Daily Archives: May 8, 2020

Adrenomyeloneuropathy Treatment Market Size, Key Trends, Challenges and Standardization, Research, Key Players, Economic Impact and Forecast to 2026|…

Posted: May 8, 2020 at 10:49 am

Latest Report On Adrenomyeloneuropathy Treatment Market including Market Landscape, and Market size, Revenues by players, Revenues by regions, Average prices, Competitive landscape, market Dynamics and industry trends and developments during the forecast period.

The global Adrenomyeloneuropathy Treatment market is broadly analyzed in this report that sheds light on critical aspects such as the vendor landscape, competitive strategies, market dynamics, and regional analysis. The report helps readers to clearly understand the current and future status of the global Adrenomyeloneuropathy Treatment market. The research study comes out as a compilation of useful guidelines for players to secure a position of strength in the global market. The authors of the report profile leading companies of the global Adrenomyeloneuropathy Treatment market, Also the details about important activities of leading players in the competitive landscape.

Key companies operating in the global Adrenomyeloneuropathy Treatment market include: :, Ascend Biopharmaceuticals, Novadip Biosciences, Eureka Therapeutics, Human Longevity, Regeneus, Allogene Therapeutics, BioRestorative Therapies, Immatics Biotechnologies, NewLink Genetics, Cytori Therapeutics, Talaris Therapeutics

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The report predicts the size of the global Adrenomyeloneuropathy Treatment market in terms of value and volume for the forecast period 2020-2026. As per the analysis provided in the report, the global Adrenomyeloneuropathy Treatment market is expected to rise at a CAGR of xx % between 2020 and 2026 to reach a valuation of US$ xx million/billion by the end of 2026. In 2020, the global Adrenomyeloneuropathy Treatment market attained a valuation of US$ XX million/billion. The market researchers deeply analyze the global Adrenomyeloneuropathy Treatment industry landscape and the future prospects it is anticipated to create

Segmental Analysis

The report has classified the global Adrenomyeloneuropathy Treatment industry into segments including product type and application. Every segment is evaluated based on growth rate and share. Besides, the analysts have studied the potential regions that may prove rewarding for the Adrenomyeloneuropathy Treatment manufcaturers in the coming years. The regional analysis includes reliable predictions on value and volume, thereby helping market players to gain deep insights into the overall Adrenomyeloneuropathy Treatment industry.

Global Adrenomyeloneuropathy Treatment Market Segment By Type:

, Steroid Replacement Therapy, Stem Cell Transplant By the end users,

Global Adrenomyeloneuropathy Treatment Market Segment By Application:

Since the COVID-19 virus outbreak in December 2019, the disease has spread to almost 100 countries around the globe with the World Health Organization declaring it a public health emergency. The global impacts of the coronavirus disease 2019 (COVID-19) are already starting to be felt, and will significantly affect the Adrenomyeloneuropathy Treatment market in 2020. 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. The outbreak of COVID-19 has brought effects on many aspects, like flight cancellations; travel bans and quarantines; restaurants closed; all indoor events restricted; over forty countries state of emergency declared; massive slowing of the supply chain; stock market volatility; falling business confidence, growing panic among the population, and uncertainty about future. This report also analyses the impact of Coronavirus COVID-19 on the Adrenomyeloneuropathy Treatment industry. Based on our recent survey, we have several different scenarios about the Adrenomyeloneuropathy Treatment YoY growth rate for 2020. The probable scenario is expected to grow by a xx% in 2020 and the revenue will be xx in 2020 from US$ xx million in 2019. The market size of Adrenomyeloneuropathy Treatment will reach xx in 2026, with a CAGR of xx% from 2020 to 2026. Global Adrenomyeloneuropathy Treatment market: Drivers and Restraints This section covers the various factors driving the global Adrenomyeloneuropathy Treatment market. To understand the growth of the market it is important to analyze the various drivers present the market. It provides data by value and volume of different regions and their respective manufacturers. This data will elaborate on the market share occupied by them, predict their revenue concerning strategies, and how they will grow in the future. After explaining the drivers, the report further evaluates the new opportunities and current trends in the market. Market restraints are factors hampering market growth. Studying these factors is equally pivotal as they help a reader need understand the weaknesses of the market. Global Adrenomyeloneuropathy Treatment market: Segment Analysis The global Adrenomyeloneuropathy Treatment market is split into two segments, type, and application. The product type briefs on the various types of products available in the market. The report also provides data for each product type by revenue for the forecast time period. It covers the price of each type of product. The other segment on the report, application, explains the various uses of the product and end-users. In the report, the researchers have also provided revenue according to the consumption of the product. Global Adrenomyeloneuropathy Treatment market: Regional Analysis The major regions covered in the report are North America, Europe, China, Rest of Asia Pacific, Central & South America, Middle East & Africa, etc. It includes revenue analysis of each region for the year 2015 to 2026. Global Adrenomyeloneuropathy Treatment market: Key Players The report lists the major players in the regions and their respective market share on the basis of global revenue. It also explains their strategic moves in the past few years, investments in product innovation, and changes in leadership to stay ahead in the competition. This will give the reader an edge over others as a well-informed decision can be made looking at the holistic picture of the market. By the therapy, the market is primarily split into, Steroid Replacement Therapy, Stem Cell Transplant By the end users, Hospitals, Clinics, Ambulatory Surgical Centers, Others

Competitive Landscape

It is important for every market participant to be familiar with the competitive scenario in the global Adrenomyeloneuropathy Treatment industry. In order to fulfil the requirements, the industry analysts have evaluated the strategic activities of the competitors to help the key players strengthen their foothold in the market and increase their competitiveness.

Key companies operating in the global Adrenomyeloneuropathy Treatment market include: :, Ascend Biopharmaceuticals, Novadip Biosciences, Eureka Therapeutics, Human Longevity, Regeneus, Allogene Therapeutics, BioRestorative Therapies, Immatics Biotechnologies, NewLink Genetics, Cytori Therapeutics, Talaris Therapeutics

Key questions answered in the report:

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TOC

1 Market Overview of Adrenomyeloneuropathy Treatment1.1 Adrenomyeloneuropathy Treatment Market Overview1.1.1 Adrenomyeloneuropathy Treatment Product Scope1.1.2 Market Status and Outlook1.2 Global Adrenomyeloneuropathy Treatment Market Size Overview by Region 2015 VS 2020 VS 20261.3 Global Adrenomyeloneuropathy Treatment Market Size by Region (2015-2026)1.4 Global Adrenomyeloneuropathy Treatment Historic Market Size by Region (2015-2020)1.5 Global Adrenomyeloneuropathy Treatment Market Size Forecast by Region (2021-2026)1.6 Key Regions Adrenomyeloneuropathy Treatment Market Size YoY Growth (2015-2026)1.6.1 North America Adrenomyeloneuropathy Treatment Market Size YoY Growth (2015-2026)1.6.2 Europe Adrenomyeloneuropathy Treatment Market Size YoY Growth (2015-2026)1.6.3 China Adrenomyeloneuropathy Treatment Market Size YoY Growth (2015-2026)1.6.4 Rest of Asia Pacific Adrenomyeloneuropathy Treatment Market Size YoY Growth (2015-2026)1.6.5 Latin America Adrenomyeloneuropathy Treatment Market Size YoY Growth (2015-2026)1.6.6 Middle East & Africa Adrenomyeloneuropathy Treatment Market Size YoY Growth (2015-2026)1.7 Coronavirus Disease 2019 (Covid-19): Adrenomyeloneuropathy Treatment Industry Impact1.7.1 How the Covid-19 is Affecting the Adrenomyeloneuropathy Treatment Industry

1.7.1.1 Adrenomyeloneuropathy Treatment Business Impact Assessment Covid-19

1.7.1.2 Supply Chain Challenges

1.7.1.3 COVID-19s Impact On Crude Oil and Refined Products1.7.2 Market Trends and Adrenomyeloneuropathy Treatment Potential Opportunities in the COVID-19 Landscape1.7.3 Measures / Proposal against Covid-19

1.7.3.1 Government Measures to Combat Covid-19 Impact

1.7.3.2 Proposal for Adrenomyeloneuropathy Treatment Players to Combat Covid-19 Impact 2 Adrenomyeloneuropathy Treatment Market Overview by Therapy2.1 Global Adrenomyeloneuropathy Treatment Market Size by Therapy: 2015 VS 2020 VS 20262.2 Global Adrenomyeloneuropathy Treatment Historic Market Size by Therapy (2015-2020)2.3 Global Adrenomyeloneuropathy Treatment Forecasted Market Size by Therapy (2021-2026)2.4 Steroid Replacement Therapy2.5 Stem Cell Transplant 3 Adrenomyeloneuropathy Treatment Market Overview by Therapy3.1 Global Adrenomyeloneuropathy Treatment Market Size by End Users: 2015 VS 2020 VS 20263.2 Global Adrenomyeloneuropathy Treatment Historic Market Size by End Users (2015-2020)3.3 Global Adrenomyeloneuropathy Treatment Forecasted Market Size by End Users (2021-2026)3.4 Hospitals3.5 Clinics3.6 Ambulatory Surgical Centers3.7 Others 4 Global Adrenomyeloneuropathy Treatment Competition Analysis by Players4.1 Global Adrenomyeloneuropathy Treatment Market Size (Million US$) by Players (2015-2020)4.2 Global Top Manufacturers by Company Type (Tier 1, Tier 2 and Tier 3) (based on the Revenue in Adrenomyeloneuropathy Treatment as of 2019)4.3 Date of Key Manufacturers Enter into Adrenomyeloneuropathy Treatment Market4.4 Global Top Players Adrenomyeloneuropathy Treatment Headquarters and Area Served4.5 Key Players Adrenomyeloneuropathy Treatment Product Solution and Service4.6 Competitive Status4.6.1 Adrenomyeloneuropathy Treatment Market Concentration Rate4.6.2 Mergers & Acquisitions, Expansion Plans 5 Company (Top Players) Profiles and Key Data5.1 Ascend Biopharmaceuticals5.1.1 Ascend Biopharmaceuticals Profile5.1.2 Ascend Biopharmaceuticals Main Business and Companys Total Revenue5.1.3 Ascend Biopharmaceuticals Products, Services and Solutions5.1.4 Ascend Biopharmaceuticals Revenue (US$ Million) (2015-2020)5.1.5 Ascend Biopharmaceuticals Recent Developments5.2 Novadip Biosciences5.2.1 Novadip Biosciences Profile5.2.2 Novadip Biosciences Main Business and Companys Total Revenue5.2.3 Novadip Biosciences Products, Services and Solutions5.2.4 Novadip Biosciences Revenue (US$ Million) (2015-2020)5.2.5 Novadip Biosciences Recent Developments5.3 Eureka Therapeutics5.5.1 Eureka Therapeutics Profile5.3.2 Eureka Therapeutics Main Business and Companys Total Revenue5.3.3 Eureka Therapeutics Products, Services and Solutions5.3.4 Eureka Therapeutics Revenue (US$ Million) (2015-2020)5.3.5 Human Longevity Recent Developments5.4 Human Longevity5.4.1 Human Longevity Profile5.4.2 Human Longevity Main Business and Companys Total Revenue5.4.3 Human Longevity Products, Services and Solutions5.4.4 Human Longevity Revenue (US$ Million) (2015-2020)5.4.5 Human Longevity Recent Developments5.5 Regeneus5.5.1 Regeneus Profile5.5.2 Regeneus Main Business and Companys Total Revenue5.5.3 Regeneus Products, Services and Solutions5.5.4 Regeneus Revenue (US$ Million) (2015-2020)5.5.5 Regeneus Recent Developments5.6 Allogene Therapeutics5.6.1 Allogene Therapeutics Profile5.6.2 Allogene Therapeutics Main Business and Companys Total Revenue5.6.3 Allogene Therapeutics Products, Services and Solutions5.6.4 Allogene Therapeutics Revenue (US$ Million) (2015-2020)5.6.5 Allogene Therapeutics Recent Developments5.7 BioRestorative Therapies5.7.1 BioRestorative Therapies Profile5.7.2 BioRestorative Therapies Main Business and Companys Total Revenue5.7.3 BioRestorative Therapies Products, Services and Solutions5.7.4 BioRestorative Therapies Revenue (US$ Million) (2015-2020)5.7.5 BioRestorative Therapies Recent Developments5.8 Immatics Biotechnologies5.8.1 Immatics Biotechnologies Profile5.8.2 Immatics Biotechnologies Main Business and Companys Total Revenue5.8.3 Immatics Biotechnologies Products, Services and Solutions5.8.4 Immatics Biotechnologies Revenue (US$ Million) (2015-2020)5.8.5 Immatics Biotechnologies Recent Developments5.9 NewLink Genetics5.9.1 NewLink Genetics Profile5.9.2 NewLink Genetics Main Business and Companys Total Revenue5.9.3 NewLink Genetics Products, Services and Solutions5.9.4 NewLink Genetics Revenue (US$ Million) (2015-2020)5.9.5 NewLink Genetics Recent Developments5.10 Cytori Therapeutics5.10.1 Cytori Therapeutics Profile5.10.2 Cytori Therapeutics Main Business and Companys Total Revenue5.10.3 Cytori Therapeutics Products, Services and Solutions5.10.4 Cytori Therapeutics Revenue (US$ Million) (2015-2020)5.10.5 Cytori Therapeutics Recent Developments5.11 Talaris Therapeutics5.11.1 Talaris Therapeutics Profile5.11.2 Talaris Therapeutics Main Business and Companys Total Revenue5.11.3 Talaris Therapeutics Products, Services and Solutions5.11.4 Talaris Therapeutics Revenue (US$ Million) (2015-2020)5.11.5 Talaris Therapeutics Recent Developments 6 North America Adrenomyeloneuropathy Treatment by Players and by End Users6.1 North America Adrenomyeloneuropathy Treatment Market Size and Market Share by Players (2015-2020)6.2 North America Adrenomyeloneuropathy Treatment Market Size by End Users (2015-2020) 7 Europe Adrenomyeloneuropathy Treatment by Players and by End Users7.1 Europe Adrenomyeloneuropathy Treatment Market Size and Market Share by Players (2015-2020)7.2 Europe Adrenomyeloneuropathy Treatment Market Size by End Users (2015-2020) 8 China Adrenomyeloneuropathy Treatment by Players and by End Users8.1 China Adrenomyeloneuropathy Treatment Market Size and Market Share by Players (2015-2020)8.2 China Adrenomyeloneuropathy Treatment Market Size by End Users (2015-2020) 9 Rest of Asia Pacific Adrenomyeloneuropathy Treatment by Players and by End Users9.1 Rest of Asia Pacific Adrenomyeloneuropathy Treatment Market Size and Market Share by Players (2015-2020)9.2 Rest of Asia Pacific Adrenomyeloneuropathy Treatment Market Size by End Users (2015-2020) 10 Latin America Adrenomyeloneuropathy Treatment by Players and by End Users10.1 Latin America Adrenomyeloneuropathy Treatment Market Size and Market Share by Players (2015-2020)10.2 Latin America Adrenomyeloneuropathy Treatment Market Size by End Users (2015-2020) 11 Middle East & Africa Adrenomyeloneuropathy Treatment by Players and by End Users11.1 Middle East & Africa Adrenomyeloneuropathy Treatment Market Size and Market Share by Players (2015-2020)11.2 Middle East & Africa Adrenomyeloneuropathy Treatment Market Size by End Users (2015-2020) 12 Adrenomyeloneuropathy Treatment Market Dynamics12.1 Industry Trends12.2 Market Drivers12.3 Market Challenges12.4 Porters Five Forces Analysis 13 Research Finding /Conclusion 14 Methodology and Data Source 14.1 Methodology/Research Approach14.1.1 Research Programs/Design14.1.2 Market Size Estimation14.1.3 Market Breakdown and Data Triangulation14.2 Data Source14.2.1 Secondary Sources14.2.2 Primary Sources14.3 Disclaimer14.4 Author List

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Adrenomyeloneuropathy Treatment Market Size, Key Trends, Challenges and Standardization, Research, Key Players, Economic Impact and Forecast to 2026|...

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Precision Medicine Software Market to See Massive Growth by 2026| Syapse, Allscripts, Qiagen, Roper Technologies, Fabric Genomics, Foundation…

Posted: at 10:49 am

Global Precision Medicine Software Market: Trends Estimates High Demand by 2027

The Precision Medicine Software Market 2020 report includes the market strategy, market orientation, expert opinion and knowledgeable information. The Precision Medicine Software Industry Report is an in-depth study analyzing the current state of the Precision Medicine Software Market. It provides a brief overview of the market focusing on definitions, classifications, product specifications, manufacturing processes, cost structures, market segmentation, end-use applications and industry chain analysis. The study on Precision Medicine Software Market provides analysis of market covering the industry trends, recent developments in the market and competitive landscape.

It takes into account the CAGR, value, volume, revenue, production, consumption, sales, manufacturing cost, prices, and other key factors related to the global Precision Medicine Software market. All findings and data on the global Precision Medicine Software market provided in the report are calculated, gathered, and verified using advanced and reliable primary and secondary research sources. The regional analysis offered in the report will help you to identify key opportunities of the global Precision Medicine Software market available in different regions and countries.

The final report will add the analysis of the Impact of Covid-19 in this report Precision Medicine Software industry.

Some of the companies competing in the Precision Medicine Software markets are: Syapse, Allscripts, Qiagen, Roper Technologies, Fabric Genomics, Foundation Medicine, Sophia Genetics, PierianDx, Human Longevity, Translational Software, Gene42, Inc, Lifeomic Health

Get a Free Sample [emailprotected] https://www.reportsandmarkets.com/sample-request/global-precision-medicine-software-market-2019-by-company-regions-type-and-application-forecast-to-2024

The report scrutinizes different business approaches and frameworks that pave the way for success in businesses. The report used Porters five techniques for analyzing the Precision Medicine Software Market; it also offers the examination of the global market. To make the report more potent and easy to understand, it consists of info graphics and diagrams. Furthermore, it has different policies and development plans which are presented in summary. It analyzes the technical barriers, other issues, and cost-effectiveness affecting the market.

Global Precision Medicine Software Market Research Report 2020 carries in-depth case studies on the various countries which are involved in the Precision Medicine Software market. The report is segmented according to usage wherever applicable and the report offers all this information for all major countries and associations. It offers an analysis of the technical barriers, other issues, and cost-effectiveness affecting the market. Important contents analyzed and discussed in the report include market size, operation situation, and current & future development trends of the market, market segments, business development, and consumption tendencies. Moreover, the report includes the list of major companies/competitors and their competition data that helps the user to determine their current position in the market and take corrective measures to maintain or increase their share holds.

What questions does the Precision Medicine Software market report answer pertaining to the regional reach of the industry

The report claims to split the regional scope of the Precision Medicine Software market into North America, Europe, Asia-Pacific, South America & Middle East and Africa. Which among these regions has been touted to amass the largest market share over the anticipated duration

How do the sales figures look at present How does the sales scenario look for the future

Considering the present scenario, how much revenue will each region attain by the end of the forecast period

How much is the market share that each of these regions has accumulated presently

How much is the growth rate that each topography will depict over the predicted timeline

A short overview of the Precision Medicine Software market scope:

Global market remuneration

Overall projected growth rate

Industry trends

Competitive scope

Product range

Application landscape

Supplier analysis

Marketing channel trends Now and later

Sales channel evaluation

Market Competition Trend

Market Concentration Rate

Reasons for Buying this Report

This report provides pin-point analysis for changing competitive dynamics

It provides a forward looking perspective on different factors driving or restraining market growth

It provides a six-year forecast assessed on the basis of how the market is predicted to grow

It helps in understanding the key product segments and their future

It provides pin point analysis of changing competition dynamics and keeps you ahead of competitors

It helps in making informed business decisions by having complete insights of market and by making in-depth analysis of market segments

TABLE OF CONTENT:

Chapter 1:Precision Medicine Software Market Overview

Chapter 2: Global Economic Impact on Industry

Chapter 3:Precision Medicine Software Market Competition by Manufacturers

Chapter 4: Global Production, Revenue (Value) by Region

Chapter 5: Global Supply (Production), Consumption, Export, Import by Regions

Chapter 6: Global Production, Revenue (Value), Price Trend by Type

Chapter 7: Global Market Analysis by Application

Chapter 8: Manufacturing Cost Analysis

Chapter 9: Industrial Chain, Sourcing Strategy and Downstream Buyers

Chapter 10: Marketing Strategy Analysis, Distributors/Traders

Chapter 11: Precision Medicine Software Market Effect Factors Analysis

Chapter 12: GlobalPrecision Medicine Software Market Forecast to 2027

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Precision Medicine Software Market to See Massive Growth by 2026| Syapse, Allscripts, Qiagen, Roper Technologies, Fabric Genomics, Foundation...

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Millions of historic newspaper images get the machine learning treatment at the Library of Congress – TechCrunch

Posted: at 10:48 am

Historians interested in the way events and people were chronicled in the old days once had to sort through card catalogs for old papers, then microfiche scans, then digital listings but modern advances can index them down to each individual word and photo. A new effort from the Library of Congress has digitized and organized photos and illustrations from centuries of news using state of the art machine learning.

Led by Ben Lee, a researcher from the University of Washington occupying the Librarys Innovator in Residence position, the Newspaper Navigator collects and surfaces data from images from some 16 million pages of newspapers throughout American history.

Lee and his colleagues were inspired by work already being done in Chronicling America, an ongoing digitization effort for old newspapers and other such print materials. While that work used optical character recognition to scan the contents of all the papers, there was also a crowdsourced project in which people identified and outlined images for further analysis. Volunteers drew boxes around images relating to World War I, then transcribed the captions and categorized the picture.

This limited effort set the team thinking.

I loved it because it emphasized the visual nature of the pages seeing the visual diversity of the content coming out of the project, I just thought it was so cool, and I wondered what it would be like to chronicle content like this from all over America, Lee told TechCrunch.

He also realized that what the volunteers had created was in fact an ideal set of training data for a machine learning system. The question was, could we use this stuff to create an object detection model to go through every newspaper, to throw open the treasure chest?

The answer, happily, was yes. Using the initial human-powered work of outlining images and captions as training data, they built an AI agent that could do so on its own. After the usual tweaking and optimizing, they set it loose on the full Chronicling America database of newspaper scans.

It ran for 19 days nonstop definitely the largest computing job Ive ever run, said Lee. But the results are remarkable: millions of images spanning three centuries (from 1789 to 1963) and organized with metadata pulled from their own captions. The team describes their work in a paper you can read here.

Assuming the captions are at all accurate, these images until recently only accessible by trudging through the archives date by date and document by document can be searched for by their contents, like any other corpus.

Looking for pictures of the president in 1870? No need to browse dozens of papers looking for potential hits and double-checking the contents in the caption just search Newspaper Navigator for president 1870. Or if you want editorial cartoons from the World War II era, you can just get all illustrations from a date range. (The team has already zipped up the photos into yearly packages and plans other collections.)

Here are a few examples of newspaper pages with the machine learning systems determinations overlaid on them (warning: plenty of hat ads and racism):

Thats fun for a few minutes for casual browsers, but the key thing is what it opens up for researchers and other sets of documents. The team is throwing a data jam today to celebrate the release of the data set and tools, during which they hope to both discover and enable new applications.

Hopefully it will be a great way to get people together to think of creative ways the data set can be used, said Lee. The idea Im really excited by from a machine learning perspective is trying to build out a user interface where people can build their own data set. Political cartoons or fashion ads, just let users define theyre interested in and train a classifier based on that.

A sample of what you might get if you asked for maps from the Civil War era.

In other words, Newspaper Navigators AI agent could be the parent for a whole brood of more specific ones that could be used to scan and digitize other collections. Thats actually the plan within the Library of Congress, where the digital collections team has been delighted by the possibilities brought up by Newspaper Navigator, and machine learning in general.

One of the things were interested in is how computation can expand the way were enabling search and discovery, said Kate Zwaard. Because we have OCR, you can find things it would have taken months or weeks to find. The Librarys book collection has all these beautiful plates and illustrations. But if you want to know like, what pictures are there of the Madonna and child, some are categorized, but others are inside books that arent catalogued.

That could change in a hurry with an image-and-caption AI systematically poring over them.

Newspaper Navigator, the code behind it and all the images and results from it are completely public domain, free to use or modify for any purpose. You can dive into the code at the projects GitHub.

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Millions of historic newspaper images get the machine learning treatment at the Library of Congress - TechCrunch

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Could quantum machine learning hold the key to treating COVID-19? – Tech Wire Asia

Posted: at 10:48 am

Sundar Pichai, CEO of Alphabet with one of Googles quantum computers. Source: AFP PHOTO / GOOGLE/HANDOUT

Scientific researchers are hard at work around the planet, feverishly crunching data using the worlds most powerful supercomputers in the hopes of a speedier breakthrough in finding a vaccine for the novel coronavirus.

Researchers at Penn State University think that they have hit upon a solution that could greatly accelerate the process of discovering a COVID-19 treatment, employing an innovative hybrid branch of research known as quantum machine learning.

When it comes to a computer science-driven approach to identifying a cure, most methodologies harness machine learning to screen different compounds one at a time to see if they might bond with the virus main protease, or protein.

This process is arduous and time-consuming, despite the fact that the most powerful computers were actually condensing years (maybe decades) of drug testing into less than two years time. Discovering any new drug that can cure a disease is like finding a needle in a haystack, said lead researcher Swaroop Ghosh, the Joseph R. and Janice M. Monkowski Career Development Assistant Professor of Electrical Engineering and Computer Science and Engineering at Penn State.

It is also incredibly expensive. Ghosh says the current pipeline for discovering new drugs can take between five and ten years from the concept stage to being released to the market, and could cost billions in the process.

High-performance computing such as supercomputers and artificial intelligence (AI) canhelp accelerate this process by screeningbillions of chemical compounds quicklyto findrelevant drugcandidates, he elaborated.

This approach works when enough chemical compounds are available in the pipeline, but unfortunately this is not true for COVID-19. This project will explorequantum machine learning to unlock new capabilities in drug discovery by generating complex compounds quickly.

Quantum machine learning is an emerging field that combines elements of machine learning with quantum physics. Ghosh and his doctoral students had in the past developed a toolset for solving a specific set of problems known as combinatorial optimization problems, using quantum computing.

Drug discovery computation aligns with combinatorial optimization problems, allowing the researchers to tap the same toolset in the hopes of speeding up the process of discovering a cure, in a more cost-effective fashion.

Artificial intelligence for drug discovery is a very new area, Ghosh said. The biggest challenge is finding an unknown solution to the problem by using technologies that are still evolving that is, quantum computing and quantum machine learning. We are excited about the prospects of quantum computing in addressing a current critical issue and contributing our bit in resolving this grave challenge.

Joe Devanesan | @thecrystalcrown

Joe's interest in tech began when, as a child, he first saw footage of the Apollo space missions. He still holds out hope to either see the first man on the moon, or Jetsons-style flying cars in his lifetime.

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Could quantum machine learning hold the key to treating COVID-19? - Tech Wire Asia

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Udacity partners with AWS to offer scholarships on machine learning for working professionals – Business Insider India

Posted: at 10:48 am

All applicants will be able to join the AWS Machine Learning Foundations Course. While applications are on currently, enrollment for the course begins on May 19.

This course will provide an understanding of software engineering and AWS machine learning concepts including production-level coding and practice object-oriented programming. They will also learn about deep learning techniques and its applications using AWS DeepComposer. Advertisement

A major reason behind the increasing uptake of such niche courses among the modern-age learners has to do with the growing relevance of technology across all spheres the world over. In its wake, many high-value job roles are coming up that require a person to possess immense technical proficiency and knowledge in order to assume them. And machine learning is one of the key components of the ongoing AI revolution driving digital transformation worldwide, said Gabriel Dalporto, CEO of Udacity.

The top 325 performers in the foundation course will be awarded with a scholarship to join Udacitys Machine Learning Engineer Nanodegree program. In this advanced course, the students will work on ML tools from AWS. This includes real-time projects that are focussed on specific machine learning skills.

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Udacity partners with AWS to offer scholarships on machine learning for working professionals - Business Insider India

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Webinar: Transform Data into Actionable Intelligence: How to Reach Operational Excellence with Machine Learning – World Cement

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Unlocking the power of Artificial Intelligence and Machine Learning (AI/ML) is projected to drive the next generation of industrial manufacturing.

Actionable intelligence is not created equal, as there is a clear difference in performance between organisations using simple analytics and modeling tools, and those who embrace predictive and prescriptive insights into their decision-making processes and company culture.

With initiatives to increase yield, improve energy recovery, and stabilise operations, cement producers are facing how to best leverage technology and their existing data to drive measurable business results.

Petuums award-winning AI/ML products bring capabilities above and beyond traditional process control techniques. Petuum takes a data-driven and dynamic approach to improve process workflows, with the ability to configure AI models based on your operating preferences and ever-changing business goals and constraints.

During this webinar, Petuum will present:

CEMEX, one of Petumms global customers, says, Petuum helped us achieve something we didnt think was possible. We expect our yield improvements and energy savings to be up to 7%.

Register now to learn more.

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Webinar: Transform Data into Actionable Intelligence: How to Reach Operational Excellence with Machine Learning - World Cement

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Big Data & Machine Learning in Telecom Market Growth Trends, Key Players, Competitive Methods And Forecast To 2026 – Cole of Duty

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The research report offers a comprehensive Coronavirus COVID-19 impact analysis of the Global Big Data & Machine Learning in Telecom Market, emphasizing on the key factors impacting the growth of the market. The factors affecting the growth of the market have been studied thoroughly and valuation of the market has been provided in the report. This report provides accurate information about various aspects, such as production chain, manufacturing capacity, and industry policies impacting the Global Big Data & Machine Learning in Telecom Market It analyzes the competitive landscape of this market and examined geographical distribution at length.

The recent developments in the market have also been taken into consideration while estimating the markets future scenario. This allows readers and market participants in forming efficient market strategies. Moreover, profiles of some of the leading players operating in the Global Big Data & Machine Learning in Telecom Market are profiled, including a detailed SWOT analysis that projects an overview of the potential growth trajectory of the market players in the coming years. It also discusses product portfolio, business segmentation, revenue, and financial overview of the leading players.

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This report covers leading companies associated in Big Data & Machine Learning in Telecom market:

Scope of Big Data & Machine Learning in Telecom Market:The global Big Data & Machine Learning in Telecom market is valued at million US$ in 2017 and will reach million US$ by the end of 2025, growing at a CAGR of during 2018-2025.

This Market Report includesdrivers and restraints of the global Big Data & Machine Learning in Telecom market and their impact on each region during the forecast period. The report also comprises the study of current issues with consumers and opportunities. It also includes value chain analysis.

On the basis on the end users/applications,this report focuses on the status and outlook for major applications/end users, sales volume, Big Data & Machine Learning in Telecom market share and growth rate of Big Data & Machine Learning in Telecom foreach application, including-

On the basis of product,this report displays the sales volume, revenue (Million USD), product price, Big Data & Machine Learning in Telecom market share and growth rate ofeach type, primarily split into-

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Big Data & Machine Learning in Telecom Market: Regional analysis includes:

Big Data & Machine Learning in Telecom Market Report Structure at a Glance:

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AI/ Machine Learning Market 2020: Global Industry Analysis by Size, Share, Growth, Trends and Forecast Till 2025 – Cole of Duty

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In 2017, the global AI/Machine Learning market size was million US$ and it is expected to reach million US$ by the end of 2025, with a CAGR of during 2018-2025.

This report focuses on the global AI/Machine Learning status, future forecast, growth opportunity, key market and key players. The study objectives are to present the AI/Machine Learning development in United States, Europe and China.

The key players covered in this study

GOOGLE

IBM

BAIDU

SOUNDHOUND

ZEBRA MEDICAL VISION

PRISMA

IRIS AI

PINTEREST

TRADEMARKVISION

DESCARTES LABS

Amazon

Market segment by Type, the product can be split into

TensorFlow

Caffe2

Apache MXNet

Market segment by Application, split into

Automotive

Santific Research

Big Date

Other

Market segment by Regions/Countries, this report covers

United States

Europe

China

Japan

Southeast Asia

India

Central & South America

The study objectives of this report are:

To analyze global AI/Machine Learning status, future forecast, growth opportunity, key market and key players.

To present the AI/Machine Learning development in United States, Europe and China.

To strategically profile the key players and comprehensively analyze their development plan and strategies.

To define, describe and forecast the market by product type, market and key regions.

In this study, the years considered to estimate the market size of AI/Machine Learning are as follows:

History Year: 2013-2017

Base Year: 2017

Estimated Year: 2018

Forecast Year 2018 to 2025

For the data information by region, company, type and application, 2017 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.

Table of Contents

Chapter One: Report Overview

1.1 Study Scope

1.2 Key Market Segments

1.3 Players Covered

1.4 Market Analysis by Type

1.4.1 Global AI/Machine Learning Market Size Growth Rate by Type (2013-2025)

1.4.2 TensorFlow

1.4.3 Caffe2

1.4.4 Apache MXNet

1.5 Market by Application

1.5.1 Global AI/Machine Learning Market Share by Application (2013-2025)

1.5.2 Automotive

1.5.3 Santific Research

1.5.4 Big Date

1.5.5 Other

1.6 Study Objectives

1.7 Years Considered

Chapter Two: Global Growth Trends

2.1 AI/Machine Learning Market Size

2.2 AI/Machine Learning Growth Trends by Regions

2.2.1 AI/Machine Learning Market Size by Regions (2013-2025)

2.2.2 AI/Machine Learning Market Share by Regions (2013-2018)

2.3 Industry Trends

2.3.1 Market Top Trends

2.3.2 Market Drivers

2.3.3 Market Opportunities

Chapter Three: Market Share by Key Players

3.1 AI/Machine Learning Market Size by Manufacturers

3.1.1 Global AI/Machine Learning Revenue by Manufacturers (2013-2018)

3.1.2 Global AI/Machine Learning Revenue Market Share by Manufacturers (2013-2018)

3.1.3 Global AI/Machine Learning Market Concentration Ratio (CRChapter Five: and HHI)

3.2 AI/Machine Learning Key Players Head office and Area Served

3.3 Key Players AI/Machine Learning Product/Solution/Service

3.4 Date of Enter into AI/Machine Learning Market

3.5 Mergers & Acquisitions, Expansion Plans

Chapter Four: Breakdown Data by Type and Application

4.1 Global AI/Machine Learning Market Size by Type (2013-2018)

4.2 Global AI/Machine Learning Market Size by Application (2013-2018)

Chapter Five: United States

5.1 United States AI/Machine Learning Market Size (2013-2018)

5.2 AI/Machine Learning Key Players in United States

5.3 United States AI/Machine Learning Market Size by Type

5.4 United States AI/Machine Learning Market Size by Application

Chapter Six: Europe

6.1 Europe AI/Machine Learning Market Size (2013-2018)

6.2 AI/Machine Learning Key Players in Europe

6.3 Europe AI/Machine Learning Market Size by Type

6.4 Europe AI/Machine Learning Market Size by Application

Chapter Seven: China

7.1 China AI/Machine Learning Market Size (2013-2018)

7.2 AI/Machine Learning Key Players in China

7.3 China AI/Machine Learning Market Size by Type

7.4 China AI/Machine Learning Market Size by Application

Chapter Eight: Japan

8.1 Japan AI/Machine Learning Market Size (2013-2018)

8.2 AI/Machine Learning Key Players in Japan

8.3 Japan AI/Machine Learning Market Size by Type

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Business is booming for these 14 companies during the coronavirus pandemic – KTEN

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By Jordan Valinsky, CNN Business

The coronavirus pandemic has been, to say the least, grim for business. Widespread layoffs and furloughs have prompted about 21% of the US labor force to file for unemployment benefits since mid-March, and economists say the United States is likely already in a recession. And even as states begin to reopen, many of the jobs that have been lost may never come back.

But during this upheaval, some companies been thriving because of dramatic shifts in consumer behavior.

Restaurants, bars, offices and gyms are largely empty as millions of Americans stay home to halt the spread of the coronavirus. That's created new opportunities for several companies.

Popular video games like first-person shooters, football and cute animals have been a boon for the top gaming companies.

Activision Blizzard said "Call of Duty: Modern Warfare," which came out in September, has sold more copies than any other "Call of Duty" title at this point after its release. Sales were $1.52 billion in the first quarter, up 21% compared with last year's $1.26 billion.

For Electronic Arts, fourth-quarter revenue grew 12% compared with last year. It was buoyed by FIFA, Madden NFL, The Sims 4. Like Activision, it also benefited from people staying at home and looking for a distraction.

Nintendo said Thursday its annual profit surged 41%, its highest in nine years. And profit in the first three months of 2020 more than tripled compared with the previous quarter.

Sales this spring were driven by the breakout success of "Animal Crossing: New Horizons," a game set on an island utopia. The company sold more than 13 million units of the game in its first six weeks. The Nintendo Switch console also continues to be hard to find, with the company selling more than 21 million units during the last fiscal year.

People can't stop sanitizing, bleaching and cleaning every nook and cranny of their dwellings. That's benefiting Clorox and Reckitt Benckiser, the makers of the world's top cleaning products.

Clorox said last week its overall sales jumped 15% for the first quarter. Sales of Clorox's cleaning segment, which includes its wipes and beaches, jumped 32%. There was also "increased consumer demand" for cat litter and grilling necessities, which fueled a 2% sales increase in its household segment.

Reckitt Benckiser, the British company that makes Lysol and Dettol, is also seeing record sales. First-quarter sales rose 13.5% because of "strong consumer demand" for disinfectants. (The company has also found itself in the spotlight for more than just strong demand for its products.)

In March and April, the sales of aerosol disinfectants jumped 230.5% and multipurpose cleaners 109.1% from this time last year, according to research firm Nielsen.

Peloton makes in-home workout products, including bikes and treadmills. Unsurprisingly, it reported Wednesday a blowout quarter: Revenue grew 66% and membership for its app rose 30%. The company, which has a loyal following, also raised its full-year forecast because it doesn't expect demand to decline anytime soon.

The need for household necessities and food has benefited some of the country's largest grocers, which remained open as essential businesses.

Publix recently said that sales for the first three months of the year jumped 10% to $1 billion. Sales at stores open at least a year grew 14.4%.

Kroger also benefited from the pandemic. The grocery store recently said sales at stores open at least a year surged 30% in March. Its best-selling items were boxed meals and cleaning and paper products. As a result, Kroger said it expects its first-quarter results to be better than expected.

Beyond Meat's revenue more than doubled in the first quarter, the company reported Tuesday. In the first three months of the year, sales reached $97.1 million, up 141% from $40.2 million in the same period last year.

The results "exceeded our expectations," said CEO Ethan Brown. In the United States, retail sales grew 157% compared with the same period last year. The plant-based meat company is in a strong position as it moves into the Chinese market and as the US faces a national meat shortage.

3M said the virus spurred "strong growth" for its personal safety products, including gowns and the N95 respirator masks needed by medical professionals. First-quarter revenue grew nearly 3% to $8.08 billion. That was bolstered by a 21% growth in its health-care segment and 4.6% in consumer goods, like Scotch-Brite sponges

With much of the country working from home, it leaves a lot of time to think about room refresh.

Wayfair's sales for its most recent quarter increased 20% compared with the same period last year. The online retailer said it's seeing " strong acceleration in new and repeat customer orders," with the number of orders growing 21% to 9.9 million.

Rival Overstock also said that its April retail sales were up 120% compared to the same month last year, with growth occurring in its "key home furnishings categories."

For people who can work remotely, Slack and Zoom have become ubiquitous communication tools.

Slack Technologies said it added 9,000 new paid customers, an increase 80% compared to the previous quarter, between February 1 and March 25. Not only are they adding more people, users are becoming chattier: "The number of messages sent per user per day increased by an average of 20% globally," Slack said in a press release.

Zoom, a video conferencing tool, has clearly been the biggest brand to break out. The company hosts 300 million meeting participants a day, according to CEO Eric Yuan. Zoom previously said it crossed 200 million daily meeting participants in March. Its stock is up 120% for the year.

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Five Artists to Follow on Instagram Now – The New York Times

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I am less than pleased with the sponsored advertising-to-content ratio on Instagram. And yet that social media platform is still the best for looking at art and witnessing the creative process of an artist. (And I use the word artist loosely: Im an avid consumer of memes.) I once described Instagram to a fellow critic as the show-me-the-money platform, and she agreed: substance (or lack thereof) is revealed pretty quickly, since youre generally looking at one image at a time with minimal captioning. I overhaul my feed frequently, unfollowing accounts that fail to amuse, inspire or inform. Here are five Instagram accounts I consistently view; New York Times critics will be posting their own picks every week.

OlaRonke Akinmowos project is a mobile, pop-up library that showcases literature written by black women. It could be described as a social practice artwork, but also a participatory one: to borrow a book, you must give a book. I have learned about overlooked writers here, but also about Regina Anderson Andrews, who headed a library in Harlem and was friendly with Zora Neale Hurston and Langston Hughes. Ms. Akinmowo, who lives in Brooklyn, has taken the library to the NY Art Book Fair. During the quarantine shes focused on authors like Octavia Butler, the science fiction writer who predicted some of the dystopias were now experiencing. Ms. Akinmowo also posts some of her own collages, like one devoted to Harriet Tubman, which combine black and white found images with bright, almost psychedelic flourishes.

How to live? Andrea Zittels Instagram profile asks. Great question. Ms. Zittel offers a model in A-Z West, her Institute of Investigative Living on 70 acres in Joshua Tree, Calif., that serves as a self-actualized art-in-the-desert fantasy. You could name many precedents for Ms. Zittels project: Drop City in Colorado, with its dome architecture inspired by Buckminster Fuller; Arcosanti in Arizona; or Georgia OKeeffe and Agnes Martins art studios in the American Southwest. Ms. Zittels version of semi-off-the-grid, live-work-create utopia can be experienced close-hand(ish) on Instagram. Modernist-influenced buildings, furniture, weavings and clothing function here not just as daily trappings but also as an ongoing investigation into human nature and the social construction of needs. Ms. Zittel has been working on these concepts for more than 20 years. The rest of us are getting a crash course.

I know a lot about art, the Canadian painter and writer Brad Phillips brags on his Instagram profile. OK, so whatve you got, smart guy? First of all, Mr. Phillips works best with words, arranged into minimal acerbic poems on his account @brad_phillips. (One reads America is my favourite movie.) The other account, @brad_phillips_group_show, is an agreeable reminder that artists often make the best curators. Here you can see the work of Cristine Brache (Mr. Phillipss wife), who also twists words into artworks, or Lon Spilliaert (1881-1946), an outr Belgian Symbolist painter who worked as an illustrator for Edgar Allan Poes publisher and shared a similar creepy, horror-tinged approach. Like those of most artist-curators, Mr. Phillipss picks are highly idiosyncratic and reflect his own works proclivities. But unlike many artists who think they can school you on art, Mr. Phillips actually delivers.

David Adjaye is the world-renowned architect who led the consortium that designed the National Museum of African American History and Culture in Washington. More than practically any other account I follow, his Instagram visual sketchbook allows you to see inside the mind of a great designer. You get to travel the world like an international starchitect, and view the built environment from a technical angle. Mr. Adjaye, of Ghanaian descent, marvels over modernist buildings and palm-roofed structures in Ghana. He also analyzes high modernist architecture, and structures made by non-humans, like a termite tower in Africa constructed to avoid floods. Humans, Mr. Adjaye informs us, use these astonishing towers as a marker of where to construct their own dwellings. Talk about organic architecture, one commenter marveled.

Funny is good at this moment. David Shrigley, a British artist who creates posters, books, cartoons, tattoos and other stuff, as his website describes it, long ago mastered the art-as-comedy angle. His crudely drawn illustrations are wry, smart, sometimes angry, sometimes self-effacing but almost always absurd. They parallel a generation of dry, weird comedy from Britain, including Sacha Baron Cohen, Eddie Izzard or Little Britain (Matt Lucas and David Walliams). His creations work equally well on the gallery wall, hung salon-style at Anton Kern in New York, or on Instagram, where the images are stripped down, even more existential and sometimes naughtier. One recent drawing declares It Wont Be Like This Forever. Styled as a tabloid newspaper cover, this message registers as reassuring, but with a hint of menace.

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