new solutions to biological problems requires teasing apart seemingly intractable variables—a task that is daunting to even the most intrepid human brains.


Two teams of scientists from the Wyss Institute at Harvard University and the Massachusetts Institute of Technology have devised pathways around this roadblock by going beyond human brains; they developed a set of machine learning algorithms that can analyze reams of RNA-based “toehold” sequences and predict which ones will be most effective at sensing and responding to a desired target sequence. As reported in

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Defense Cyber Security Market Innovations, Trends, Technology And Applications Market Report To 2020-2026 – Press Release

“Defense Cyber Security Market”

WiseGuyReports.com Publish A New Market Research Report on –“ Defense Cyber Security Market Innovations, Trends, Technology And Applications Market Report To 2020-2026”.

Defense Cyber Security Market 2020

Summary: –

The Defense Cyber Security industry has also suffered a certain impact, but still maintained a relatively optimistic growth, the past four years, Defense Cyber Security market size to maintain the average annual growth rate of XYZ from XYZ million $ in 2015 to XYZ million $ in 2020, The analysts believe that in the next few years, Defense Cyber Security market size will be further expanded, we expect that by 2025, The market size of the Defense Cyber Security will reach XYZ million $.

This Report covers the manufacturers’ data, including: shipment, price, revenue, gross profit, interview record, business distribution etc., these data help the consumer know about the competitors better. This report also covers all the

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Storage for AI/ML Applications Plays a Key Role at Flash Memory Summit 2020

Data analytics, deep learning, and other AI/ML applications drive multi-billion-dollar flash memory market

Virtual Flash Memory Summit (FMS), the world’s premiere flash memory conference and exposition, announces a major program track on Storage for Artificial Intelligence and Machine Learning (AI/ML) Applications.

The new track features talks on storage strategies, model training, workloads, NVMe and logical volumes, persistent memory, software-defined architectures, and accelerating the GPU data path. It also includes panels on model scalability and long-term horizons, plus a keynote by Geoffrey Burr, Distinguished Researcher at IBM Almaden Research Center. Virtual Flash Memory Summit 2020 will be held on November 10-12 and expects to draw more than 6,000 attendees.

AI/ML applications require vast amounts of low latency, high-throughput flash storage. Cloud and enterprise data center architectures must be optimized to train deep neural networks and analyze petabyte-scale datasets, all while satisfying critical cost constraints.

The rapid adoption of AI/ML applications is

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PC Gaming Headsets Industry Study Applications, Types and Market Analysis including Growth, Trends and Forecasts to 2026-Market.Biz

Pune, Maharashtra, India, September 29 2020 (Wiredrelease) Reseller –:The PC Gaming Headsets market major research and analysis identified for the worldwide PC Gaming Headsets market study allow their perusers to understand the definition among players and how they are working sums themselves on a global scale. The research study gives a profound knowledge of the flow and future guides of the market beside the open doors for the new players who are in the cycle of entering the worldwide PC Gaming Headsetsmarket. Market effective analysis, for example, market drivers, market limitations are clarified completely in the most real facts and simplest understandable way. The organizations can likewise discover a few proposals to improve their business on a worldwide scale.

The total report is detailed individual and quantifiable data. Additionally, The income, CAGR, import-trade subtleties, and total point are determined. The COVID-19 effect investigation which is predicted to change the global

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Industry Analysis of Laser Cladding Material Market Size, Segments, Applications, Types, Competitors, Demographics and Forecast to 2026

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

Sep 23, 2020 (The Expresswire) —
“Laser Cladding Material Market” provides key analysis on the market status of theLaser Cladding Material manufacturers with best facts and figures, meaning, definition, SWOT analysis, expert opinions and the latest developments across the globe. The Report also calculate the market size,Laser Cladding Material Sales, Price, Revenue, Gross Margin and Market Share, cost structure and growth rate. The report considers the revenue generated from the sales of This Report and technologies by various application segments.

COVID-19 can affect the global economy in three main ways: by directly affecting production and demand, by creating supply chain and market disruption, and by its financial impact on firms and financial markets.

Final Report will add the analysis of the impact of COVID-19 on this industry.

TO UNDERSTAND HOW COVID-19 IMPACT IS COVERED IN THIS REPORT

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Global Public Safety LTE and 5G Market (2020 to 2025) – by Technology, Solutions, Applications, and Services

The “Public Safety LTE and 5G Market by Technology, Solutions, Applications, and Services 2020 – 2025” report has been added to ResearchAndMarkets.com’s offering.

This report provides an analysis of the global public safety LTE and 5G industry including an assessment of the technology, market size, and key trends within the public safety LTE and 5G industry. The report includes public safety LTE and 5G market sizing and analysis from 2020 through 2025. The report evaluates the ecosystem including the major players, strategies, and offerings. It also assesses technology impact and the role of 5G in the evolution of public safety broadband.

The market for public safety and other mission-critical communications is rapidly developing as technologies are evolving to provide solutions necessary to meet the emerging demand for improved voice, data, and machine-oriented communications. The public safety community increasingly relies upon IP-based solutions for first responders (ambulance, police, and fire) and

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Bag-on-Valve Technology Market Report Gives Industry Size, Growth, Production, Types, Applications, Growing Rapidly with Recent Trends 2020 to 2025

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

Sep 24, 2020 (The Expresswire) —
“Final Report will add the analysis of the impact of COVID-19 on this industry.”

“Bag-on-Valve Technology Market” has several changes in recent years and expected to vary significantly within the forecast year because of developments in production sources, shifts in consumer preferences changes to business policies. Bag-on-Valve Technology Market is gaining important adoption among recent business across the globe. Global Bag-on-Valve Technology Market Report 2020 gives complete research about the industry size by key players, regions, product types and end user with history data and forecast data to 2025. This report analyses the Bag-on-Valve Technology with respect to individual growth trends, future prospects, and their contribution to the total market.

Get a Sample Copy of the Report at- https://www.industryresearch.co/enquiry/request-sample/16345337

Most important Regions play dynamic role in Bag-on-Valve Technology market share are:

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The Future of Atoms: Artificial Intelligence for Nuclear Applications

Held virtually today on the sidelines of the 64th IAEA General Conference, the first ever IAEA meeting discussing the use of artificial intelligence (AI) for nuclear applications showcased the ways in which AI-based approaches in nuclear science can benefit human health, water resource management and nuclear fusion research. Open to the public, the event launched a global dialogue on the potential of AI for nuclear science and the related implications of its use, including ethics and transparency.

AI refers to a collection of technologies that combine numerical data, process algorithms and continuously increasing computing power to develop systems capable of tracking complex problems in ways similar to human logic and reasoning. AI technologies can analyse large amounts of data to “learn” how to complete a particular task, a technique called machine learning.

“Artificial Intelligence is advancing exponentially,” said Najat Mokhtar, IAEA Deputy Director General and Head of the Department

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