The Arab Academy for Science, Technology & Maritime Transport in Egypt, to Launch the First Artificial Intelligence Lab in the MENA, Together with…

The partnership will bring AI and robotics to AASTMT new campus in Alamin new city and will allow AASTMT students to apply their learning in the company in the USA.

SAN FRANCISCO and ALEXANDRIA, Egypt, July 8, 2022 /PRNewswire/ -- Today, the #1 ranked university in Egypt in quality of learning The Arab Academy for Science, Technology & Maritime Transport (AASTMT) and RobotLAB, the leading educational robotics company, jointly announced signing a first-of-its-kind partnership between the parties to build an artificial intelligence and robotics lab on the campus.

The AI LAB is the first and largest of its kind in MENA region includes:

For Professor Ismail Abdel Ghafar, president of the AASTMT academy, this partnership will bring an enriching experience for the students and the campus and help prepare the students to their future careers.

"AASTMT has been dedicated to fostering a highly professional environment of advancing knowledge, developing human potential, and breaking new intellectual and academic ground with the aim of improving the lives of human beings and of communities all over the Arab and the whole World," said Prof. Ghafar, "Our partnership with RobotLAB signifies a big step into the future of robotics and AI, and we are very excited to introduce this game-changer lab exclusively for our students and the institution and can't wait to see the positive impact it will have on our community," Prof. Ghafar added.

The AI LAB by RobotLABis a turnkey, state-of-the-art modular learning space designed to enable students' rotation between AI stations. Each configuration includes robots and teaching resources and provide learners with practical hands-on activities exposing them to multiple disciplines and various scenarios in which Artificial Intelligence takes control of our lives. It gives students a unique and rich learning experience to ensure that they are ready for their career life in-the-2030's.

"We are excited to partner with AASTMT," said Elad Inbar, RobotLAB CEO, "This partnership is above and beyond a typical deployment of an AI lab, this is beyond providing robots and training materials. This is about supporting the leading university in Egypt by bringing Silicon Valley know-how to the Middle East, and about knowledge-transfer, bringing students from Egypt to the Silicon Valley. Hands-on experience is the best way to learn, and to prepare for the real life post the studential life"

As part of the partnership RobotLAB will host AASTMT students at its offices located in the USA in California and Texas, for hands-on internship with the leading robotics company. Students will learn what it takes to deploy robots in a commercial environment, learn how to program and configure robots to navigate autonomously, relationship with robot manufacturers, participate in sales and marketing meetings, and over to how to repair robots. The students that will be selected for the program will gain massive, real-world, knowledge!

TheArab Academy for Science, Technology & Maritime Transport(AASTMT) is a regional university operated by theArab Leaguewhich runs programs inmarine transportation,business, andengineering.AASTMT started as a notion in the Arab League Transport Committee's meetings on 11th of March 1970. The Academy's inception was in 1972[3]in the city of Alexandria, Egypt. After that it expanded into Cairo.The vision, mission, and core values of the AASTMT reflect its philosophy since its establishment, as well as an affirmation of its desire to be the beacon of science in Egypt and the Arab region. They also highlight that the AASTMT is an effective agent in achieving sustainable economic and social development.

Founded more than a decade ago, RobotLAB is the premier educational-robotics company. The company's innovative use of robots in the classroom was recognized by prominent organizations and won the company multiple awards such as the Best EdTech Company (SxSWEdu), the Gold in education category (Edison Awards), a Game Changer award (RoboBusiness), Best STEM tool (EdTech Digest), and many more. Trusted by educators in more than 2,500 schools, RobotLAB is the leader in the educational-robotics market, ensuring schools' investment in technology won't be wasted. Its flagship product, Engage! K12 is designed to engage students and help them master the skills they need in order to ensure career and college readiness while developing 21st-century skills.

Media Contact:Maria Galvis+1(415)702-3033[emailprotected]

SOURCE RobotLAB

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The Arab Academy for Science, Technology & Maritime Transport in Egypt, to Launch the First Artificial Intelligence Lab in the MENA, Together with...

Artificial Intelligence in Sports Market Projection By COVID-19 Impact on Industry till 2030 Designer Women – Designer Women

Competitors in the Market, The leading prominent companies profiled in the global artificial intelligence in sports market are:,Catapult Group International Limited, Facebook Incorporated, IBM Corporation, Microsoft Corporation, Salesforce.com Incorporated, SAP SE, SAS Institute Incorporated, Sportradar AG, Stats Perform, Trumedia Networks, Other Prominent Players

The global artificial intelligence in sports market size was US$ 1.8 billion in 2021. The global artificial intelligence in sports market size is forecast to reach US$ 19.9 billion by 2030, growing at a compound annual growth rate (CAGR) of 30.4% during the forecast period from 2022 to 2030.

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Several areas of sports are using artificial intelligence, including post-game analysis, in-game activity, and fan experiences. Players are also using the technology to enhance their performance. A number of apps, including HomeCourt, ESPN Player, and MaxOne (M1) AI SmartCoach, use computer vision and machine learning to assess basketball players skills and help them improve. Further, athletes can use these performance metrics to learn where their highest potential lies and where they still need to improve.

Factors Influencing Market Growth

An increase in demand for players statistics monitoring and tracking, along with chatbots and virtual assistants used to interact with fans, contribute to the growth of the global artificial intelligence in sports market.

A rise in demand for real-time data analytics positively impacts global market growth.

High implementation and maintenance costs, coupled with a lack of trained & skilled professionals, may slow down the global market growth.

The growing demand for AI for making future predictions is forecast to provide lucrative opportunities for the global artificial intelligence in sports market expansion over the forecast period.

Impact Analysis of COVID-19

COVID-19s outbreak positively impacted the global artificial intelligence in sports market growth. Virtual contact sports have gained in popularity because fans are experiencing them first hand. As a result of increased COVID-19 cases, most sports stadiums limited the number of viewers in adopting virtual spectatorship. Additionally, AI-powered equipment allows for live streaming of sports events without the need for a camera operator. Furthermore, it was capable of generating statistical models, tactical analyses, and predictive analytics so coaches could maximize the ability of their players.

According to Statista, as of 2021 data, the United States held over ~36% of the global market share for information and communication technology (ICT). With a market share of 16%, the EU ranked second, followed by 12%, China ranked third. In addition, according to forecasts, the ICT market will reach more than US$ 6 trillion in 2021 and almost US$ 7 trillion by 2023. In todays society, continuous growth is another reminder of how ubiquitous and crucial technology has become. Over the next few years, traditional tech spending will be driven mainly by big data and analytics, mobile, social, and cloud computing.

This report analyzes the global primary production, consumption, and fastest-growing countries in the Information and Communications Technology(ICT) market. Also included in the report are prominent and prominent players in the global Information and Communications Technology Market (ICT).

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Regional Insights

North America dominated artificial intelligence in sports market in 2021 and is forecast to maintain its position during the forecast period. As a result of the increasing use of AI by major sports such as basketball, baseball, football, and tennis.

The Asia Pacific region is forecast to grow significantly over the forecast period. This is due to countries such as China investing heavily in AI technology. In addition, the increase in global sports competition for a higher position drives the artificial intelligence in sports market size.

Scope of the Report

The global artificial intelligence in sports market segmentation focuses on Component, Deployment Mode, Technology, Application, Game Type, and Region.

Segmentation based on Component

Software

Service

Segmentation based on Deployment Mode

Cloud

On-premise

Segmentation based on Technology

Machine Learning

Natural Language Processing

Computer Vision

Data Analytics

Others

Segmentation based on Application

Game Planning

Game Strategies

Performance Improvement

Injury Prevention Sports Recruitment

Others

Segmentation based on Game Type

Football

Cricket

Tennis

Basketball

Baseball

Others

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Segmentation based on Region

North America

The U.S.

Canada

Mexico

Europe

Western Europe

The UK

Germany

France

Italy

Spain

Rest of Western Europe

Eastern Europe

Poland

Russia

Rest of Eastern Europe

Asia Pacific

China

India

Japan

Australia & New Zealand

ASEAN

Rest of Asia Pacific

Middle East & Africa (MEA)

UAE

Saudi Arabia

South Africa

Rest of MEA

South America

Brazil

Argentina

Rest of South America

What is the goal of the report??The market report presents the estimated size of the ICT market at the end of the forecast period. The report also examines historical and current market sizes.?During the forecast period, the report analyzes the growth rate, market size, and market valuation.?The report presents current trends in the industry and the future potential of the North America, Asia Pacific, Europe, Latin America, and the Middle East and Africa markets.?The report offers a comprehensive view of the market based on geographic scope, market segmentation, and key player financial performance.

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Artificial Intelligence in Sports Market Projection By COVID-19 Impact on Industry till 2030 Designer Women - Designer Women

Scotiabank EVP and Chief Compliance Officer Nicole Frew to Speak at the Behavox Artificial Intelligence in Compliance and Security Conference -…

MONTREAL--(BUSINESS WIRE)--Behavox, which provides a suite of security products that help compliance, HR, and security teams protect their company and colleagues from business risk, today announced that Nicole Frew, Executive VP & Chief Compliance Officer at Scotiabank, will be participating in a fireside chat at the AI in Compliance and Security Conference. The conference, hosted by Behavox at its Montreal headquarters, will take place on July 19th. Behavox executives and guest speakers will discuss the next generation of Artificial Intelligence in Compliance and Security with customers, regulators, industry leaders, and partners.

The fireside chat with Nicole Frew and Behavox Chief Customer Intelligence Officer Fahreen Kurji will cover the pivotal role technology plays in compliance, how to drive organizational change that embraces innovation, and how to address the challenges of running a compliance organization in a perpetually evolving risk environment.

We are thrilled that Nicole and other industry leaders will be joining us to discuss the future of compliance, said Chief Customer Intelligence Officer Fahreen Kurji. Attendees will also have the chance to experience our groundbreaking new product, Behavox Quantum. There will be test drives and numerous workshops covering everything from infrastructure for cloud orchestration to the AI engine at the core of the product.

There will be a multitude of workshops and keynote speeches on compliance, security, and artificial intelligence. The conference will also feature Innovation Paddocks where guests will be able to learn more from the engineers and data scientists behind Behavox innovations and test drive Behavox Quantum.

Keynote presentations will cover:

1) Testing and Quality assurance framework for compliance models.2) Increasing employee and data coverage with cutting edge architecture for data processing built for AI.3) Improving accuracy of voice transcription using continuous learning.

The conference will host more than 200 compliance, security, and IT professionals from all over the world with delegations from regulators such as the SEC, FINRA, IIROC, and the government of Quebec.

Registration is currently open, but spaces are limited - register here.

About Behavox Ltd.

Behavox provides a suite of security products that help compliance, HR, and security teams protect their company and colleagues from business risks.

Through AI-powered analysis of all corporate communications, including email, instant messaging, voice, and video conferencing platforms, Behavox helps organizations identify illegal, immoral, and malicious behavior in the workplace.

Founded in 2014, Behavox is headquartered in Montreal and has offices in New York City, London, Seattle, Singapore, and Tokyo.

More information about the company is available at http://www.behavox.com.

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Scotiabank EVP and Chief Compliance Officer Nicole Frew to Speak at the Behavox Artificial Intelligence in Compliance and Security Conference -...

Striking the right balance on Artificial Intelligence – The Parliament Magazine

The European Parliaments Committee on Industry, Research and Energy (ITRE) recently voted in favour of Eva Maydell MEPs (BG, EPP) opinion on the Artificial Intelligence (AI) Act. The opinion received a strong endorsement from the committee with 61 votes in favour and only two against. Seven parliamentary committees are examining the proposal and Member States are still aligning their positions; but as the French pass the EU Presidency baton to the Czechs, EU40 - the platform of young pro-European MEPs - organised a multi-stakeholder discussion with leading actors and experts in the Microsoft Centre to take stock of where we are and to assess whether the EU is striking the right balance.

The European Commission unveiled its proposal in April 2021 with the aim of turning Europe into a global hub for trustworthy AI. The proposal is the first of a kind. Vestagers Executive Vice-President Werner Stengg, principal adviser on AI, said: When we drafted our white paper it was literally a white paper. We had been working on the issues in the OECD and with others, but it hadnt been done before and we would be the first ones in setting global standards.

Moderator Alessandro Da Rold, managing director at EU40, asked Stengg how the Commission had reached a balance between strict protection of fundamental rights and the promotion of innovation. Stengg said that the fact that there was a lot of debate within the parliament about which committee should even take a lead on the report was a manifestation of the Acts reach. However, he said for the Commission it was about innovation versus trust.

We wanted to unfold the potential of these technologies for industry and society, but address the risks, said Stengg. By addressing this in a uniform way, providing trust, legal certainty, by getting the definitions right, we give developers in Europe confidence to develop solutions within the Single Market. And then its go, go, go! as my boss [Vestager] would say.

Maydell said that the eyes of the world were on Europe: While we think that AI is too important to be left unregulated, it is even more important that Europe regulates well. She said that the debate had focused on controversial issues like the use of biometric facial recognition, which while important, is only 5% of the whole story. She wanted to put the spotlight on the other 95% of AI developments.

By providing trust and legal certainty, by getting the definitions right, we give developers in Europe confidence to develop solutions within the Single Market. And then its go, go, go!

Maydell said her opinion focused on the EUs exclusive or shared competencies and placed a particularly strong emphasis on the involvement of SMEs and start-ups, for example, she has proposed the establishment of an EU AI Regulatory Sandboxing Programme for a compliance-by-design approach. She said that AI systems specifically developed for the purpose of research would be outside the Acts scope. She underlined that for wider adoption of these technologies, both businesses and citizens need to have confidence in the systems value-chain responsibility is needed.

Cornelia Kutterer, Senior Director at Microsoft for European Government Affairs, welcomed Maydells opinion. When the President of the Ursula von der Leyen announced that the Commission would come forward with a proposal in a 100 days, we wondered what this would actually look like?

Microsoft started to reflect on what was necessary and developed its own AI governance model that set standards for engineers to sales people working with customers to approach sensitive issues. Microsoft identified three areas: fundamental and human rights; the risks of physical or psychological harm; and, risks of serious effects and impacts on peoples lives. These turned out to be similar to the Commissions thinking.

Microsoft then looked at how to operationalize these principles. Our engineers were really interested, but open questions like: Does your AI system have an impact on fundamental rights, didnt really help. So what we did is we changed the principles into outcomes, that made it easier for engineers to find solutions, said Ketterer. Lets say, the principle of fairness, you could stipulate that you wanted the same quality of service for different demographic groups. Thats an outcome thats understood and that engineers can try to solve. So were helping design tools to advance these principles.

Senior Director at Johnson & Johnson for Digital Health and Chair of the MedTech Europe digital health committee Angel Martin brought insights from his sector: "We need to strike a balance between what is a good horizontal piece of legislation and the wider ecosystem. For example, we work with the EUs Medical Devices Regulation. We need to avoid duplication and confusion between the AI Act and this regulation, or we will deter innovation.

Martin considers that AI is still in its infancy and underlines that it is not a panacea. He gave examples of how it can be used to help in clinical trials and improve the outcome for patients in the operating room: We can see that sometimes, even with the same surgeon, that there is a variation of outcome for patients. Using AI we can optimise outcomes and help a surgeon to make better decisions. So there are great opportunities, but there are also limitations.

The panel faced a number of questions from a lively audience; issues from how to improve communication and understanding around AI, to how the enforcement of the acts provisions would work in practice were raised.

The Czech Presidency has already forwarded a paper isolating the main issues to be resolved and the Parliament is hoping that their report could be adopted in the autumn. Maydell urged all actors to understand the Act in its wider geopolitical context: I think it's very clear that we cannot talk about tech, without geopolitics. We cannot ignore the true power struggle that we have between democracies and autocracies. As we sit in the upcoming negotiations, I hope we can truly be able to keep this bigger picture in mind.

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Striking the right balance on Artificial Intelligence - The Parliament Magazine

Are high-tech toothbrushes really better than the dentist office freebies? – The Philadelphia Inquirer

Colleen Rex admits she is oral care obsessed.

In 2017, she began two years of oral surgery that involved harvesting tissue from the roof of her mouth to patch her receding gum line. She never wants to go through that again.

Id like to keep my teeth as long as possible, said Rex, 51, a nurse who lives in Pennsport.

Rex has been using an electric toothbrush, which her dentist recommended because of her medical history, for more than 15 years. Last November, she made a major upgrade that she hopes will keep her teeth even cleaner: The Sonicare Prestige 9900, an electric toothbrush with artificial intelligence (AI) that gives real-time data on how well shes brushing. At $300, she got it for a steal. These souped-up smart toothbrushes retail for as much as $400.

The oral care business is booming, with increasingly powerful and stylish electric brushes, toothpastes that promise gleaming white enamel, and reusable dental floss. Global electric toothbrush sales were just under $3 billion in 2020 and are expected to top $4 billion by 2028, according to Fortune Business Insights.

But as is often the case in health care, more expensive doesnt necessarily mean better. Dental professionals insist that a traditional manual toothbrush, fluoride toothpaste, and floss will get the job done just as well so long as they are used properly and paired with healthy eating and routine check-ups.

Periodontal disease doesnt happen overnight, and it cant be reversed overnight, said Mark Wolff, the dean of the University of Pennsylvania School of Dental Medicine and a practicing dentist for 38 years. You cant have a sudden burst of cleaning your teeth really well and expect your mouth to go backward all of a sudden.

READ MORE: From teeth cleanings to X-rays, Pa. dentists struggle to see glut of patients as pandemic wanes

The key to getting a good clean with a manual toothbrush is using it the right way and not everyone can do that.

Electric toothbrushes may be especially helpful for people with dexterity problems, who cant grip the narrow handle of a manual toothbrush and brush in circular motions for the recommended two minutes twice a day. And if a fancy toothbrush encourages you to brush more often thats great, too, Wolff said.

The latest AI toothbrushes, such as Rexs, use Bluetooth to report your tooth-brushing stats to your phone. Rexs toothbrush app tells her how often and for how long she brushes, and whether she has missed any crevasses. The brush automatically adjusts its intensity when it senses that the user is brushing too hard, according to Sonicares website.

I put in that Im interested in gum care and that I dont want to brush too hard, said Rex, who clicks on the app and sets the phone on the sink when she gets out her toothbrush. It tells me how long to brush each quadrant and asks things like the intensity, duration and pressure I want.

Sonicare claims its AI brush removes up to 20 times more plaque than a manual toothbrush and can give users up to 15 times healthier gums in just two weeks, according to the companys website.

An array of pricey toothpastes similarly make promises that may sound too good to be true. Some guarantee whiter or brighter teeth, while others specify that they are especially formulated for sensitive teeth or people with gum disease.

All the toothpastes that say they whiten do have the effect of whitening, said Wolff. They will lift surface stains and whiten the enamel to some level, but they wont make your teeth toilet bowl white, he said.

Whitening toothpaste is quickly watered down by saliva and rinsing, said Bryan Katz, co-owner and dentist at Corner Dentistry in Bella Vista. If you really want whiter teeth, consider a fitted bleaching tray that holds the bleach in place, he said.

Cant afford the latest and greatest in oral care? Thats OK. Good oral hygiene habits are far more important.

The American Dental Association recommends brushing your teeth with a soft-bristled brush for at least two minutes twice a day. Replace your toothbrush at least every four months, or sooner if the bristles are frayed, because a worn toothbrush wont do a good job of cleaning your teeth.

As for toothpaste, choose one that contains fluoride and is ADA-approved. Fluoride is the most important ingredient in toothpaste because it protects teeth against decay by strengthening developing enamel and slowing acid production of bacteria caused by plaque.

If you suddenly become addicted to gummy bears, there is no toothpaste in the world thats going to protect you.

Flossing, Katz said, is underrated.

Bacteria can get between your gums and if you arent stimulating those gums and removing that bacteria at least once a day, it can lead to inflammation, he said.

There are lots of flossing products on the market traditional floss, floss sticks, electric water flossers, biodegradable bamboo floss, even reusable silicone floss and any of them will do the trick, he said.

Another overlooked way to improve your dental health: Cut back on the sugar. Regular brushing and flossing can make up for small amounts of sugar, but eating too much of it will harm your teeth.

If you suddenly become addicted to gummy bears, there is no toothpaste in the world thats going to protect you, Wolff said.

And dont skip routine dental cleanings. Once a year is sufficient for people with healthy teeth, Wolff said. People with bleeding gums or tooth decay may need to see the dentist every three months.

Rex, who sees her dentist four times a year, thinks her gum problems stemmed from the back-and-forth sawing motion and hard-bristled brush she used as a child.

Her electric toothbrush has made a big difference. Rexs dentist measures her gums at each visit and hasnt noticed any negative changes in years.

If I didnt have my Sonicare, I dont think I would know how to brush my teeth with a manual toothbrush anymore, Rex said.

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Are high-tech toothbrushes really better than the dentist office freebies? - The Philadelphia Inquirer

The Swedish Maritime Administration uses artificial intelligence in sea and air rescue – Hellenic Shipping News Worldwide

All radio traffic on the emergency channel that reaches Sweden is now transcribed by artificial intelligence (AI) and shown to the operators at the Joint Rescue Co-ordination Centre in Gothenburg within a second. Keywords, such as Mayday, SOS, help and sinking, are clearly marked and cannot be missed.

The Swedish Maritime Administration, together with the Swedish companies Tenfifty AB and Maranics AB, has conducted a research and innovation project during the past two years. Earlier this year, a full-scale test was launched of an emergency call detection system that uses the very latest AI technology. The system will be in operational use until the autumn when an evaluation will be made.

It was Tobias Nicander, rescue leader at the Joint Rescue Co-ordination Centre, who already in 2009 came up with the idea of getting help with listening to the emergency channel. Calls can sometimes be difficult to interpret because the signals are weak and the messages are incoherent. In addition, there is always the risk that the operator is already working on an alarm when a new case arises. There is thus a small risk of missing a call, but by transcribing all calls, the risk is reduced. The technology did not exist when Tobias got the idea, but 10 years later, technology has caught up.

Not only do we get the calls texted, we have also defined keywords that should be clearly marked and should remain on our screens until we say that we have seen them. We also receive documentation of what has been said on the channel, which can be helpful in improving the process in the future. It serves, for example, as a perfect base for education, says Tobias Nicander.

Already on the first day, the system drew the operators attention to two Mayday calls: one in Germany and one in Denmark. This shows that the AI solution can interpret even weak signals and that the operators really get the help they want, to be able to make even better assessments in the future. In addition, it shows that the reach of the Swedish coastal radio network is good enough. The solution will not replace the operators. It is developed with the goal of relieving and supporting the operators in their daily work.Source: Swedish Maritime Administration

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The Swedish Maritime Administration uses artificial intelligence in sea and air rescue - Hellenic Shipping News Worldwide

Building Information Modeling Market Report 2022: Artificial Intelligence in BIM and Increasing Demand for BIM Based Cloud Collaboration Presents…

DUBLIN, July 7, 2022 /PRNewswire/ --The "Building Information Modeling Market Report: Trends, Forecast and Competitive Analysis" report has been added to ResearchAndMarkets.com's offering.

The market is expected to reach an estimated $9 billion by 2025 with a CAGR of 9% to 11% from 2019 to 2025. The major drivers for this market are rapid urbanization, growth in infrastructure projects, and increase adoption of BIM for planning, designing, and managing building projects efficiently.Emerging trends, which has a direct impact on the dynamics of the industry, includes development of Artificial Intelligence in BIM, increasing demand for BIM based cloud collaboration, and emergence of modular construction and prefabrication.

Software for building information modelling will remain the largest segment over the forecast period due to increasing demand in architecture, engineering, and construction (AEC) as it offers various benefits, such as interoperability between applications, easy visualization, and cost effectiveness.

Buildings will remain the largest segment during the forecast period due to the increasing number of residential buildings and construction projects and increasing adoption of BIM modelling to reduce cost and delay by efficiently planning, designing, constructing and managing buildings.

North America will remain the largest region the forecast period due to wide adoption of BIM by architects, engineers, and consultants for planning, designing, and construction of residential and infrastructure projects and favorable government support for BIM modelling.

The study includes trends and forecast for the global building information modeling market by offering, product life cycle, end use industry, and region as follows:

By Offering [$M shipment analysis for 2014 - 2025]:

By Product Life Cycle [$M shipment analysis for 2014 - 2025]:

By End Use Industry [$M shipment analysis for 2014 - 2025]:

By Region [$M shipment analysis for 2014 - 2025]:

Key Topics Covered:

1. Executive Summary

2. Building Information Modeling Market Background and Classification2.1: Introduction, Background, and Classifications2.2: Supply Chain2.3: Industry Drivers and Challenges

3. Market Trends and Forecast Analysis from 2014 to 20253.1 Macroeconomic Trends and Forecast3.2 Global Building Information Modeling Market Trends and Forecast3.3 Global Building Information Modeling Market by End Use Industry3.3.1: Buildings3.3.2: Civil Infrastructure 3.3.3: Oil & Gas3.3.4: Industrial3.3.5: Utilities3.3.6: Others 3.4 Global Building Information Modeling Market by Offering3.4.1: Software3.4.1.1 Architectural Design3.4.1.2 Construction3.4.1.3 Sustainability3.4.1.4 Structures3.4.1.5 Mechanical, Electrical, and Plumbing3.4.1.6 Facility Management3.4.2: Services3.4.2.1: Project Management Support3.4.2.2: Software Support and Maintenance 3.5: Global Building Information Modeling Market by Project Life Cycle3.5.1: Pre-Construction3.5.2: Construction3.5.3: Operation

4. Market Trends and Forecast Analysis by Region

5. Competitive Analysis5.1: Product Portfolio Analysis5.2: Market Share Analysis5.3: Geographical Reach5.4: Porter's Five Forces Analysis

5. Competitive Analysis

6. Growth Opportunity and Strategic Analysis6.1 Growth Opportunities Analysis6.2: Emerging Trends in Global Building Information Modeling Market6.3: Strategic Analysis6.3.1: New Product Development6.3.2: Capacity Expansion of the Building Information Modeling Market6.3.3: Mergers, Acquisitions and Joint Ventures in the Global Building Information Modeling Market

Companies Mentioned

For more information about this report visit https://www.researchandmarkets.com/r/1y0u6q

Media Contact:

Research and MarketsLaura Wood, Senior Manager[emailprotected]

For E.S.T Office Hours Call +1-917-300-0470For U.S./CAN Toll Free Call +1-800-526-8630For GMT Office Hours Call +353-1-416-8900

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Building Information Modeling Market Report 2022: Artificial Intelligence in BIM and Increasing Demand for BIM Based Cloud Collaboration Presents...

Artificial Intelligence in Food & Beverages Market Advanced technologies & growth opportunities in global Industry by 2022 to 2029 Designer…

This business report includes strategic profiling of key players in the market, systematic analysis of their core competencies, and draws a competitive landscape for the market. It is the most appropriate, rational and admirable market research report provided with a devotion and comprehension of business needs. The report also estimates CAGR (compound annual growth rate) values along with its fluctuations for the definite forecast period. To understand the competitive landscape in the market, an analysis of Porters five forces model for the market has also been included in this market report. It all together leads to the companys growth, by subsidizing the risk and improving the performance.

Artificial Intelligence in Food & Beverages report studies market risk, market overview, and market opportunities. It also evaluates the leading manufacturers of the global market which consists of its revenue, sales, and price of the products. Furthermore, it presents global market by regions, market share and with revenue and sales for the projected period. The report displays the competitive nature among key manufacturers, with market share, revenue, and sales. Artificial Intelligence in Food & Beverages business report also evaluates the market by segments, by countries and by manufacturers with revenue share and sales by key countries in these various regions. Some of the Major Key players profiled in the study are GREEFA, TOMRA System ASA, Honeywell International Inc., Martec of Whitell Ltd. Sesotec GmbH, Key Technology Inc., Raytec Vision SpA, Rockwell Automation, ABB Ltd., Foodable Network, LLC. Startup Creator, and More

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Glob Market Reports offers an overarching research and analysis-based study on, GlobalArtificial Intelligence in Food & Beverages MarketReport, History and Forecast 2022-2029, Breakdown Data by Companies, Key Regions, Types and Application. This report offers an insightful take on the drivers and restraints present in the market. Artificial Intelligence in Food & Beverages data reports also provide a 5 year pre-historic and forecast for the sector and include data on socio-economic data of global. Key stakeholders can consider statistics, tables & figures mentioned in this report for strategic planning which lead to success of the organization. It sheds light on strategic production, revenue, and consumption trends for players to improve sales and growth in the global Artificial Intelligence in Food & Beverages Market.

Here, it focuses on the recent developments, sales, market value, production, gross margin, and other significant factors of the business of the major players operating in the global Artificial Intelligence in Food & Beverages Market. Players can use the accurate market facts and figures and statistical studies provided in the report to understand the current and future growth of the global Artificial Intelligence in Food & Beverages market.

Artificial intelligence in food & beverages market will grow at a CAGR of 43.53% in the forecast period of 2021 to 2028. Growing concern regarding improvement of supply chain efficiency is an essential factor driving the artificial intelligence in food & beverages market.

Artificial intelligence in food and beverages is defined as solutions which help in improving the supply chain of food & beverages industry. This solution helps in providing other way to fulfil their customers in the lower costs. The advent usage of artificial intelligence, in the food & beverages industry has offers numerous advantages such as increased efficiency and execution of product delivery and increasing food security and also reduces wastage of food.

Years Considered to Estimate the Market Size:

History Year: 2015-2022

Base Year: 2022

Estimated Year: 2022

Forecast Year: 2022-2029

The titled segments and sub-section of the market are illuminated below:

Artificial Intelligence in Food & Beverages Market Report Scope

By Organization Size (Small, Medium & Large Enterprises),

End-User (Food Processing, Grocery, Hotels & Beverages Industry),

Application (Food Sorting, Quality Control, Consumer Engagement, Production & Packaging, Maintenance & Others),

Regions Covered in the Global Artificial Intelligence in Food & Beverages Market:

Key Players Mentioned in the Artificial Intelligence in Food & Beverages Market Research Report:Compac Sorting Equipment, Agco Corporation, National Recovery Technologies, Llc, Max-Ai, Buhler AG |, QualySense AG, Bratney Companies, BoMill AB, Milltec Clarfai, Inc., BBC technologies and INTELLIGENTX Brewing Co., among other

Global Artificial Intelligence in Food & BeveragesResearch Methodology

Data Bridge Market Research presents a detailed picture of the market by way of study, synthesis, and summation of data from multiple sources.The data thus presented is comprehensive, reliable, and the result of extensive research, both primary and secondary. The analysts have presented the various facets of the market with a particular focus on identifying the key industry influencers.

What Report offers to the buyers?

For More Information with including full TOC:https://www.databridgemarketresearch.com/toc/?dbmr=global-artificial-intelligence-in-food-beverages-market&DP

Extracts from Table of Content:

Chapter 1: Market Overview, Drivers, Restraints and Opportunities, Segmentation overview

Chapter 2: Market Competition by Manufacturers

Chapter 3: Production by Regions

Chapter 4: Consumption by Regions

Chapter 5: Production, By Types, Revenue and Market share by Types

Chapter 6: Consumption, By Applications, Market share (%) and Growth Rate by Applications

Chapter 7: Complete profiling and analysis of Manufacturers

Chapter 8: Manufacturing cost analysis, Raw materials analysis, Region-wise manufacturing expenses.

Chapter 9: Industrial Chain, Sourcing Strategy and Downstream Buyers

Chapter 10: Marketing Strategy Analysis, Distributors/Traders

Chapter 11: Market Effect Factors Analysis

Chapter 12: Market Forecast

Chapter 13: Artificial Intelligence in Food & Beverages Research Findings and Conclusion, Appendix, methodology and data source.

Continued

Thanks for reading this article, you can also get individual chapter wise section or region wise report version like North America, Europe or Asia.

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Artificial Intelligence in Food & Beverages Market Advanced technologies & growth opportunities in global Industry by 2022 to 2029 Designer...

Lift The Veil On RSA With This RSA Calculator – Hackaday

Encryption algorithms can be intimidating to approach, whats with all the math involved. However, once you start digging into them, you can break the math apart into smaller steps, and get a feel of what goes into encryption being the modern-day magic we take for granted. Today, [Henry Schmale] writes to us about his small contribution to making cryptography easier to understand lifting the veil on the RSA asymmetric encryption technique through an RSA calculator.

With [Henry]s calculator, you can only encrypt and decrypt a single integer, but youre able to view each individual step of an RSA calculation as you do so. If you want to understand what makes RSA and other similar algorithms tick, this site is an excellent starting point. Now, this is not something you should use when roll your crypto implementations as cryptographers say in unison, writing your own crypto from scratch is extremely inadvisable. [Henry] does say that this calculator could be useful for CTF players, for instance, but its also undeniably an accessible learning tool for any hacker out there wishing to understand what goes on under the wraps of the libraries we use.

In modern day, cryptography is instrumental to protecting our freedoms, and its a joy to see people work towards explaining the algorithms used. The cryptography tools we use day-to-day are also highly valuable targets for governments and intelligence agencies, willing to go to great lengths to subvert our communication security so its even more important that we get acquianted with the tools that protect us. After all, it only takes a piece of paper to encrypt your communications with someone.

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Lift The Veil On RSA With This RSA Calculator - Hackaday

Welcome to the Quantum Age – 6 Things You Need to Know About Quantum Computing – JD Supra

Quantum computing has the potential to drive economic growth and promote innovation across a range of industries such as manufacturing, supply chain optimization and logistics, molecular simulations and pharmaceuticals, machine learning, and finance. With a sustained influx of private and government investment and scientific advancements, quantum computing has moved rapidly towards the commercial market. For certain currently intractable problems, quantum computers will have a transformative effect, providing answers exponentially faster than a classical computer.

However, alongside this potential, quantum computing poses an existential threat to certain current forms of cryptography and thus the security of our data.

We have outlined the 6 things you need to know about quantum computing, from its use cases to the hazards it poses to cybersecurity, and how to prepare for the quantum age.

1. The Quantum Computing Industry is Growing

In December 2018, former President Trump signed the National Quantum Initiative Act (the NQI). The NQI called for a coordinated Federal program to accelerate quantum research and development for the economic and national security of the United States and allocated $1.2 billion to advance quantum technologies.

Spurred by recent scientific breakthroughs and extensive government support across agencies, national labs, and partnerships across government, academia, and the private sector, the quantum market is on the rise. According to McKinsey, funding of start-ups focused on quantum technologies (which also encompass quantum sensing and quantum networking) more than doubledfrom $700 million in 2020 to $1.4 billion in 2021. The share of investments in quantum coming from private-capital entities now accounts for more than 70 percent of investments. In total, quantum computing companies raised $3 billion by the end of 2021. In particular, four industriespharmaceuticals, chemicals, automotive, and financeare projected to be the first beneficiaries of quantum advantages, with the potential to capture nearly $700 billion in value as early as 2035. This increased funding suggests a growing confidence from the investment community in quantum computing.

While the possibility of huge long-term returns from quantum computing investments is clear, many companies and industries are already deriving value by mapping many of their high-value intractable problems onto hybrid quantum-classical algorithms being developed by quantum software companies. Companies that have already announced major quantum initiatives include Daimler, Volkswagen, Boeing, Airbus, Goldman Sachs, JPMorgan Chase, Wells Fargo and Merck. Additionally, prominent technology companies are also developing their own quantum capabilities - notably Alibaba, Amazon, IBM, Google, and Microsoft have launched commercial quantum computing cloud services.

2. Quantum Computing Poses a Real Threat to Cybersecurity

A quantum computer can factor prime numbers far more efficiently than a classical computer, thus allowing a requisitely large scale fault tolerant computer running what is known as Shors algorithm to break RSA encryption. The RSA cryptosystem is based on the complexity of prime number factorization for classical computers and is the building block of the current internet infrastructure used to secure most online communication and protect banking, health care, national security, trade secrets, and other vital digital information. As of April 2022, some 78% of all websites communicate relying on the secure version of the HTTP protocol, which is based on RSA encryption. Thus, the possibility of a quantum computer breaking RSA poses a significant threat to the public and private sectors information technology systems.

Although large scale fault tolerant quantum computers remain on the technological horizon as the hardware and software continue to develop, the cybersecurity risk is not just at the point when a quantum computer reaches the technological capacity to run Shors algorithm. Using what is known as harvest, decrypt later attacks, a hacker could obtain RSA-encrypted data now in a classic cyberattack and then decrypt that data in the future when large scale fault tolerant quantum computers are accessible. This is especially concerning for the financial and healthcare industries as unauthorized disclosure of sensitive financial and personal health information would impact consumers and patients at an unprecedented scale.

3. Solutions to Mitigate the Threat are Available

To address these threats while still promoting the overwhelmingly positive impacts that quantum technologies can have, on May 4, 2022, the White House released a national security memorandum (the NSM) outlining the Biden Administrations plan to address the cybersecurity risks posed by quantum technology. The NSM directs the National Institute of Standards and Technology (NIST) to come up with new algorithms (post-quantum algorithms) and standards through a "Migration to Post-Quantum Cryptography Project". NIST is currently engaged in a six-year effort to devise and assess encryption methods that could resist an attack from a future quantum computer.

On July 5, 2022, NIST announced four encryption algorithms that will become part of its post-quantum cryptographic standard, expected to be finalized in about two years at which point the public and private sector can fully implement them. The selection signals the beginning of the final stage of NISTs post-quantum cryptography standardization project, which will likely become an international reference for the industry. However, it is important to note that the final standards will likely constitute more than one algorithm for different use cases in the event one proves vulnerable. While the standards remain in development, NIST encourages IT professionals to explore the new algorithms and consider how their applications will implement them, while remaining flexible as the algorithms could change before the standard is finalized.

4. The Cybersecurity Threat is Likely to Have Legal Consequences

The advent of quantum computers will likely change the nature of what is considered appropriate cybersecurity or industry standard security practice under privacy laws, industry regulations, and commercial contracts. If organizations wait to invest in solutions to adequately protect their data until after a quantum hack, they put themselves at risk both of losing their data in the future and suffering reputational harm.

Regulations such as Articles 5 and 32 of the European Unions General Protection Regulation (GDPR) require personal data to be stored with appropriate security and protection against unauthorized users and to implement appropriate technical and organizational measures to ensure a level of security suitable to the risk. In addition, the California Consumer Privacy Act (CCPA) requires that a business utilize reasonable security in the context of personal information collected or processed for specific purposes. Meanwhile, industry-specific laws such as the Gramm-Leach-Bliley Act (GLBA) and the Health Insurance Portability and Accountability Act (HIPAA) include security rules and safeguard requirements to ensure that financial and health data respectively is adequately protected. However, due to the scale at which a quantum computer will likely be able to break current methods of encryption, appropriate protection against a ransomware or other classical cyberattack will likely look far different in the quantum age.

If an organization processes personal data protected under current encryption methods that arent quantum-proof, that may be seen by future regulators as failing to take appropriate security measures to protect personal data and could subject the organization to significant fines under the GDPR as well as the possibility for costly fines and regulatory settlements from the Federal Trade Commission (FTC), Consumer Financial Protection Bureau (CFPB), and state regulators. The risk of the immense amount of personal, financial, and other types of data that could be lost or otherwise compromised in a quantum-driven hack will increase the burden companies face in terms of what is an appropriate security measure. Over the coming years, as the NIST standards are finalized, we will likely see a push across the legislative and regulatory landscape to promote implementation of post-quantum algorithms with regulators looking for (i) privacy, cybersecurity, and IT policies to affirmatively address the quantum threat and detail what the company has done to mitigate it and (ii) physical updates to cryptography practices and IT stacks to fortify data, especially sensitive and personal information.

In April 2022, a bipartisan group of U.S. lawmakers introduced The Quantum Cybersecurity Preparedness Act (the Cybersecurity Act), which would ensure NISTs standards are implemented in all US Federal systems within a year after their release and require the Office of Management and Budget (OMB) to submit a report to Congress on what else is needed to protect quantum computers from hackers. This focus on protecting US government systems will likely spur further legislation and possible regulatory rules requiring similar post-quantum cryptographic standards be instituted across the private sector as well.

Quantum computers also threaten digital signatures, often used to verify identities in a digital transaction or sign documents remotely. While the NIST algorithms address this threat as well, organizations should understand that digital signatures must too be fortified to protect these vital instruments of modern commerce and limit the possibility of widespread identity theft, fraud, and forgery.

These wide-ranging downstream legal consequences must be considered and addressed by business leaders, lawyers, and technologists alike.

5. Quantum Technologies Can Promote Long-Term Cybersecurity

Though the quantum threat to cybersecurity is real with certain data potentially already at risk due to harvest now, decrypt later attacks, the technology must not be seen as the death nail to privacy and cybersecurity. Quantum technologies such as quantum random number generators and quantum key distribution (QKD) can both mitigate the cybersecurity risks posed by quantum computers and strengthen cybersecurity systems that better protect communications and data.

It is paramount to see quantum technologies both as a sword and a shield for cybersecurity. The time is now for organizations to begin the planning and implementation process for post-quantum cryptography while also exploring quantum-enhanced technologies to proactively defend against cyber threats in the quantum age. By taking an all of the above approach investing in different quantum and quantum-enhanced technologies to fortify IT stacks, addressing quantum mitigation measures in policies and programs, and by evaluating quantums pros and cons, organizations can proactively protect their data and limit regulatory scrutiny and legal liability without curbing innovation.

6. You Can Create a Quantum-Safe Organization Today

For organizations, the first steps are to identify vulnerable data and systems and prepare to institute NISTs post-quantum algorithms (and any other government standards regarding quantum cryptographic standards) once they are standardized. Organizations should undertake a quantum-readiness assessment that (i) classifies what data needs protecting and the length of time for which it must be protected and (ii) inventories the types of cryptography protecting critical data. With this information, organizations will be able to label which types of critical data are currently vulnerable to a theoretical quantum attack and can then make necessary plans and investments to ensure that data is adequately protected against both classical and quantum attacks.

Organizations that store financial records, medical records, national security documents, and other sensitive data for long periods of time should immediately consider building post-quantum cryptography into their IT budgets, policies, and strategic planning processes. Failure to start adopting a post-quantum cryptographic strategy could put all existing encrypted data assets at risk of exposure.

The key to protecting data in the quantum age is cryptographic agility which will allow the existing cryptography to be easily swapped out with NIST-approved post-quantum algorithms when they are announced as well as further developments in cryptography and in quantum technologies themselves. This will be a long-term transformation for IT systems akin to Y2K at a larger scale. Integrating an understanding of the quantum threat into policies and programs while also investing the time and resources to begin making systems quantum-safe will be the key to avoiding regulatory scrutiny, protecting sensitive information, and proving to clients, shareholders, and investors that an organization is ready for the quantum age.

Quantum technologies promise a massive impact. As investments and technological evolution continue to increase, organizations must come to terms with quantums vast promise alongside its risks. The cybersecurity danger posed by quantum computing is undeniable. However, rather than fearing quantum technologies, organizations can both seek to address currently intractable business problems via quantum-leveraged solutions and invest in the policy and IT infrastructure necessary to protect data from an attack via a quantum computer. Making this investment in resources now will be the first step in developing the next stage of cybersecurity to protect data long-term both from classical cyberattacks as well as future quantum attacks. Harnessing quantum technologies will be the key to economic growth and building stronger cyber defenses in this dawning age of the technological revolution.

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Welcome to the Quantum Age - 6 Things You Need to Know About Quantum Computing - JD Supra