The costs and benefits of artificial intelligence – The Japan Times

Posted on August 10, 2020 by admin

New York The robots are no longer coming; they are here. The COVID-19 pandemic is hastening the spread of artificial intelligence, but few have fully considered the short- and long-run consequences.

In thinking about AI, it is natural to start from the perspective of welfare economics productivity and distribution. What are the economic effects of robots that can replicate human labor? Such concerns are not new. In the 19th century, many feared that new mechanical and industrial innovations would replace workers. The same concerns are being echoed today.

Consider a model of a national economy in which labor performed by robots matches that performed by humans. The total volume of labor robotic and human will reflect the number of human workers, H, plus the number of robots, R. Here, the robots are additive they add to the labor force rather than multiplying human productivity. To complete the model in the simplest way, suppose the economy has just one sector, and that aggregate output is produced by capital and total labor, human and robotic. This output provides for the countrys consumption, with the rest going toward investment, thus increasing the capital stock.

What is the initial economic impact when these additive robots arrive? Elementary economics shows that an increase in total labor relative to initial capital a drop in the capital-labor ratio causes wages to drop and profits to rise.

There are three points to add. First, the results would be magnified if the additive robots were created from refashioned capital goods. That would yield the same increase in total labor, with a commensurate reduction in the capital stock, but the drop in the wage rate and the increase in the rate of profit would be greater.

Second, nothing would change if we adopted the Austrian Schools two-sector framework in which labor produces the capital good and the capital good produces the consumer good. The arrival of robots still would decrease the capital-labor ratio, as it did in the one-sector scenario.

Third, there is a striking parallel between the models additive robots and newly arrived immigrants in their impact on native workers. By pushing down the capital-labor ratio, immigrants, too, initially cause wages to drop and profits to rise. But it should be noted that with the rate of profit elevated, the rate of investment will rise. Owing to the law of diminishing returns, that additional investment will drive down the profit rate until it has fallen back to normal. At this point, the capital-labor ratio will be back to where it was before the robots arrived, and the wage rate will be pulled back up.

To be sure, the general public tends to assume that robotization (and automation generally) leads to a permanent disappearance of jobs, and thus to the immiseration of the working class. But such fears are exaggerated. The two models described above abstract from the familiar technological progress that drives up productivity and wages, making it reasonable to anticipate that the global economy will sustain some level of growth in labor productivity and compensation per worker.

True, sustained robotization would leave wages on a lower path than they otherwise would have taken, which would create social and political problems. It may prove desirable, as Bill Gates once suggested, to levy taxes on income from robot labor, just as countries levy taxes on income from human labor. This idea deserves careful consideration. But fears of prolonged robotization appear unrealistic. If robotic labor increased at a non-vanishing pace, it would run into limits of space, atmosphere, and so on.

Moreover, AI has brought not just additive robots but also multiplicative robots that enhance workers productivity. Some multiplicative robots enable people to work faster or more effectively (as in AI-assisted surgery), while others help people complete tasks they otherwise could not perform.

The arrival of multiplicative robots need not lead to a lengthy recession of aggregate employment and wages. Yet, like additive robots, they have their downsides. Many AI applications are not entirely safe. The obvious example is self-driving cars, which can (and have) run into pedestrians or other cars. But, of course, so do human drivers.

A society is not wrong, in principle, to deploy robots that are prone to occasional mistakes, just as we tolerate airplane pilots who are not perfect. We must judge costs and benefits. For efficiency, people ought to have the right to sue robots owners for damages. Inevitably, a society will feel uncomfortable with new methods that introduce uncertainty.

From the perspective of ethics, the interface with AI involves imperfect and asymmetric information. As Wendy Hall of the University of Southampton says, amplifying Nicholas Beale, We cant just rely on AI systems to act ethically because their objectives seem ethically neutral.

Indeed, some new devices can cause serious harm. Implantable chips for cognitive enhancement, for example, can cause irreversible tissue damage in the brain. The question, then, is whether laws and procedures can be instituted to protect people from a reasonable degree of harm. Barring that, many are calling on Silicon Valley companies to establish their own ethics committees.

All of this reminds me of the criticism leveled at innovations throughout the history of free-market capitalism. One such critique, the book Gemeinschaft und Gesellschaft by the sociologist Ferdinand Tonnies, ultimately became influential in Germany in the 1920s and led to the corporatism arising there and in Italy in the interwar period thus bringing an end to the market economy in those countries.

Clearly, how we address the problems raised by AI will be highly consequential. But they are not yet present on a wide scale, and they are not the main cause of the dissatisfaction and resulting polarization that have gripped the West.

Edmund S. Phelps, the 2006 Nobel laureate in economics and director of the Center on Capitalism and Society at Columbia University, is author of Mass Flourishing and co-author of Dynamism. 2020, Project Syndicate

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How Will Artificial Intelligence Change the World of Sports? – The Union Journal

Posted on August 10, 2020 by admin

Today, the technological landscape is expanding by all leaps and bounds, and Artificial Intelligence (AI) remains in the thick of it. A technology that is one for the present and future, AI is playing a massive role in shaping businesses to the core. From healthcare and entertainment to commerce and sports, Artificial Intelligence is transforming every industrial vertical for good. Here is how artificial intelligence will change the world of sports.

Speaking of the sports industry itself, the presence of AI today is to be seen in just about every major league around the world. From NHL and NFL to NASCAR and NBA, AI has changed the way we think of the sports world today. Take an example of Northern Sports only, for instance. The industry crossed a staggering figure of $73.5 billion by the end of the year 2019.

Okay so, COVID-19 has caused a dent in the sports system and a problem for sports. But well get back on track! And, if you long to know more about how AI has impacted the sports world, here is a compiled, detailed list.

Its fun and interesting to understand how Artificial Intelligence will shape or change the world sporting ecosystem around the world.

AI is changing the Sports world for good.

Be it soccer, basketball, baseball, or any other game, analyzing the performance data of players has been an age-long factor in determining whether a

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Adonis Hoffman: Cancel culture is techno tyranny it gives everyone the power to do this – Fox News

Posted on August 10, 2020 by admin

Hyper partisan politics and our divided nation make it easier than ever to vilify anyone, any time in any way. In the words of Michael Corleone, If anything in this life is certain, if history has taught us anything, it is that you can kill anyone.

Used figuratively here, of course, but that is what cancel culture has wrought in todays society.

While cancellation may seek to stifle speech, it causes social and economic destruction as well. It projects permanence and public shame for its targets whether deserved or not. And it promotes a kind of techno tyranny against which we all should be vigilant.

CABOT PHILLIPS: 'CANCEL CULTURE' DISTORTS HISTORY TO PORTRAY US AS EVIL NATION THAT MUST BE TRANSFORMED

Cancel culture is not new. So lets call it what it is: a coeval form of character assassination that has gone way too far. Almost void for vagueness, it describes at the same time the campaigns against Ellen DeGeneres and Nick Cannon, and the crusades against conservative talkers, impolitic professors and lesser-known left-wing opinionators. It even blames a newlywed couple for holding their destination wedding at an historic antebellum plantation. The list is long and growing.

Technology today empowers anyone everyone to become their own media outlet. It has liberated our ability to publish widely and without reserve and has allowed opinionsthemselvesto be bountiful, ubiquitous and cheap.

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Given such a surfeit, measuring the value of a voice has been reduced to a simple integer: the number of viewers that can be engaged. Validation does not depend upon principle or prescience and neither vision nor veracity seems to count for much anymore. Its all about the looks and the likes of those who follow.

Consider the litany of celebrities who endorse, promote and recommend products, services and viewpoints via social media. And countless others who aspire to be influencers by being louder, lewder or loftier than anyone else in the Twittersphere or on Facebook.

What trades for value today in the marketplace of ideas is a counterfeit notion of public discourse. But free expression of ideas is the standard currency. Freedom of speech, without threat of government regulation, is a defining feature of American democracy firmly enshrined in the First Amendment of the Constitution.

With very few exceptions, government restraint is not what most Americans fear.

We are free to write, speak, protest against or in favor of just about anything or anyone in our society.

Our Constitution, as viewed through decades of Supreme Court jurisprudence, permits us to burn the flag, kneel at the national anthem, or call the president anything but a child of God all with the right to bear arms at the same time.

It protects us when we disagree with Supreme Court decisions, a controversial waror legislation that cuts to our very core. Say what you want in America, just dont yell fire in a crowded theater and the First Amendment will protect your speech.

All it takes is access to social media and you, too, can cancel your enemies of choice with impunity.

Indeed, the true power of censorship rests with the people not the government. So we should not be surprised that, today, private actors are empowered to enforce censorship or cancellation over those who express unpopular opinions.

As such, we have come to fear those who trade in hate speech and hanging by hashtag to silence and destroy the lives and livelihoods of others. Whether Left, Right, Black or White it makes no difference. Because all it takes is access to social media and you, too, can cancel your enemies of choice with impunity whether they be caustics, cynics or merely clumsy communicators.

In a bygone era, we watched similar word-of-mouth campaigns conducted under the guise of boycotts and blacklists.Both practices could be sinister assassins of brand and character, indelibly bruising a reputation and good name. Its hard to find anyone that upholds being boycotted as a badge of honor, although being blacklisted might have some cachet in progressive circles, akin to a political purple heart.

We have seen the dispossessed use boycotts as a political and economic spear against status quo and conservative elements who resisted change. Products, eventsand programs were boycotted to publicly convey moral opposition to anything that was not correct.It was one of the few weapons the powerless could wield to make their point effectively, requiring little more than a cause and an object. Think Selma and Montgomery.

Sen. Joseph McCarthy, R-Wis., gives a resigned shrug at being unable to get across with one of his "point of order" interruptions, during the Senate Investigation Subcommittee hearing, in Washington, D.C., April 30, 1954. Pvt. G. David Schine was in the witness chair at the time. (AP Photo/WF)

Blacklists, conversely, were among several tools used by the entrenched establishment to arrest the momentum of people with contrary views. Those with power and wherewithal, usually on the Right, could isolate, insulate and shield their vested interests from the progress of others toward equity and inclusion. There were, of course, other ways to disenfranchise dissent. Think Joseph McCarthy and the Red Scare.

Today, a number of marquee advertisers have joined boycotts against prominent tech and media outlets. Their decision is a patent rejection of certain content on the one hand, and a latent acceptance of cancellation on the other. Whatever the intent, it comports well within the cancel culture zeitgeist.

If their actions lead to discourse and that discourse leads to new directions, then all should be forgiven. But if the boycotts yield resistance to new ways to communicate then what has been accomplished?

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Railing against cancellation, whether from the Left or the Right, is like spilling hot coffee on your dark blue suit.It may burn you up on the inside, but no one cares about it on the outside.

Restraint is the best way to vitiate the vitriol of cancel culture. And like free expression, that is a matter of individual liberty, violently protected by our Constitution.

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Adonis Hoffman: Cancel culture is techno tyranny it gives everyone the power to do this - Fox News

Penta Security Acclaimed by Frost & Sullivan for IoT-Based Innovative Smart Security Solutions – PR Newswire India

Posted on August 10, 2020 by admin

Penta Security's unique spectrum of smart security solutions includes smart cars, energy, factory, and home security solutions based on its core technologies. As each environment requires a comprehensive platform that not only includes data integrity and privacy protection but also extendable and diverse systems, Penta Security has adopted a holistic approach to security solutions by extending its offerings to intelligent transport systems, data, devices, and infrastructure management systems.

"One of our main competitive advantages is our ability to customize to deliver the highest level of reliability and protection to our customers' IoT environments while decreasing the vulnerability and risks associated with the new shift," said Seokwoo Lee, CEO and Founder of Penta Security. "The rapid development of the IoT environment is accelerating the number of security threats at an unprecedented rate. Our line of IoT solutions describes our idea used incorporating the 'Secure First, Then Connect' concept that defines the importance of implementing security by design. We expect to expand our security offerings and become a cornerstone of the IoT security market."

Over the past years, the company has partnered with one of the leading telecommunications companies to build security infrastructure for electric meter units in Norway. Furthermore, the company has successfully taken part in building smart factory security infrastructure in South Korea, one of the first countries utilizing smart city technologies in the world, with a renowned hardware chip company. Penta Security is excited to be deeply associated with the IoT security industry through its business expansion in various industries worldwide.

Penta Security was presented with Asian Cyber Security Vendor of the Year by Frost & Sullivan in 2016 for its web application firewall product, WAPPLES. Additionally, the company has successfully spun off its in-house connected vehicle security solution venture AUTOCRYPT as a separate entity in 2019 to expand its solutions worldwide.

About Penta Security

Penta Security Systems Inc. is a leader in web, IoT, and data security solutions and services. With 23 years of IT security expertise in powering secured connections, Penta Security is the top cybersecurity vendor in Asia, as recognized by Frost & Sullivan, and APAC market share leader in the WAF industry. Driving innovations across encryption, authentication, and signature-free firewall detection technology, Penta Security's whole-system approach to security enables resilience in an era of hyper web integration and connectivity. For more information on Penta Security, visit http://www.pentasecurity.com. For partnership inquiries, email [emailprotected].

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Network Encryption Market : Complete Analysis by Experts with Growth, Key Players, Regions, Opportunities, & Forecast to 2027 – Reports Watch

Posted on August 10, 2020 by admin

Reports and Data has recently added a new research study on the Global Network Encryption Market to its ever-expanding database. The report is equipped with detailed information about the product types, applications, regions, and key players operating in the market. The report provides a comprehensive analysis of the emerging trends, key challenges, growth potential, drivers, competitive landscape, and industrial chain analysis of the Global Network Encryption industry.

The latest report is furnished with the impact analysis of the current COVID-19 pandemic on the market. The pandemic has drastically changed the dynamics of the market and has affected every aspect of life globally. The rapidly changing dynamics of the market and current and future growth potential of the market are covered in the report. The report offers crucial information about the initial and future assessment of the impact of the COVID-19 crisis on the overall market.

Get a sample of the report @ https://www.reportsanddata.com/sample-enquiry-form/1555

The report covers an exhaustive analysis of manufacturing processes, development policies, plans, product portfolio, and cost analysis. The data is represented in the form of tables, charts, graphs, diagrams, and figures.

Furthermore, the report includes an in-depth analysis of the competitive landscape. The segment offers a comprehensive overview of the company profiles along with the product profiles, production capacities, products/services, pricing analysis, profit margins, and manufacturing process developments. The report also covers strategic business measures undertaken by the companies to gain substantial market share. The report provides insightful information about recent mergers and acquisitions, product launches, collaborations, joint ventures, partnerships, agreements, and government deals.

The report provides an in-depth analysis of the competitive landscape and covers profiles of key players, along with their product portfolios and business strategies.

Key players of the market mentioned in the report are:

Cisco, Thales eSecurity, Gemalto, Juniper Networks, Nokia, Atos, Ciena, ADVA, Colt Technology Services, Rohde & Schwarz Cybersecurity, Huawei, TCC, F5 Networks, Stormshield, ECI Telecom, Aruba, Senetas, Raytheon, Viasat, ARRIS, Quantum, atmedia, PacketLight Networks, Securosys, Certes Networks.

The report analyzes various product types and applications, along with manufacturing and process analysis and cost analysis. The data is further validated via extensive primary and secondary research verified by industry experts and professionals of the profiled companies.

Component Outlook (Revenue, USD Million; 2018-2026)

Data Rate Outlook (Revenue, USD Million; 2018-2026)

Transmission medium Outlook (Revenue, USD Million; 2018-2026)

Organization size Outlook (Revenue, USD Million; 2018-2026)

End user Outlook (Revenue, USD Million; 2018-2026)

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Highlights of the Network Encryption Report:

The report covers historical revenue and sales volume, and the data is validated to provide a forecast market estimation of the market size and sales numbers for key regions along with types and end-user applications. Moreover, the report also includes macroeconomic factors and regulatory policies pertaining to the Network Encryption industry for evaluation and predictive analysis.

Additionally, the report provides beneficial data about distribution, production, consumption patterns, export/import, and demand and supply ratio. The report covers the latest trends, product portfolio, demographics, regional segmentation, and regulatory framework of the Network Encryption industry.

Based on the geographical spread, the Network Encryption industry is segmented into North America, Latin America, Europe, Asia-Pacific, and the Middle East & Africa.

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Highlights of the TOC of the Network Encryption Market Report:

Global Network Encryption Market Overview

Global Network Encryption Market Size and Share by Types

Global Network Encryption Market Size and Share by Applications

Global Network Encryption Market Sales and Growth Rate

Global Network Encryption Market Competitive Landscape

Global Network Encryption Market Regional Analysis

Global Network Encryption Market Forecast Estimation (2020-2027)

Global Network Encryption Market Trends, Drivers, Challenges, Risks, and Opportunities

Global Network Encryption Market Revenue, Price, and Gross Margin for Each Segment

Global Network Encryption Market Industrial Chain Analysis

Read more about the TOC in the full report.

To get the Report Description and TOC, visit @ https://www.reportsanddata.com/report-detail/network-encryption-market

Thank you for reading our report. Customization of this report is available on chapter wise section or region wise. Kindly get in touch with us to know more about the report, and our team will provide the report suited to your needs.

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WhatsApp tests the most anticipated feature ‘expiring messages’ for privacy savvy users, and to avoid history build-up in chats and groups – Digital…

Posted on August 10, 2020 by admin

According to WABetaInfo, WhatsApp is testing a new and very exciting feature for Android users. This is going to be called expiring messages, and it basically will have the functionality of self-deleting messages.

As we all know, end-to-end encryption (E2EE) is the foundation of safe and secure messaging, and any messenger service or app that does not have E2EE is not reliable and should not be used.

WhatsApp is one of the leading messaging platforms and it is used in the entire world. To keep up with other highly competitive and challenging messaging apps like Signal and Telegram, WhatsApp keeps on testing and introducing new features. Some of them are focused on security, like encrypted multiple device access, encrypted cloud backups, Secure video calls, etc., while some features are based on less important communication factors like stickers, QR codes, web-based search for forwarded messages, etc.

This recent update about the expiring messages feature is more focused on the extended security of chat messages. Another benefit that it can provide is that self-deleting messages will not clutter the chat history. And it does not stop the users from storing screenshots or other media attachments.

This feature is already available on Signal and Telegram, and the user there can set the messages in chats and conversations to automatically disappear within few seconds to 1 week, depending on whatever option the user chooses.

This same flexibility in the duration in which messages will self-delete is most likely not going to be provided in WhatsApp. According to WABetaInfo, expiring messages will delete after a fixed period of one week. Also, this feature will be available for all chats, and any member of the chat can apply these settings in their WhatsApp, however, for groups, only admins will be able to use this feature.

It is not known yet that when this feature will officially roll out. But it surely has made people very excited and now they are highly anticipating it to be launched soon.

Then there is going to be a mute for lifetime option for chats and messages, and that is going to make life easy for a lot of people!

Recently, Whatsapp introduced a new feature that lets users search the web to verify claims in forwarded messages. This is going to put a stop on misinformation causing messages that go viral and remain un-checked!

So, all these features sound to be pretty interesting and something to look forward to.

Read next: eMarketer predicts a dramatic rise in the video viewing time and the usage of mobile apps in the US adults in 2020

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Open Technology Fund Authorization Act – BORGEN – Borgen Project

Posted on August 10, 2020 by admin

SEATTLE, Washington In response to the continued suppression of internet freedom, including access to social media and online news sources by authoritarian regimes, a bipartisan group in the U.S. House of Representatives has introduced a bill to expand global internet freedom. The Open Technology Fund Authorization Act would direct the nonprofit Open Technology Fund (OTF). OTF currently funds the creation of ways to counter censorship efforts by small tech groups. It develops technologies to skirt government censorship and enables people to access websites that their governments have blocked.

As House Foreign Affairs Committee Chairman Eliot Engel, D-N.Y. noted that the internet is a powerful tool to spread unbiased information to increasingly bigger audiences in countries without free press. This information could threaten the governments of these countries, which is why the internet is censored. The internet can be a key tool in the fight against tyranny.

According to House Foreign Affairs Committee Lead Republican Michael McCaul, R-Texas, the internet age has ushered in a new era of tyrannical governments exercising control over their citizens. Surveillance and censorship of the internet have become a growing trend in repressive regimes like China, Iran and North Korea. As a result, the U.S. Agency for Global Media has sought to expand internet freedom globally. By supporting projects that promote free communication on the internet and that counteract government censorship, censored countries can achieve internet freedom.

The bill confirms the need for the protection of internet freedom. Currently, more than two-thirds of people around the world live in countries where the internet is restricted. Authoritarian regimes spend billions of dollars every year on internet censorship and surveillance. Furthermore, the Chinese government not only restricts its own peoples access to the internet but it also exports technologies used for surveillance and censorship.

The purpose of the Open Technology Fund Authorization Act is to combat internet censorship and expand internet freedom globally. To do so, the Act would amend the United States International Broadcasting Act of 1994 by adding Sec. 309A Open Technology Fund. This new section would make yearly grants available for the purpose of supporting unrestricted access to uncensored sources of information via the internet. This would empower journalists to produce and spread the news and allow their audiences to receive such information.

This act would establish the Open Technology Fund (OTF), a grantee entity which shall carry out the provisions of this section. The mission of the OTF will be to promote freedom of the press and unrestricted internet access overseas. To sum up the goal of the Open Technology Fund Authorization Act, Representative Engel explained, If a repressive regime builds a wall [around the internet], the OTF is working to build an even taller ladder.

Rep. Michael McCaul [R-TX-10] introduced the Open Technology Fund Authorization Act in the U.S. House of Representatives on April 24, 2020. The bill has six cosponsors (3R, 3D). The bill was assigned to the House Committee on Foreign Affairs and is currently in the first stage of the legislative process.

Limiting and blocking access to the internet is a tactic of authoritarian regimes. According to Rep. McCaul, Knowledge is power, which is why information blocking has long been a hallmark of oppression. Oppressive governments censor the internet in order to maintain their grip on power. The Open Technology Fund Authorization Act would thus empower and enable people around the world to utilize the internet to further their own welfare and human rights.

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Quantum Key Distribution: The Next Generation – A Ten-year Forecast and Revenue Assessment 2020-2029 – ResearchAndMarkets.com – Benzinga

Posted on August 10, 2020 by admin

The "Quantum Key Distribution: The Next Generation - A Ten-year Forecast and Revenue Assessment: 2020 to 2029" report has been added to ResearchAndMarkets.com's offering.

This report provides forecasts and analysis for key QKD industry developments. The author was the first industry analysis firm to predict that quantum security in mobile phones would become a significant revenue earner in the short-term. Phones using QRNGs were announced earlier this year and this report discusses how the mobile QRNG market will evolve.

There have been some big developments in the QKD space. In particular, the regulatory and financial framework for the development of a vibrant QKD business has matured. On the standardization and funding front, the ITU-T standardization is near complete while both the US and UK governments have announced major funding for large-scale quantum networks with QKD as a central component. And the QuantumCtek IPO may just be the beginning of the new public companies in this space.

The report contains forecasts of the hardware and service revenues from QKD in all the major end-user groups. It also profiles all the leading suppliers of QKD boxes and services. These profiles are designed to provide the reader of this report with an understanding of how the major players are creating QKD products and building marketing strategies for QKD as quantum computers become more ubiquitous.

Key Topics Covered:

Executive Summary

E.1 Key Developments Since our Last Report

E.2 Specific Signs that the Market for QKD is Growing

E.3 Evolution of QKD Technology and its Impact on the Market

E.3.1 Reach (Transmission Distance)

E.3.2 Speed (Key Exchange Rate)

E.3.3 Cost (Equipment)

E.4 Summary of Ten-year Forecasts of QKD Markets

E.4.1 Forecasts by End-user Segment

E.5 Five Firms to Watch Closely in the QKD Space

Chapter One: Introduction

1.1 Why QKD is a Growing Market Opportunity

1.2 Overview of QKD Technological Challenges

1.3 Goals and Scope of this Report

1.4 Methodology of this Report

1.5 Plan of this Report

Chapter Two: Technological Assessment

2.1 Setting the Scene: QKD in Cryptography-land

2.2 Why QKD: What Exactly does QKD Bring to the Cryptography Table?

2.3 PQC's Love-Hate Relationship with QKD

2.4 QKD's Technological Challenges

2.5 QKD Transmission Infrastructure

2.6 Chip-based QKD

2.7 QKD Standardization: Together we are Stronger

2.8 Key Takeaways from this Chapter

Chapter Three: QKD Markets - Established and Emerging

3.1 QKD Markets: A Quantum Opportunity Being Driven by Quantum Threats

3.2 Government and Military Markets - Where it all Began

3.3 Civilian Markets for QKD

3.4 Key Points from this Chapter

Chapter Four: Ten-year Forecasts of QKD Markets

4.1 Forecasting Methodology

4.2 Changes in Forecast Since Our Last Report

4.2.1 The Impact of COVID-19

4.2.2 Reduction in Satellite Penetration

4.2.3 Faster Reduction in Pricing

4.2.4 Bigger Role for China?

4.2 Forecast by End-User Type

4.3 Forecast by Type of QKD Infrastructure: Terrestrial or Satellite

4.4 Forecast of Key QKD-related Equipment and Components

4.5 Forecast by Geography/Location of End Users

Chapter Five: Profiles of QKD Companies

5.1 Approach to Profiling

5.2 ABB (Switzerland/Sweden)

5.3 Cambridge Quantum Computing (United Kingdom)

5.4 ID Quantique (Switzerland)

5.5 KETS Quantum Security (United Kingdom)

5.6 MagiQ Technologies (United States)

5.7 Nokia (Finland)

5.8 QuantumCtek (China)

5.9 Quantum Xchange (United States)

5.10 Qubitekk (United States)

5.11 QuintessenceLabs (Australia)

5.12 SK Telecom (Korea)

5.13 Toshiba (Japan)

For more information about this report visit https://www.researchandmarkets.com/r/jp7dzd

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ResearchAndMarkets.com is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.

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Machine Learning in Medical Imaging Market Size, Global Future Trend, Segmentation, Business Growth, Top Key Players, Opportunities and Forecast to…

Posted on August 10, 2020 by admin

New Jersey, United States,-

Worldwide Machine Learning in Medical Imaging Market presents encounters on the current and future industry designs, enabling the perusers to perceive the things and organizations, subsequently driving the pay improvement and productivity. The investigation report gives a bare essential examination of all the principle contemplations influencing the market on a worldwide and commonplace scale, including drivers, confinements, threats, challenges, openings, and industry-unequivocal examples. Further, the report alludes to overall confirmations and supports nearby downstream and upstream assessment of driving players.

The report includes the latest coverage of the impact of COVID-19 on the Machine Learning in Medical Imaging industry. The incidence has affected nearly every aspect of the business domain. This study evaluates the current scenario and predicts future outcomes of the pandemic on the global economy.

Key highlights from COVID-19 impact analysis:

Unveiling a brief about the Machine Learning in Medical Imaging market competitive scope:

The report includes pivotal details about the manufactured products, and in-depth company profile, remuneration, and other production patterns.

The research study encompasses information pertaining to the market share that every company holds, in tandem with the price pattern graph and the gross margins.

Machine Learning in Medical Imaging Market, By Type

Machine Learning in Medical Imaging Market, By Application

Other important inclusions in the Machine Learning in Medical Imaging market report:

A brief overview of the regional landscape:

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Market Research Intellect provides syndicated and customized research reports to clients from various industries and organizations with the aim of delivering functional expertise. We provide reports for all industries including Energy, Technology, Manufacturing and Construction, Chemicals and Materials, Food and Beverage, and more. These reports deliver an in-depth study of the market with industry analysis, the market value for regions and countries, and trends that are pertinent to the industry.

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Artificial Intelligence and Machine Learning Market Size, Share, 2019 with Detailed Analysis of Services, Consumption, Software Technology, Trends,…

Posted on August 10, 2020 by admin

A detailed research on Artificial Intelligence and Machine Learning market recently added by Hongchun Research, puts together a concise analysis of the growth factors impacting the current business scenario across assorted regions. Significant information pertaining to the industry size, share, application, and statistics are also summed in the report in order to present an ensemble prediction. In addition, this report undertakes an accurate competitive analysis illustrating the status of market majors in the projection timeline, while including their expansion strategies and portfolio.

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The global Artificial Intelligence and Machine Learning market focuses on encompassing major statistical evidence for the Artificial Intelligence and Machine Learning industry as it offers our readers a value addition on guiding them in encountering the obstacles surrounding the market. A comprehensive addition of several factors such as global distribution, manufacturers, market size, and market factors that affect the global contributions are reported in the study. In addition the Artificial Intelligence and Machine Learning study also shifts its attention with an in-depth competitive landscape, defined growth opportunities, market share coupled with product type and applications, key companies responsible for the production, and utilized strategies are also marked.

This intelligence and 2026 forecasts Artificial Intelligence and Machine Learning industry report further exhibits a pattern of analyzing previous data sources gathered from reliable sources and sets a precedented growth trajectory for the Artificial Intelligence and Machine Learning market. The report also focuses on a comprehensive market revenue streams along with growth patterns, analytics focused on market trends, and the overall volume of the market.

The study covers the following key players:BigML, Inc.SAP SEGoogle, Inc.Hewlett Packard Enterprise Development LP (HPE)Microsoft CorporationIntel CorporationIBM CorporationSAS Institute Inc.Baidu, Inc.Fair Isaac CorporationAmazon Web Services Inc.

Moreover, the Artificial Intelligence and Machine Learning report describes the market division based on various parameters and attributes that are based on geographical distribution, product types, applications, etc. The market segmentation clarifies further regional distribution for the Artificial Intelligence and Machine Learning market, business trends, potential revenue sources, and upcoming market opportunities.

Market segment by type, the Artificial Intelligence and Machine Learning market can be split into,HardwareSoftwareServices

Market segment by applications, the Artificial Intelligence and Machine Learning market can be split into,BFSIHealthcare and Life SciencesRetailTelecommunicationGovernment and DefenseManufacturingEnergy and UtilitiesOthers

The Artificial Intelligence and Machine Learning market study further highlights the segmentation of the Artificial Intelligence and Machine Learning industry on a global distribution. The report focuses on regions of North America, Europe, Asia, and the Rest of the World in terms of developing business trends, preferred market channels, investment feasibility, long term investments, and environmental analysis. The Artificial Intelligence and Machine Learning report also calls attention to investigate product capacity, product price, profit streams, supply to demand ratio, production and market growth rate, and a projected growth forecast.

In addition, the Artificial Intelligence and Machine Learning market study also covers several factors such as market status, key market trends, growth forecast, and growth opportunities. Furthermore, we analyze the challenges faced by the Artificial Intelligence and Machine Learning market in terms of global and regional basis. The study also encompasses a number of opportunities and emerging trends which are considered by considering their impact on the global scale in acquiring a majority of the market share.

The study encompasses a variety of analytical resources such as SWOT analysis and Porters Five Forces analysis coupled with primary and secondary research methodologies. It covers all the bases surrounding the Artificial Intelligence and Machine Learning industry as it explores the competitive nature of the market complete with a regional analysis.

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Some Point of Table of Content:

Chapter One: Artificial Intelligence and Machine Learning Market Overview

Chapter Two: Global Artificial Intelligence and Machine Learning Market Landscape by Player

Chapter Three: Players Profiles

Chapter Four: Global Artificial Intelligence and Machine Learning Production, Revenue (Value), Price Trend by Type

Chapter Five: Global Artificial Intelligence and Machine Learning Market Analysis by Application

Chapter Six: Global Artificial Intelligence and Machine Learning Production, Consumption, Export, Import by Region (2014-2019)

Chapter Seven: Global Artificial Intelligence and Machine Learning Production, Revenue (Value) by Region (2014-2019)

Chapter Eight: Artificial Intelligence and Machine Learning Manufacturing Analysis

Chapter Nine: Industrial Chain, Sourcing Strategy and Downstream Buyers

Chapter Ten: Market Dynamics

Chapter Eleven: Global Artificial Intelligence and Machine Learning Market Forecast (2019-2026)

Chapter Twelve: Research Findings and Conclusion

Chapter Thirteen: Appendix continued

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List of tablesList of Tables and FiguresFigure Artificial Intelligence and Machine Learning Product PictureTable Global Artificial Intelligence and Machine Learning Production and CAGR (%) Comparison by TypeTable Profile of HardwareTable Profile of SoftwareTable Profile of ServicesTable Artificial Intelligence and Machine Learning Consumption (Sales) Comparison by Application (2014-2026)Table Profile of BFSITable Profile of Healthcare and Life SciencesTable Profile of RetailTable Profile of TelecommunicationTable Profile of Government and DefenseTable Profile of ManufacturingTable Profile of Energy and UtilitiesTable Profile of OthersFigure Global Artificial Intelligence and Machine Learning Market Size (Value) and CAGR (%) (2014-2026)Figure United States Artificial Intelligence and Machine Learning Revenue and Growth Rate (2014-2026)Figure Europe Artificial Intelligence and Machine Learning Revenue and Growth Rate (2014-2026)Figure Germany Artificial Intelligence and Machine Learning Revenue and Growth Rate (2014-2026)Figure UK Artificial Intelligence and Machine Learning Revenue and Growth Rate (2014-2026)Figure France Artificial Intelligence and Machine Learning Revenue and Growth Rate (2014-2026)Figure Italy Artificial Intelligence and Machine Learning Revenue and Growth Rate (2014-2026)Figure Spain Artificial Intelligence and Machine Learning Revenue and Growth Rate (2014-2026)Figure Russia Artificial Intelligence and Machine Learning Revenue and Growth Rate (2014-2026)Figure Poland Artificial Intelligence and Machine Learning Revenue and Growth Rate (2014-2026)Figure China Artificial Intelligence and Machine Learning Revenue and Growth Rate (2014-2026)Figure Japan Artificial Intelligence and Machine Learning Revenue and Growth Rate (2014-2026)Figure India Artificial Intelligence and Machine Learning Revenue and Growth Rate (2014-2026)Figure Southeast Asia Artificial Intelligence and Machine Learning Revenue and Growth Rate (2014-2026)Figure Malaysia Artificial Intelligence and Machine Learning Revenue and Growth Rate (2014-2026)Figure Singapore Artificial Intelligence and Machine Learning Revenue and Growth Rate (2014-2026)Figure Philippines Artificial Intelligence and Machine Learning Revenue and Growth Rate (2014-2026)Figure Indonesia Artificial Intelligence and Machine Learning Revenue and Growth Rate (2014-2026)Figure Thailand Artificial Intelligence and Machine Learning Revenue and Growth Rate (2014-2026)Figure Vietnam Artificial Intelligence and Machine Learning Revenue and Growth Rate (2014-2026)Figure Central and South America Artificial Intelligence and Machine Learning Revenue and Growth Rate (2014-2026)Figure Brazil Artificial Intelligence and Machine Learning Revenue and Growth Rate (2014-2026)Figure Mexico Artificial Intelligence and Machine Learning Revenue and Growth Rate (2014-2026)Figure Colombia Artificial Intelligence and Machine Learning Revenue and Growth Rate (2014-2026)Figure Middle East and Africa Artificial Intelligence and Machine Learning Revenue and Growth Rate (2014-2026)Figure Saudi Arabia Artificial Intelligence and Machine Learning Revenue and Growth Rate (2014-2026)Figure United Arab Emirates Artificial Intelligence and Machine Learning Revenue and Growth Rate (2014-2026)Figure Turkey Artificial Intelligence and Machine Learning Revenue and Growth Rate (2014-2026)Figure Egypt Artificial Intelligence and Machine Learning Revenue and Growth Rate (2014-2026)Figure South Africa Artificial Intelligence and Machine Learning Revenue and Growth Rate (2014-2026)Figure Nigeria Artificial Intelligence and Machine Learning Revenue and Growth Rate (2014-2026)Figure Global Artificial Intelligence and Machine Learning Production Status and Outlook (2014-2026)Table Global Artificial Intelligence and Machine Learning Production by Player (2014-2019)Table Global Artificial Intelligence and Machine Learning Production Share by Player (2014-2019)Figure Global Artificial Intelligence and Machine Learning Production Share by Player in 2018Table Artificial Intelligence and Machine Learning Revenue by Player (2014-2019)Table Artificial Intelligence and Machine Learning Revenue Market Share by Player (2014-2019)Table Artificial Intelligence and Machine Learning Price by Player (2014-2019)Table Artificial Intelligence and Machine Learning Manufacturing Base Distribution and Sales Area by PlayerTable Artificial Intelligence and Machine Learning Product Type by PlayerTable Mergers & Acquisitions, Expansion PlansTable BigML, Inc. ProfileTable BigML, Inc. Artificial Intelligence and Machine Learning Production, Revenue, Price and Gross Margin (2014-2019)Table SAP SE ProfileTable SAP SE Artificial Intelligence and Machine Learning Production, Revenue, Price and Gross Margin (2014-2019)Table Google, Inc. ProfileTable Google, Inc. Artificial Intelligence and Machine Learning Production, Revenue, Price and Gross Margin (2014-2019)Table Hewlett Packard Enterprise Development LP (HPE) ProfileTable Hewlett Packard Enterprise Development LP (HPE) Artificial Intelligence and Machine Learning Production, Revenue, Price and Gross Margin (2014-2019)Table Microsoft Corporation ProfileTable Microsoft Corporation Artificial Intelligence and Machine Learning Production, Revenue, Price and Gross Margin (2014-2019)Table Intel Corporation ProfileTable Intel Corporation Artificial Intelligence and Machine Learning Production, Revenue, Price and Gross Margin (2014-2019)Table IBM Corporation ProfileTable IBM Corporation Artificial Intelligence and Machine Learning Production, Revenue, Price and Gross Margin (2014-2019)Table SAS Institute Inc. ProfileTable SAS Institute Inc. Artificial Intelligence and Machine Learning Production, Revenue, Price and Gross Margin (2014-2019)Table Baidu, Inc. ProfileTable Baidu, Inc. Artificial Intelligence and Machine Learning Production, Revenue, Price and Gross Margin (2014-2019)Table Fair Isaac Corporation ProfileTable Fair Isaac Corporation Artificial Intelligence and Machine Learning Production, Revenue, Price and Gross Margin (2014-2019)Table Amazon Web Services Inc. ProfileTable Amazon Web Services Inc. Artificial Intelligence and Machine Learning Production, Revenue, Price and Gross Margin (2014-2019)Table Global Artificial Intelligence and Machine Learning Production by Type (2014-2019)Table Global Artificial Intelligence and Machine Learning Production Market Share by Type (2014-2019)Figure Global Artificial Intelligence and Machine Learning Production Market Share by Type in 2018Table Global Artificial Intelligence and Machine Learning Revenue by Type (2014-2019)Table Global Artificial Intelligence and Machine Learning Revenue Market Share by Type (2014-2019)Figure Global Artificial Intelligence and Machine Learning Revenue Market Share by Type in 2018Table Artificial Intelligence and Machine Learning Price by Type (2014-2019)Figure Global Artificial Intelligence and Machine Learning Production Growth Rate of Hardware (2014-2019)Figure Global Artificial Intelligence and Machine Learning Production Growth Rate of Software (2014-2019)Figure Global Artificial Intelligence and Machine Learning Production Growth Rate of Services (2014-2019)Table Global Artificial Intelligence and Machine Learning Consumption by Application (2014-2019)Table Global Artificial Intelligence and Machine Learning Consumption Market Share by Application (2014-2019)Table Global Artificial Intelligence and Machine Learning Consumption of BFSI (2014-2019)Table Global Artificial Intelligence and Machine Learning Consumption of Healthcare and Life Sciences (2014-2019)Table Global Artificial Intelligence and Machine Learning Consumption of Retail (2014-2019)Table Global Artificial Intelligence and Machine Learning Consumption of Telecommunication (2014-2019)Table Global Artificial Intelligence and Machine Learning Consumption of Government and Defense (2014-2019)Table Global Artificial Intelligence and Machine Learning Consumption of Manufacturing (2014-2019)Table Global Artificial Intelligence and Machine Learning Consumption of Energy and Utilities (2014-2019)Table Global Artificial Intelligence and Machine Learning Consumption of Others (2014-2019)Table Global Artificial Intelligence and Machine Learning Consumption by Region (2014-2019)Table Global Artificial Intelligence and Machine Learning Consumption Market Share by Region (2014-2019)Table United States Artificial Intelligence and Machine Learning Production, Consumption, Export, Import (2014-2019)Table Europe Artificial Intelligence and Machine Learning Production, Consumption, Export, Import (2014-2019)Table China Artificial Intelligence and Machine Learning Production, Consumption, Export, Import (2014-2019)Table Japan Artificial Intelligence and Machine Learning Production, Consumption, Export, Import (2014-2019)Table India Artificial Intelligence and Machine Learning Production, Consumption, Export, Import (2014-2019)Table Southeast Asia Artificial Intelligence and Machine Learning Production, Consumption, Export, Import (2014-2019)Table Central and South America Artificial Intelligence and Machine Learning Production, Consumption, Export, Import (2014-2019) continued

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