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Iktos Announces a Collaboration With Ono in Artificial Intelligence for New Drug Design – WV News

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IrelandUruguay, Eastern Republic ofUzbekistanVanuatuVenezuela, Bolivarian Republic ofViet Nam, Socialist Republic ofWallis and Futuna IslandsWestern SaharaYemenZambia, Republic ofZimbabwe

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Global Personal Artificial Intelligence and Robotics Markets, 2022-2027: Leading Solutions for Personalized AI and Robotics are Safety, Information,…

Dublin, March 28, 2022 (GLOBE NEWSWIRE) -- The "Personal Artificial Intelligence and Robotics Market by AI and Robot Type, Components, Devices and Solutions 2022 - 2027" report has been added to ResearchAndMarkets.com's offering.

This report evaluates the market for personalized robots, bot software, and systems. The report also assesses the impact of AI and evaluates the market for AI-enhanced robots and robotic systems for the consumer market. It includes analysis and forecasts for personalized AI and robotics from 2022 through 2027.

There is an emerging service robot market that has very different dynamics than traditional industrial robotics. Service robots are very personal and include both physical robots as well as logical (e.g. software) bots that act on behalf of their owners, managers, and/or controllers. Service robots will ultimately evolve beyond purpose-built machines to become more general-purpose tools for supporting human safety and lifestyle needs.

While Asia is the predominant market today, we see the United States as a high growth market as the USA has grossly underinvested in the personal healthcare infrastructure market. Largely depending upon informal family support, personalized care represents an industry that is sustained by poorly paid workers - largely immigrants and women of color. This is poised to change with carebots, programmed to oversee the care for the elderly and/or those with healthcare issues that require constant attention.

We see substantial overall industry growth across a wide range of robot types that engage in diverse tasks such as home cleaning, personalized healthcare service, home security, autonomous cars, robotic entertainment and toys, carebots services, managing daily schedules, and many more assistive tasks. Furthermore, we see a few key factors such as the aging population, personalization services trends, and robot mobility will drive growth in this industry segment.

In addition, developments in artificial intelligence and cognitive computing support the inclusion of these technologies with virtually every type of robot including general-purpose bots that act on behalf of their owner. The combination of AI and IoT (AIoT) will further support market development, leading to semi-autonomous markets that interact with humans directly as well as other machines, and assets through interconnected systems.

Select Report Findings:

Key Topics Covered:

1 Executive Summary

2 Introduction2.1 Overall AI and Robotics Market2.2 Personal AI and Robotics Market2.3 Development of Autonomous Agents and Care Bots2.4 AI Technology and Deep Learning Hacks2.5 Contextual Awareness and Intelligent Decision Support Systems2.6 Aging Population, Mass Digitization, and Human-Robotics Interaction Accelerates Growth2.7 Evolution of Personal Assistants and Smart Advisory Services2.8 Price Declines Drive Adoption for Low-Cost Robotics2.9 Open Software Platforms Accelerate Growth but Raises Ethical Concerns2.10 Technical Complexity and Lack of Skilled Robot Designer May Hinder Growth

3 Cloud Robotics to Drive Democratization and Expanded Usage3.1 Enabling Technologies3.1.1 Fifth Generation Cellular3.1.2 Teleoperation3.1.3 Cloud Computing3.1.4 Edge Computing3.2 Market Opportunities

4 Personal AI and Robotics Market, Application, and Ecosystem Impact4.1 Market Segmentation and Application Scenario4.1.1 Personal Robots and Robotics Components4.1.2 Digital Personal Assistant Services4.1.3 AI-Based System and Analytics4.2 Economic Impact including Job Market4.3 Investment Trends in Robotics and AI Systems4.4 Robotics Patents a Key Area to Watch

5 Personal AI and Robotics Market Drivers and Challenges5.1 Personal AI and Robotics Market Dynamics5.2 Personal AI and Robotics Market Drivers5.3 Personal AI and Robotics Market Challenges

6 Personal AI and Robot Market Outlook and Forecasts 2022 - 20276.1 Aggregate Global Market Forecast 2022 - 20276.2 Personal Robot Market Forecast 2022 - 20276.3 Digital Personal Assistant Market Forecast 2022 - 20276.4 Personal AI-Based Solution Market Forecast 2022 - 2027

7 AI and Robotics Company Analysis7.1 Assessment of Select Market Leaders7.2 Honda Motor Co. Ltd.7.3 Samsung Electronics Co Ltd.7.4 iRobot Corporation7.5 Sony Corporation7.6 F&P Robotics AG7.7 ZMP INC.7.8 Segway Inc.7.9 Neato Robotics, Inc.7.10 Ecovacs Robotics, Inc.7.11 Hasbro, Inc.7.12 Parrot SA7.13 Geckosystems Intl. Corp.7.14 Hoaloha Robotics7.15 Lego Education7.16 Sharp Corporation7.17 Toyota Motor Corporation7.18 WowWee Group Limited7.19 Lely Group7.20 Intel Corporation7.21 AsusTek Computer Inc.7.22 Amazon.com, Inc7.23 RealDoll7.24 True Companion7.25 Robotbase7.26 Dongbu Group7.27 Softbank Robotics7.28 Buddy7.29 Jibo7.30 NTT DoCoMo7.31 Rokid7.32 MJI Robotics7.33 Cubic7.34 5 Elements Robotics7.35 Branto7.36 Aido7.37 Vinclu Gatebox7.38 Future Robot7.39 Apple Inc.7.40 Artificial Solutions7.41 Clara Labs7.42 Google7.43 Microsoft Corporation7.44 Speaktoit Inc.7.45 Facebook7.46 SK Telecom Co, Ltd.7.47 motion.ai7.48 Indigo7.49 24me7.50 Wunderlist7.51 Hound7.52 Mycroft7.53 Ubi7.54 EasilyDo7.55 Evi7.56 Operator7.57 Charlie7.58 Alfred7.59 x.ai7.60 AIVC7.61 EVA7.62 NVidia7.63 Tesla Motors7.64 Baidu7.65 SparkCognition

8 Personal AI and Robot Use Cases8.1 Cleaning Robots8.2 Entertainment Robots8.3 Home Security and Surveillance8.4 Wheel-powered Robot8.5 PARO, Advanced interactive Robot8.6 Vortex, a Programmable Robot8.7 ROBEAR, Nursing Care Robot8.8 AV1, A Small Telepresence Robot

9 Conclusions and Recommendations9.1 Recommendations to Robotics Makers9.2 Recommendations to Investors9.3 Recommendations for AI Companies9.4 Recommendations for Equipment Manufacturers9.5 Future of Personal AI

For more information about this report visit https://www.researchandmarkets.com/r/vplny7

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Artificial intelligence will add $10tn to global economy in next decade – IBM CEO – Gulf Business

Artificial intelligence (AI) will add up to $10tn to the global economy in the next decade, Arvind Krishna, chairman and CEO of IBM has said.

Greater adoption of AI in the UAE could also add up to $200bn in productivity gains by 2030, Krishna told Omar bin Sultan Al Olama, Minister of State for Artificial Intelligence, Digital Economy, and Teleworking Applications, at the World Government Summit 2022, official news agency WAM reported.

The leader of the US tech giant tipped AI to transform the world economy after warning that the planet lacks skilled people to keep up with the pandemic-induced disruption caused to workplaces everywhere.

I fundamentally believe that AI offers over $10tn of productivity to the world. If you think about GDP increase, this could be anywhere between 10, 20, or 30 per cent. But we have to do this carefully, we have to harness the skills and deploy it in the right manner, Krishna said, speaking during a one-on-one panel The Next Big Merger: Governments and Technology.

Omar bin Sultan said that the UAEs talent pool will be boosted by Indias decision to set up the first Indian Institute of Technology (IIT) in Abu Dhabi.

Last year, the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), a graduate-level research university focusing on artificial intelligence (AI), launched an executive programme, designed to assist the UAEs government and business elite in unlocking the potential of AI to ensure smart management, increased efficiencies, and enhanced productivity.

Read:Abu Dhabis AI university launches executive programme for UAE govt and business leaders

Located in Masdar City, MBZUAI offers Master of Science, Msc, and PhD level programmes in key areas of AI such as machine learning, computer vision, and natural language processing.

Read:Video: Abu Dhabi launches worlds first AI university

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Artificial intelligence will add $10tn to global economy in next decade - IBM CEO - Gulf Business

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Artificial Intelligence in the Education Sector Market Size 2022 : Share and Trend, Growth Strategies with Revenue, future Scope, Analytical Overview…

Artificial Intelligence in the Education Sector Market Research Report audits the development drivers and the momentum and future trends. The Artificial Intelligence in the Education Sector Market Size consists of various players. The organization profiling of the above Artificial Intelligence in the Education Sector Market players has been done in the report comprising of their business outline, financial overview and the business techniques took on by the organizations with Forecast Period 2022-2028.

Global Artificial Intelligence in the Education Sector Market Research Report 2022-2028 by Players, Regions, Product Types and Applications

The Global Artificial Intelligence in the Education Sector Market covers express data with respect to the development rate, market estimates, drivers, limitations, future based demand, and income during the forecast period. The Global Artificial Intelligence in the Education Sector Market Size consists of data accumulated from numerous primary and secondary sources. This data has been checked and approved by the business examiners, thus providing significant insights to the researchers, analysts, managers, and other industry professionals. This archive further aides in understanding business sector patterns, applications, determinations, and market challenges.

The world has entered the COVID-19 Global Regaining period. In this complex economic environment, we distributed the Global Artificial Intelligence in the Education Sector Market Growth, Status, Trends and COVID-19 Impact Report, which gives a short examination of the global Artificial Intelligence in the Education Sector market.

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

To Understand How Covid-19 Impact Is Covered in This Report Request a Sample Copy Of The Report

Who are some of the key players operating in the Artificial Intelligence in the Education Sector market and how high is the competition 2022?

Company Information: List by Country Top Manufacturers/ Key Players In Artificial Intelligence in the Education Sector Market Insights Report Are:

The ability of the computer program to imitate the human intelligence needed for the task is termed as artificial intelligence (AI). Integration of the artificial intelligence in education sector creates revolution through its result driven approach.According to our latest research, the global Artificial Intelligence in the Education Sector market size will reach USD million in 2028, growing at a CAGR of % over the analysis period.Global Artificial Intelligence in the Education Sector Scope and Market SizeThis report focuses on the global Artificial Intelligence in the Education Sector status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Artificial Intelligence in the Education Sector development in North America, Europe, China, Japan, Southeast Asia, India and Central and South America, etc.

Sample PDF of the report at https://www.marketgrowthreports.com/enquiry/request-sample/20190218

Global Artificial Intelligence in the Education Sector Market 2022 Research Report is spread across105 pagesand provides exclusive vital statistics, data, information, trends and competitive landscape details in this niche sector.

Type Coverage (Market Size and Forecast, Major Company of Product Type etc.)

Application Coverage (Market Size and Forecast, Different Demand Market by Region, Main Consumer Profile):

The report covers the key players of the business including Company Profile, Product Specifications, Production Capacity/Sales, Revenue, Price and Gross Margin Sales with an exhaustive investigation of the markets competitive landscape and definite data on vendors and thorough subtleties of elements that will challenge the development of significant market vendors.

Enquire before purchasing this reporthttps://www.marketgrowthreports.com/enquiry/pre-order-enquiry/20190218

Some of the key questions answered in this report:

Geographical Segmentation and Competition Analysis

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With tables and figureshelping analyze worldwide Global Artificial Intelligence in the Education Sector Market Forecast provides key statistics on the state of the industry and is a valuable source of guidance and direction for companies and individuals interested in the market

Major Highlights of TOC:

Major Points from Table of Contents:

Global Artificial Intelligence in the Education Sector Market Research Report 2022-2028, by Manufacturers, Regions, Types and Applications

1 Study Coverage

1.1 Artificial Intelligence in the Education Sector Product Introduction

1.2 Market by Type

1.2.1 Global Artificial Intelligence in the Education Sector Market Size Growth Rate by Type

1.3 Market by Application

1.3.1 Global Artificial Intelligence in the Education Sector Market Size Growth Rate by Application

1.4 Study Objectives

1.5 Years Considered

2 Global Artificial Intelligence in the Education Sector Production

2.1 Global Artificial Intelligence in the Education Sector Production Capacity (2016-2028)

2.2 Global Artificial Intelligence in the Education Sector Production by Region: 2016 VS 2022 VS 2028

2.3 Global Artificial Intelligence in the Education Sector Production by Region

2.3.1 Global Artificial Intelligence in the Education Sector Historic Production by Region (2016-2022)

2.3.2 Global Artificial Intelligence in the Education Sector Forecasted Production by Region (2022-2028)

3 Global Artificial Intelligence in the Education Sector Sales in Volume and Value Estimates and Forecasts

3.1 Global Artificial Intelligence in the Education Sector Sales Estimates and Forecasts 2016-2028

3.2 Global Artificial Intelligence in the Education Sector Revenue Estimates and Forecasts 2016-2028

3.3 Global Artificial Intelligence in the Education Sector Revenue by Region: 2016 VS 2022 VS 2028

3.4 Global Top Artificial Intelligence in the Education Sector Regions by Sales

3.4.1 Global Top Artificial Intelligence in the Education Sector Regions by Sales (2016-2022)

3.4.2 Global Top Artificial Intelligence in the Education Sector Regions by Sales (2022-2028)

3.5 Global Top Artificial Intelligence in the Education Sector Regions by Revenue

3.5.1 Global Top Artificial Intelligence in the Education Sector Regions by Revenue (2016-2022)

3.5.2 Global Top Artificial Intelligence in the Education Sector Regions by Revenue (2022-2028)

3.6 North America

3.7 Europe

3.8 Asia-Pacific

3.9 Latin America

3.10 Middle East and Africa

4 Competition by Manufactures

4.1 Global Artificial Intelligence in the Education Sector Supply by Manufacturers

4.1.1 Global Top Artificial Intelligence in the Education Sector Manufacturers by Production Capacity (2022 VS 2022)

4.1.2 Global Top Artificial Intelligence in the Education Sector Manufacturers by Production (2016-2022)

4.2 Global Artificial Intelligence in the Education Sector Sales by Manufacturers

4.2.1 Global Top Artificial Intelligence in the Education Sector Manufacturers by Sales (2016-2022)

4.2.2 Global Top Artificial Intelligence in the Education Sector Manufacturers Market Share by Sales (2016-2022)

4.2.3 Global Top 10 and Top 5 Companies by Artificial Intelligence in the Education Sector Sales in 2022

4.3 Global Artificial Intelligence in the Education Sector Revenue by Manufacturers

4.3.1 Global Top Artificial Intelligence in the Education Sector Manufacturers by Revenue (2016-2022)

4.3.2 Global Top Artificial Intelligence in the Education Sector Manufacturers Market Share by Revenue (2016-2022)

4.3.3 Global Top 10 and Top 5 Companies by Artificial Intelligence in the Education Sector Revenue in 2022

4.4 Global Artificial Intelligence in the Education Sector Sales Price by Manufacturers

4.5 Analysis of Competitive Landscape

4.5.1 Manufacturers Market Concentration Ratio (CR5 and HHI)

4.5.2 Global Artificial Intelligence in the Education Sector Market Share by Company Type (Tier 1, Tier 2, and Tier 3)

4.5.3 Global Artificial Intelligence in the Education Sector Manufacturers Geographical Distribution

4.6 Mergers and Acquisitions, Expansion Plans

5 Market Size by Type

5.1 Global Artificial Intelligence in the Education Sector Sales by Type

5.1.1 Global Artificial Intelligence in the Education Sector Historical Sales by Type (2016-2022)

5.1.2 Global Artificial Intelligence in the Education Sector Forecasted Sales by Type (2022-2028)

5.1.3 Global Artificial Intelligence in the Education Sector Sales Market Share by Type (2016-2028)

5.2 Global Artificial Intelligence in the Education Sector Revenue by Type

5.2.1 Global Artificial Intelligence in the Education Sector Historical Revenue by Type (2016-2022)

5.2.2 Global Artificial Intelligence in the Education Sector Forecasted Revenue by Type (2022-2028)

5.2.3 Global Artificial Intelligence in the Education Sector Revenue Market Share by Type (2016-2028)

5.3 Global Artificial Intelligence in the Education Sector Price by Type

5.3.1 Global Artificial Intelligence in the Education Sector Price by Type (2016-2022)

5.3.2 Global Artificial Intelligence in the Education Sector Price Forecast by Type (2022-2028)

6 Market Size by Application

6.1 Global Artificial Intelligence in the Education Sector Sales by Application

6.1.1 Global Artificial Intelligence in the Education Sector Historical Sales by Application (2016-2022)

6.1.2 Global Artificial Intelligence in the Education Sector Forecasted Sales by Application (2022-2028)

6.1.3 Global Artificial Intelligence in the Education Sector Sales Market Share by Application (2016-2028)

6.2 Global Artificial Intelligence in the Education Sector Revenue by Application

6.2.1 Global Artificial Intelligence in the Education Sector Historical Revenue by Application (2016-2022)

6.2.2 Global Artificial Intelligence in the Education Sector Forecasted Revenue by Application (2022-2028)

6.2.3 Global Artificial Intelligence in the Education Sector Revenue Market Share by Application (2016-2028)

6.3 Global Artificial Intelligence in the Education Sector Price by Application

6.3.1 Global Artificial Intelligence in the Education Sector Price by Application (2016-2022)

6.3.2 Global Artificial Intelligence in the Education Sector Price Forecast by Application (2022-2028)

7 Artificial Intelligence in the Education Sector Consumption by Regions

7.1 Global Artificial Intelligence in the Education Sector Consumption by Regions

7.1.1 Global Artificial Intelligence in the Education Sector Consumption by Regions

7.1.2 Global Artificial Intelligence in the Education Sector Consumption Market Share by Regions

7.2 North America

7.2.1 North America Artificial Intelligence in the Education Sector Consumption by Application

7.2.2 North America Artificial Intelligence in the Education Sector Consumption by Countries

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Zoomd Announces the Acquisition of Artificial Intelligence Marketing Platform "Albert" – PR Newswire

VANCOUVER, BC, March 28, 2022 /PRNewswire/ -- Zoomd Technologies Ltd.(TSXV: ZOMD) (OTC: ZMDTF) and its wholly-owned subsidiary Zoomd Ltd. (collectively, "Zoomd" or the "Company"), the marketing tech (MarTech) user-acquisition and engagement platform, today announced its acquisition (the "Transaction") of Albert Technologies Ltd. ("Albert") on March 27, 2022. Albert is a U.S.-based artificial intelligence marketing platform for advertisers, driving fully autonomous digital campaigns for some of the world's leading brands. The consideration for the Transaction payable by Zoomd is a combination of cash and shares paid on March 27, 2022, being the closing date, and a future share-based earn-out payment, based on meeting certain criteria.

Albert processes and analyzes audience and tactical data at scale, thereby autonomously allocating budgets and optimizing creative and evolving campaigns across paid search and social media. Albert's value proposition to its clients is to ease the complexities of scaling, primarily using the Google and Facebook platforms, by executing campaigns at a pace and scale that were generally not previously possible. By autonomously combing through mass amounts of data, converting this data into insights, and autonomously acting on these insights, across channels, devices, and formats, Albert eliminates the manual and time-consuming tasks that generally limit the effectiveness and results of modern digital advertising and marketing.

"While we are also releasing some of our products onto a Self-Service and SaaS business model, Albert enhances our efforts immediately, with additional solid offerings that cover branding and awareness needs. Furthermore, we view Albert as complementary for mobile apps, particularly with regards to our future plans relating to Web3." said Ofer Eitan, Zoomd CEO, adding "we view M&A activity, which includes industry professionals, supplementary technology and solid customer base, as a part of Zoomd's growth objective. This acquisition shows our ambition to provide our partners a SaaS platform for scaling with minor efforts. Albert's team is a group of extremely talented veterans that fit Zoomd's culture. They have a number of Fortune 500 customers that will now be able to use our products and services. We are happy and excited to have the team come on board."

Or Shani, Founder and CEO of Albert commented: "We are excited to join Zoomd, a fast growing company in the marketing technology space. We believe that our business, based on our unique, patented and proven technology, will further accelerate given the great scale and financial strength of Zoomd."

For the purposes of the Transaction, the share component of the consideration will be valued at the higher of (i) the closing price of the shares on the date prior to their issuance and (ii) US$1.00 per share. Zoomd did not assume any of Albert's debt and no finder's fees were paid or are payable in connection with the Transaction. All shares to be issued pursuant to the Transaction are subject to the prior approval of the TSX-V.

About Zoomd:

Zoomd (TSXV: ZOMD, OTC: ZMDTF), founded in 2012 and began trading on the TSX Venture Exchange inSeptember 2019, offers a site search engine to publishers, and a mobile app user-acquisition platform, integrated with a majorityof global digital media, to advertisers. The platform unifies more than 600 media sources into one unified dashboard. Offering advertisers, a user acquisition control center for managing all new customer acquisition campaigns using a single platform. By unifying all these media sources onto a single platform, Zoomd saves advertisers significant resources that would otherwise be spent consolidating data sources, thereby maximizing data collection and data insights while minimizing the resources spent on the exercise. Further, Zoomd is a performance-based platform that allows advertisers to advertise to the relevant target audiences using a key performance indicator-algorithm that is focused on achieving the advertisers' goals and targets.

Neither TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in the policies of the Exchange) accepts responsibility for the adequacy or accuracy of this release.

DISCLAIMER IN REGARD TO FORWARD-LOOKING STATEMENTS

This news release includes certain "forward-looking statements" under applicable Canadian securities legislation. Forward-looking statements include, but are not limited to, statements with respect the successful closing of the Transaction and the future success of Albert, Zoomd's future ability to successfully continue its growth, its ability to continue to deliver products and services largely unimpacted by the privacy updates undertaken (or will be undertaken in the future) by Google and Apple as well as its ability to continue expanding into new geographies and industries. Forward-looking statements are based on our current assumptions, estimates, expectations and projections that, while considered reasonable, are subject to known and unknown risks, uncertainties, and other factors that may cause the actual results and future events to differ materially from those expressed or implied by such forward-looking statements. Such factors include, but are not limited to: general business, economic, competitive, technological, legal, privacy matters, political and social uncertainties (including the impacts of the COVID-19 pandemic and the current war in Ukraine), the extent and duration of which are uncertain at this time on Zoomd's business and general economic and business conditions and markets. There can be no assurance that any of the forward-looking statements will prove to be accurate, as actual results and future events could differ materially from those anticipated in such statements. Accordingly, readers should not place undue reliance on forward-looking statements. The Company disclaims any intention or obligation to update or revise any forward-looking statements, whether because of new information, future events or otherwise, except as required by law.

The reader should not place undue importance on forward-looking information and should not rely upon this information as of any other date. All forward-looking information contained in this press release is expressly qualified in its entirety by this cautionary statement.

FOR FURTHER INFORMATION PLEASE CONTACT:

Company Media Contacts:Amit BohenskyChairmanZoomd[emailprotected]

Website: http://www.zoomd.com

Investor relations:Lytham Partners, LLCBen ShamsianNew York | Phoenix[emailprotected]

SOURCE Zoomd Technologies Ltd.

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West Ham United Announces Fetch.ai as their Official Artificial Intelligence Partner – NewsBTC

Fetch.ai is West Ham Uniteds exclusive official artificial intelligence partner and the premier leagues giant non-exclusive Official Global Partner. Under the deal, Fetch.ai has also been designated as West Ham United Womens football clubs non-exclusive official partner. Through this partnership, Fetch.ai and West Ham United will leverage and promote the impact of artificial intelligence in enhancing businesses and daily lives.

Subsequently, West Ham United will promote the Fetch.ai brand and its products in their mega London Stadium on their LED perimeter advertising boards and displays, marketing Fetch.ais smart parking concept, upcoming social media platform, and future smart solutions.

West Ham Uniteds London Stadium at the Queen Elizabeth Olympic Park has a capacity of 67,000 fans. It is larger than Tottenham Hotspurs 1 billion stadium. In London, the West Ham Uniteds mega stadium is only second after Wembley and Twickenham stadiums.

Nathan Thompson, the Commercial Director of West Ham United, said he was delighted with the partnership.

We are delighted to announce our first Official Artificial Intelligence Partner and welcome Fetch.ai to the Club at an exciting time for the business, and the industry. Were looking forward to working with Fetch.ai on their smart parking concept, social media platform, and upcoming projects that will provide smart solutions for fans.

The developers of Fetch.ai are firm believers that smart contracts can, as their name implies, be smart. Fetch.ai integrates artificial intelligence and machine learning for the building and deployment of smart code to deliver enhanced service delivery for users, businesses, and organizations.

Through their secure and decentralized blockchain, Fetch.ai can securely launch their Autonomous Economic Agents (AEA)representing connected devices, users, or organizationsand act on their behalf on the Fetch.ai network. These agents depend on artificial intelligence and are created as digital citizens.

They are tasked with securely and instantaneously connecting to vast data sources and hardware environments, effectively eliminating the need for aggregators. Therefore, by using artificial intelligence solutions in creative ways, the founder of Fetch.ai, Humayun Sheikh, believes it will power the future of world-class Premier League football for fans in the U.K. and worldwide.

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Nearly $6M will help UArizona grow national cybersecurity workforce – University of Arizona News

By Kyle Mittan, University Communications

Today

Daily life is happening increasingly online, and there aren't enough cybersecurity professionals in the U.S. to keep everyone safe online.

That's the basic problem that nearly $6 million in new funding will help the University of Arizona's nationally renowned cyber operations program to address in the coming years.

The UArizona College of Applied Science and Technology, where the program is based, received the funding in the fall from Arizona's Technology and Research Initiative Fund. The voter-supported fund helps the state's three public universities address issues critical to the state or larger society, including workforce development.

In a world held together by information delivered over the internet, cyber operations or cybersecurity professionals are charged with protecting their employers' online networks, said Jason Denno, director of cyber, intelligence and information operations at the College of Applied Science and Technology.

Students in the college's cyber operations program learn to do that from both an offensive and defensive position. In addition to learning how to defend against cybersecurity adversaries known as "bad actors," Denno said, students also learn to act like the bad actors to better understand and defend against attacks.

But the outlook for the nation's cybersecurity workforce shows a significant gap between how many jobs need filled and the number of people qualified for them, Denno said. From 2019 to 2020, the number of unfilled cybersecurity jobs increased from more than 350,000 to more than 521,000, Denno said. Current estimates place the gap at more than 600,000 unfilled jobs.

To fix that, the college aims to drastically increase the number of students its cyber operations program can accommodate.

"We're trying to make a fundamental impact on the security posture of the U.S. that's what our graduates are going to do," Denno said.

The cyber operations program, which features both online components and in-person opportunities at the college's campus in Sierra Vista, began in 2016 with three students, Denno said. At the beginning of this semester, the program had about 900 students. About 250 students have graduated from the program since 2016.

The new funding, Denno said, will allow the program to hire more faculty and staff, with the goal of boosting its enrollment to 2,000 students by the end of 2025, and to 5,000 students by the end of 2030. It will also provide for IT infrastructure upgrades, Denno said.

"The COVID-19 pandemic has only underscored our reliance on the internet, and therefore our reliance on cyber operations professionals," said University of Arizona President Robert C. Robbins. "I am proud that our nationally recognized cyber operations program is equipped to help solve the shortage of these professionals, and I am thankful the state is partnering with us in that effort through this funding."

'Reverse-engineered' to be among the best

With the new funding, the college hopes to build on the successes its cyber operations program has already seen in the short time since it began. In 2018, less than two years after the program launched, it was designated a Center of Academic Excellence in Cyber Operations by the National Security Agency. Only 24 institutions nationwide have that designation.

The reasons for that recognition go back to the founding of the program, Denno said.

"We reverse-engineered the cyber degree from the NSA's most technical standards," he said. "We created this program from the ground up to be the most technical set of knowledge, skills and abilities for our students."

To that end, the college has built a suite of tools and programs that deliver real-world lessons to cyber operations students.

Those programs include CyberApolis, a virtual online world with more than 15,000 online personas that use artificial intelligence to write emails, post to social media, browse the web, buy goods in online stores and more. CyberApolis replicates the real internet, providing students with a lifelike cyber operations training environment and a safe place to run offensive cyber operations drills. Doing so on the open internet, Denno said, could amount to a federal crime.

"We needed this synthetic, live environment that mimicked the internet, that felt completely real as a student and that was a safe environment where they couldn't do anything wrong that they would get in trouble for," Denno said, adding that CyberApolis will undergo upgrades as a result of the new funding.

Denno also pointed to the college's partnership with the city of Sierra Vista, which allows cyber operations students to behave like nefarious hackers and "attack" the city's networks to determine vulnerabilities. The students then compile a report to show where the city can improve its cyber defenses.

"The security awareness of the city has risen dramatically," Denno said.

University Information Technology Services at UArizona has also taken on cyber operations students as interns, so they can get hands-on experience helping to defend the university's networks.

"Our students' hands-on experience is embedded in our AI-driven virtual environment, from their first class through their required capstone project," said Gary Packard, dean of the College of Applied Science and Technology. "This ensures we meet the NSA's highest technical standards to develop graduates with real-world cyber security capability on day one for the government and corporate cybersecurity workforce."

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Security experts fear the DMA will break WhatsApp encryption – The Verge

On March 24th, EU governing bodies announced that they had reached a deal on the most sweeping legislation to target Big Tech in Europe, known as the Digital Markets Act (DMA). Seen as an ambitious law with far-reaching implications, the most eye-catching measure in the bill would require that every large tech company defined as having a market capitalization of more than 75 billion and a user base of more than 45 million people in the EU create products that are interoperable with smaller platforms. For messaging apps, that would mean letting end-to-end encrypted services like WhatsApp mingle with less secure protocols like SMS which security experts worry will undermine hard-won gains in the field of message encryption.

The main focus of the DMA is a class of large tech companies termed gatekeepers, defined by the size of their audience or revenue and, by extension, the structural power they are able to wield against smaller competitors. Through the new regulations, the government is hoping to break open some of the services provided by such companies to allow smaller businesses to compete. That could mean letting users install third-party apps outside of the App Store, letting outside sellers rank higher in Amazon searches, or requiring messaging apps to send texts across multiple protocols.

But this could pose a real problem for services promising end-to-end encryption: the consensus among cryptographers is that it will be difficult, if not impossible, to maintain encryption between apps, with potentially enormous implications for users. Signal is small enough that it wouldnt be affected by the DMA provisions, but WhatsApp which uses the Signal protocol and is owned by Meta certainly would be. The result could be that some, if not all, of WhatsApps end-to-end messaging encryption is weakened or removed, robbing a billion users of the protections of private messaging.

Given the need for precise implementation of cryptographic standards, experts say that theres no simple fix that can reconcile security and interoperability for encrypted messaging services. Effectively, there would be no way to fuse together different forms of encryption across apps with different design features, said Steven Bellovin, an acclaimed internet security researcher and professor of computer science at Columbia University.

Trying to reconcile two different cryptographic architectures simply cant be done; one side or the other will have to make major changes, Bellovin said. A design that works only when both parties are online will look very different than one that works with stored messages .... How do you make those two systems interoperate?

Making different messaging services compatible can lead to a lowest common denominator approach to design, Bellovin says, in which the unique features that made certain apps valuable to users are stripped back until a shared level of compatibility is reached. For example, if one app supports encrypted multi-party communication and another does not, maintaining communications between them would usually require that the encryption be dropped.

Alternatively, the DMA suggests another approach equally unsatisfactory to privacy advocates in which messages sent between two platforms with incompatible encryption schemes are decrypted and re-encrypted when passed between them, breaking the chain of end-to-end encryption and creating a point of vulnerability for interception by a bad actor.

Alec Muffett, an internet security expert and former Facebook engineer who recently helped Twitter launch an encrypted Tor service, told The Verge that it would be a mistake to think that Apple, Google, Facebook, and other tech companies were making identical and interchangeable products that could easily be combined.

If you went into a McDonalds and said, In the interest of breaking corporate monopolies, I demand that you include a sushi platter from some other restaurant with my order, they would rightly just stare at you, Muffett said. What happens when the requested sushi arrives by courier at McDonalds from the ostensibly requested sushi restaurant? Can and should McDonalds serve that sushi to the customer? Was the courier legitimate? Was it prepared safely?

Currently, every messaging service takes responsibility for its own security and Muffett and others have argued that by demanding interoperability, users of one service are exposed to vulnerabilities that may have been introduced by another. In the end, overall security is only as strong as the weakest link.

Another point of concern raised by security experts is the problem of maintaining a coherent namespace, the set of identifiers that are used to designate different devices in any networked system. A basic principle of encryption is that messages are encoded in a way that is unique to a known cryptographic identity, so doing a good job of identity management is fundamental to maintaining security.

How do you tell your phone who you want to talk to, and how does the phone find that person? said Alex Stamos, director of the Stanford Internet Observatory and former chief security officer at Facebook. There is no way to allow for end-to-end encryption without trusting every provider to handle the identity management... If the goal is for all of the messaging systems to treat each others users exactly the same, then this is a privacy and security nightmare.

Not all security experts have responded so negatively to the DMA. Some of the objections shared previously by Muffett and Stamos have been addressed in a blog post from Matrix, a project geared around the development of an open-source, secure communications standard.

The post, written by Matrix co-founder Matthew Hodgson, acknowledges the challenges that come with mandated interoperability but argues that they are outweighed by benefits that will come from challenging the tech giants insistence on closed messaging ecosystems.

In the past, gatekeepers dismissed the effort of [interoperability] as not being worthwhile, Hodgson told The Verge. After all, the default course of action is to build a walled garden, and having built one, the temptation is to try to trap as many users as possible.

But with users generally happy to centralize trust and a social graph in one app, its unclear whether the top-down imposition of cross-platform messaging is mirrored by demand from below.

iMessage already has interop: its called SMS, and users really dislike it, said Alex Stamos. And it has really bad security properties that arent explained by green bubbles.

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For the Kremlin, the Internet is a Western Plot – Center for European Policy Analysis

In 2017, Russia vowed to make its Internet sustainable and self-sufficient. In reality, the Kremlin undertook its first systematic effort to control its cyberspace.

As Russia sends tanks and soldiers to take over Ukraine, it is also dispatching censors and regulators to strangle the Internet. In this special series by the Center for European Policy Analysis, The New Iron Curtain, Senior Fellows Andrei Soldatov and Irina Borogan argue that both invasions are linked and represent the culmination of a more than a decade-long trend to throttle the free and open flow of information in Russia.

For years, former KGB generals watched the growth of the Internet with suspicion, believing it was a threat to Russias national security. They vowed to disable it.

Their leader was Vladislav Sherstyuk, a career KGB officer. In 1998, he became director of FAPSI, the division of the intelligence service in charge of spying on foreign communications and the protection of the governments most sensitive networks. The next year, President Putin promoted Sherstyuk to the powerful Security Council, where he supervised the information security department. In 2000, his team composed the Information Security Doctrine of the Russian Federation, a plan for the future of the Russian internet.

Its doctrine reflects the KGB mindset: the free flow of information, coming from the West, poses a threat to Russias national security. Threats ranged from a devaluation of spiritual values to a reduction of the spiritual, moral and creative potential of the Russian population, as well as the manipulation of information (disinformation, concealment or misrepresentation). Putin signed the document, and the Security Council became the ideological center of operations to curb Russian Internet freedom and the force behind the nascent Sovereign Internet.

In November 2017, the Security Council instructed the Ministry of Communications to submit proposals for the creation and implementation of a state information system to ensure the integrity, stability, and security of the Russian segment of the Internet, as well as replacement root servers for national top-level domain names." The Security Council warned: A serious threat to the security of the Russian Federation is the increased capabilities of Western countries to conduct offensive operations in the information space and readiness to use them.

Officially, the Security Council aimed to make the Russian Internet sustainable end self-sufficient. In fact, the Kremlin wanted to build an effective system of control. The Kremlin identified six challenges to overcome:

During the Cold War, the Kremlin saw the most dangerous content coming from Western media. This content could be found on the Internet, but Russians preferred and trusted domestic content.

Opposition leader Alexei Navalnys documentaries about Kremlin corruption attracted record YouTube audiences. In 2017, Navalnys YouTube video about Russian Prime Minister Dmitri Medvedevs alleged corruption was viewed more than 22 million times. Since then, Navalnys organization has produced anti-corruption videos on YouTube on an industrial scale. These videos are more popular than content created by Radio Free Europe, Voice of America, or the BBC.

The Kremlin began to pressure both local and Western technology companies to take down opposition content critical to authorities.

When ordinary people witness a natural disaster, a technical catastrophe, or police brutality and share the evidence through video or photos -- the posts go viral. The information spreads too quickly for the censorship system to address.

The Kremlin began to set up a Moscow control center, giving it the ability to oversee access to the entire Russian Internet.

Censors understand that activists use apps such as Signal or software such as Tor to obscure their communications, but ordinary Russians depend on mainstream consumer apps such as WhatsApp, Viber (a communications app owned by the Japanese company Rakuten), Telegram, and TikTok.

The Kremlin aimed to change reliance on Western apps to local ones that the security services could control and suppress.

YouTube and TikToks explosive growth took Russian authorities by surprise. In 2017, Navalny's documentary about Medvedevs corruption encouraged Russian YouTubers to spread videos showing police brutality used to crack down on protests. Russian schoolchildren filmed their teachers raging about enemies of the state and posted the videos.

The Kremlin concentrated its censorship efforts on video posts, filing numerous complaints to YouTube about the Navalny videos, and arresting the editor of Navalny Live.

In August 2018, tensions rose in the majority Muslim region of Ingushetia over a Kremlin-supported border-swap agreement with neighboring Chechnya. On the day of the agreements signing, about a hundred people gathered to protest in the Ingush capital, Magas.

Ingushetia's Internet was cut. Authorities suppressed live streaming. In the following weeks, the Ingush kept going to the streets to protest, and the FSB secret service enforced web shutdowns.

Despite the efforts, information about protests kept leaking. The Kremlins new system, controlled through a single center in Moscow, was built to shut down the Internet to entire regions, allowing it to act without relying on regional enforcers.

Starting in the 1990s, Russian telecom companies were required to buy and update equipment for online surveillance. Starting in 2018, Russians were obliged to store the complete data of all users for six months, and their metadata for three years.

Telecom companies protested. Sometimes, their resistance became public company officials expressed their concerns at conferences and to journalists. In most cases, the resistance stayed private. Companies attempted to find a way around the legislation, for instance, by renting surveillance equipment from large operators. This resistance undermined the effectiveness of the Russian nationwide surveillance and filtering.

Kremlin censors realized that they needed to pay companies to install censorship and surveillance tools. They began providing Internet service providers with special equipment which gave the government the means to suppress and redirect the traffic to the control center in Moscow.

The Sovereign Internet was born. It would be built out over the next few years, in advance of the decision to invade Ukraine.

Andrei Soldatov is a nonresident senior fellow with the Center for European Policy Analysis. Andrei is a Russian investigative journalist, co-founder, and editor of Agentura.ru, a watchdog of the Russian secret services activities. He has been covering security services and terrorism issues since 1999.

Irina Borogan is a nonresident senior fellow with the Center for European Policy Analysis. Irina is a Russian investigative journalist, co-founder, and deputy editor of Agentura.ru, a watchdog of the Russian secret services activities.

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Insights on the Internet of Things Security Global Market to 2029 – Featuring Verizon Enterprises Solutio – Benzinga

Dublin, March 30, 2022 (GLOBE NEWSWIRE) -- The "Internet of Things (IoT) Security Market Size, Market Share, Application Analysis, Regional Outlook, Growth Trends, Key Players, Competitive Strategies and Forecasts, 2021 to 2029" report has been added to ResearchAndMarkets.com's offering.

Wide-scale implementation of Internet of Things (IoT) concept has the ability to transform the way we live. The emergence of new IoT products such as home automation components, internet-enabled appliances and energy management devices are changing the entire scenario of IoT industry.

However, lack of security is still one of the most important concerns for people and enterprises that look to adopt IoT. Recent ransomware and Distributed Denial of Service (DDoS) attacks have made this concern even more viable. Cost barrier and infrastructure investment for hackers are quite low and they use inexpensive, mass-scale techniques such as automated bots, email and off-the-shelf exploit kits among others. However, the magnitude of damage of these techniques is quite high. The infection of just one device or network element can result in a successful network attack. Therefore, IoT security will be an important area of concern for any organization in the coming years in order to comfortably roll-out their IoT-based solutions.

IoT has witnessed mass scale adoption across various application areas in recent years. In the manufacturing sector, its adoption is believed to significantly reduce bottlenecks, improve efficiency and increase profitability. Restaurant and retail chains could implement IoT to monitor customer movements, improve supply chain management and enhance the overall customer experience. In the healthcare sector, IoT could be implemented to more effectively manage staff, monitor patients and expensive medical equipment. The large scale adoption of IoT technologies across various verticals has made it vulnerable to cyber-attacks, thus arising the need for appropriate IoT security measures.

The major factor driving the IoT security market growth is the rapid adoption of cloud-based services as well as connected devices on a very large scale. Confidential data such as biometrics information is often stored on clouds, making them vulnerable to theft and misuse. Thus, in order to protect these data from unauthorized access, IoT security is finding increased adoption in the IoT space.

Moreover, improved IoT security handling skills and organizational changes are further expected to bolster the adoption of IoT security during the forecast period. With improving technical expertise for infrastructure handling, IoT security will find an increased adoption in organizations. In addition, various countries such as Japan, China, Germany and the U.S. among others have embraced the Industrie 4.0 (fourth industrial revolution). The Industrie 4.0 is sponsored by the German government with a vision for advanced manufacturing sector. It encompasses many business designs and technologies, including the IoT and digital business. This factor is expected to positively impact the IoT security market growth.

Some of the major players profiled in the report are Verizon Enterprises Solutions, PTC, Inc., Check Point Security Software Technologies Ltd., Symantec Corporation, Cisco Systems, Inc., Gemalto NV, IBM Corporation, Trend Micro, Inc., Hewlett Packard Development Company L.P., Intel Corporation, NSIDE Secure SA and AT&T, Inc. among others.

On the basis of vertical, the global Internet of Things (IoT) security market is segmented into the following categories:

In 2020, the Internet of Things (IoT) security market worldwide market was led by the manufacturing segment. Manufacturing companies are in the constant urge to enhance their production output and business process efficiency. Smart manufacturing in particular has been at the vanguard of introducing scalability, transparency and process defined architecture in manufacturing operations. Moreover, the implementation of Industrie 4.0, also referred to as the fourth industrial revolution in various countries such as the U.S., China, Japan and Germany among others is leading to the increased adoption of IoT technologies in the manufacturing sector and thus further arising the need for IoT security. These initiatives are contributing to the manufacturing segment growth.

The Banking, Financial Services and Insurance (BFSI) follow the manufacturing segment, in terms of value. Consumers are always in the lookout for convenient and personalized service whenever possible. This is evident from the growing popularity of mobile banking apps, online banking transactions, and contactless payment technologies. With added convenience they also want the highest levels of digital security from their banks. Security threats and data breaches often pose major problems to banks in the IoT era. Therefore, in order to ensure maximum security to its customers, the banking sector has been increasingly adopting IoT security measures.

Based on the geography, the global Internet of Things (IoT) security market is segmented as per following regions and countries:

The global Internet of Things (IoT) security market is dominated by the North American region. In 2020, the region accounted for more than 40% of the overall market revenue generated worldwide. The IoT security market here is majorly attributed to the U.S. and Canada being the early adopters of IoT technologies in various applications such as smart manufacturing and healthcare. The region has witnessed some major IoT security breaches in recent years. According to a survey conducted by Altman Vilandrie & Company, in the U.S., nearly 50% of firms using IoT have been a victim of security breaches. Moreover, presence of a large number of big players in the region such as Intel Corporation, IBM Corporation and Cisco Systems, Inc. has further contributed to the IoT security market growth.

In the following years, Asia Pacific is set to register the highest growth. The market growth here is primarily driven by the growing mobile devices penetration, large number of business organizations and the unregulated usage of the Internet. Moreover, growing economic growth and social transformation in the region is further expected to create a favorable environment for the adoption of IoT technologies, thereby impacting the IoT security market growth positively.

Key Topics Covered:

Chapter 1 Preface

Chapter 2 Executive Summary

Chapter 3 Market Dynamics3.1 Market Overview3.1.1 Global Internet of Things (IoT) Security Market Revenue and Growth, 2019 - 2029, (US$ Bn) (Y-o-Y %)3.2 Market Drivers3.3 Market Growth Inhibitors3.3.1 Impact Analysis of Drivers and Restraints3.4 Key Market Trends and Future Outlook3.5 Attractive Investment Proposition3.6 Competitive Analysis3.6.1 Market Positioning of Key Vendors3.6.2 Key Strategies Adopted by the Leading Players

Chapter 4 Global Internet of Things (IoT) Security Market Analysis, by Security Type4.1 Market Analysis4.2 Device4.3 Cloud Infrastructure4.4 Network

Chapter 5 Global Internet of Things (IoT) Security Market Analysis, by Solution Type5.1 Market Analysis5.2 Intrusion Prevention System (IPS)/ Intrusion Defense Systems (IDS)5.3 Identity Access Management (IAM)5.4 Data Loss Protection (DLP)5.5 Security & Vulnerability Management (SVM)5.6 Unified Threat Management (UTM)5.7 Network Security Forensics (NSF)5.8 Security Analytics5.9 Others

Chapter 6 Global Internet of Things (IoT) Security Market Analysis, by Vertical6.1 Market Analysis6.2 Manufacturing6.3 Healthcare6.4 Utilities6.5 Retail6.6 Banking, Financial Services and Insurance (BFSI)6.7 Government6.8 Others

Chapter 7 North America Internet of Things (IoT) Security Market Analysis

Chapter 8 Europe Internet of Things (IoT) Security Market Analysis

Chapter 9 Asia Pacific Internet of Things (IoT) Security Market Analysis

Chapter 10 Rest of the World (RoW) Internet of Things (IoT) Security Market Analysis

Chapter 11 Company Profiles11.1 Verizon Enterprises Solutions11.2 PTC, Inc.11.3 Check Point Security Software Technologies Ltd.11.4 Symantec Corporation11.5 Cisco Systems, Inc.11.6 Gemalto NV11.7 IBM Corporation11.8 Trend Micro, Inc.11.9 Hewlett Packard Development Company L.P.11.10 Intel Corporation11.11 NSIDE Secure SA11.12 AT&T, Inc.

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

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