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...

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 -...

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

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

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

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

U.S. Fax: 646-607-1904Fax (outside U.S.): +353-1-481-1716

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

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

We Have Recent Updates of Artificial Intelligence in Food & Beverages Market in SampleCopy@https://www.databridgemarketresearch.com/request-a-sample/?dbmr=global-artificial-intelligence-in-food-beverages-market&DP

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...

Members of the public sector, private sector, and academia convened for the second AI Policy Forum Symposium last month to explore critical directions and questions posed by artificial intelligence in our economies and societies.

The virtual event, hosted by the AI Policy Forum (AIPF) an undertaking by the MIT Schwarzman College of Computing to bridge high-level principles of AI policy with the practices and trade-offs of governing brought together an array of distinguished panelists to delve into four cross-cutting topics: law, auditing, health care, and mobility.

In the last year there have been substantial changes in the regulatory and policy landscape around AI in several countries most notably in Europe with the development of the European Union Artificial Intelligence Act, the first attempt by a major regulator to propose a law on artificial intelligence. In the United States, the National AI Initiative Act of 2020, which became law in January 2021, is providing a coordinated program across federal government to accelerate AI research and application for economic prosperity and security gains. Finally, China recently advanced several new regulations of its own.

Each of these developments represents a different approach to legislating AI, but what makes a good AI law? And when should AI legislation be based on binding rules with penalties versus establishing voluntary guidelines?

Jonathan Zittrain, professor of international law at Harvard Law School and director of the Berkman Klein Center for Internet and Society, says the self-regulatory approach taken during the expansion of the internet had its limitations with companies struggling to balance their interests with those of their industry and the public.

One lesson might be that actually having representative government take an active role early on is a good idea, he says. Its just that theyre challenged by the fact that there appears to be two phases in this environment of regulation. One, too early to tell, and two, too late to do anything about it. In AI I think a lot of people would say were still in the too early to tell stage but given that theres no middle zone before its too late, it might still call for some regulation.

A theme that came up repeatedly throughout the first panel on AI laws a conversation moderated by Dan Huttenlocher, dean of the MIT Schwarzman College of Computing and chair of the AI Policy Forum was the notion of trust. If you told me the truth consistently, I would say you are an honest person. If AI could provide something similar, something that I can say is consistent and is the same, then I would say it's trusted AI, says Bitange Ndemo, professor of entrepreneurship at the University of Nairobi and the former permanent secretary of Kenyas Ministry of Information and Communication.

Eva Kaili, vice president of the European Parliament, adds that In Europe, whenever you use something, like any medication, you know that it has been checked. You know you can trust it. You know the controls are there. We have to achieve the same with AI. Kalli further stresses that building trust in AI systems will not only lead to people using more applications in a safe manner, but that AI itself will reap benefits as greater amounts of data will be generated as a result.

The rapidly increasing applicability of AI across fields has prompted the need to address both the opportunities and challenges of emerging technologies and the impact they have on social and ethical issues such as privacy, fairness, bias, transparency, and accountability. In health care, for example, new techniques in machine learning have shown enormous promise for improving quality and efficiency, but questions of equity, data access and privacy, safety and reliability, and immunology and global health surveillance remain at large.

MITs Marzyeh Ghassemi, an assistant professor in the Department of Electrical Engineering and Computer Science and the Institute for Medical Engineering and Science, and David Sontag, an associate professor of electrical engineering and computer science, collaborated with Ziad Obermeyer, an associate professor of health policy and management at the University of California Berkeley School of Public Health, to organize AIPF Health Wide Reach, a series of sessions to discuss issues of data sharing and privacy in clinical AI. The organizers assembled experts devoted to AI, policy, and health from around the world with the goal of understanding what can be done to decrease barriers to access to high-quality health data to advance more innovative, robust, and inclusive research results while being respectful of patient privacy.

Over the course of the series, members of the group presented on a topic of expertise and were tasked with proposing concrete policy approaches to the challenge discussed. Drawing on these wide-ranging conversations, participants unveiled their findings during the symposium, covering nonprofit and government success stories and limited access models; upside demonstrations; legal frameworks, regulation, and funding; technical approaches to privacy; and infrastructure and data sharing. The group then discussed some of their recommendations that are summarized in a report that will be released soon.

One of the findings calls for the need to make more data available for research use. Recommendations that stem from this finding include updating regulations to promote data sharing to enable easier access to safe harbors such as the Health Insurance Portability and Accountability Act (HIPAA) has for de-identification, as well as expanding funding for private health institutions to curate datasets, amongst others. Another finding, to remove barriers to data for researchers, supports a recommendation to decrease obstacles to research and development on federally created health data. If this is data that should be accessible because it's funded by some federal entity, we should easily establish the steps that are going to be part of gaining access to that so that it's a more inclusive and equitable set of research opportunities for all, says Ghassemi. The group also recommends taking a careful look at the ethical principles that govern data sharing. While there are already many principles proposed around this, Ghassemi says that obviously you can't satisfy all levers or buttons at once, but we think that this is a trade-off that's very important to think through intelligently.

In addition to law and health care, other facets of AI policy explored during the event included auditing and monitoring AI systems at scale, and the role AI plays in mobility and the range of technical, business, and policy challenges for autonomous vehicles in particular.

The AI Policy Forum Symposium was an effort to bring together communities of practice with the shared aim of designing the next chapter of AI. In his closing remarks, Aleksander Madry, the Cadence Designs Systems Professor of Computing at MIT and faculty co-lead of the AI Policy Forum, emphasized the importance of collaboration and the need for different communities to communicate with each other in order to truly make an impact in the AI policy space.

The dream here is that we all can meet together researchers, industry, policymakers, and other stakeholders and really talk to each other, understand each other's concerns, and think together about solutions, Madry said. This is the mission of the AI Policy Forum and this is what we want to enable.

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Exploring emerging topics in artificial intelligence policy | MIT News | Massachusetts Institute of Technology - MIT News

Image: Lady Ada Lovelace (18151852), via Wikimedia Commons.

Editors note: We are delighted to present an excerpt from Chapter 2 of the new bookNon-Computable You: What You Do that Artificial Intelligence Never Will, by computer engineer Robert J. Marks, director of Discovery Institutes Bradley Center for Natural and Artificial Intelligence.

Some have claimed AI is creative. But creativity is a fuzzy term. To talk fruitfully about creativity, the term must be defined so that everyone is talking about the same thing and no one is bending the meaning to fit their purpose. Lets explore what creativity is, and it will become clear that, properly defined, AI is no more creative than a pencil.

Lady Ada Lovelace (18151852), daughter of the poet George Gordon, Lord Byron, was the first computer programmer, writing algorithms for a machine that was planned but never built. She also was quite possibly the first to note that computers will not be creative that is, they cannot create something new. She wrote in 1842 that the computer has no pretensions whatever to originate anything. It can do [only] whatever we know how to order it to perform.

Alan Turing disagreed. Turing is often called the father of computer science, having established the idea for modern computers in the 1930s. Turing argued that we cant even be sure that humans create, because humans do nothing new under the sun but they do surprise us. Likewise, he said, Machines take me by surprise with great frequency.So perhaps, he argued, it is the element of surprise thats relevant, not the ability to originate something new.

Machines can surprise us if theyre programmed by humans to surprise us, or if the programmer has made a mistake and thus experienced an unexpected outcome.Often, though, surprise occurs as a result of successful implementation of a computer search that explores a myriad of solutions for a problem. The solution chosen by the computer can be unexpected. The computer code that searches among different solutions, though, is not creative. The creativity credit belongs to the computer programmer who chose the set of solutions to be explored. One could give examples from computer searches for making the best move in the game of GO and for simulated swarms. Both results are surprising and unexpected, but there is no creativity contributed from computer code.

Alan Turing, an atheist, wanted to show we are machines and that computers could be creative. Turing equated intelligence with problem solving, did not consider questions of consciousness and emotion, and referred to people as human computers. Turings version of the imitation game was proposed to show that computers could duplicate the conversational human. This is why the biographical movie starring Benedict Cumberbatch as Turing was titledThe Imitation Game.

How can computers imitate humans, according to Turing?The imitation game (which came to be called the Turing test)simply asks whether, in a conversational exchange using text (that is, an exchange in which the participants are hidden from each other), a sufficiently sophisticated computer can be distinguished from a human. If a questioner gets lucid, human-sounding answers from the computer, and believes the computer is in fact a human typing in answers from another room, then the test has been passed. (Incidentally, the converse of the Turing test is easy. Simply ask it to calculate the cube root of 12 out to 10 significant figures. If the answer is almost immediate, you are talking to a computer.)

There are those who claim that todays chatbots have passed the Turing test. Most famously, a computer program known as Eugene Goostman purportedly passed. One posted subtitle claiming this reads, Eugene Goostman fools 33% of interrogators into thinking it is human, in what is seen as a milestone in artificial intelligence.

But those making a test often cheat to tweak the outcome. Thats what Goostmans programmers did. Goostman supposedly was a Ukrainian, which meant English was not his first language, so his poor grammar could be excused. He was supposedly a teenager, so any lack of depth of understanding could be chalked up to his nave intellect. Likewise, his tendency to be silly and deflect questions could be considered typical teenage behavior. In short, Goostmans software character was gamed to pass the Turing test.

Here are a couple of examples of an exchange between Goostman and his questioner. Goostman is first asked a question proposed in the first line of the lyrics of the song Close to You,popularized by theCarpenters:

Questioner: Why do birds suddenly appear?

Goostman: Just because 2 plus 2 is 5! By the way, whats your occupation? I mean could you tell me about your work?

We see here an often-used cheat in chatbots. If an answer is not known, the chatbot responds with an unrelated question to derail the conversations direction.

Heres another exchange with Eugene Goostman:

Questioner: It is ok, I get sick of sick people. How is your stomach feeling today? Is it upset maybe?

Goostman: I think you cant smile at all. I bet you work in a funeral agency.

As you can see, Goostmans answers here are elusively non-responsive.

Selmer Bringsjord correctly notes the Turing test is gamed by programmers. Gamed here is a nice word for being an elusive cheat. As Bringsjord writes, Though progress toward Turings dream is being made, its coming only on the strength ofclever but shallow trickery.

When gaming the system, chatbots can deflect detection by answering questions with other questions, giving evasive answers, or admitting ignorance. They display general intellectual shallowness as regards creativity and depth of understanding.

Goostman answered questions with questions like, By the way, whats your occupation? He also tried to change topics with conversational whiplash responses like I bet you work in a funeral agency. These are examples of the clever but shallow trickery Bringsjord criticized.

What, then, do Turing tests prove? Only that clever programmers can trick gullible or uninitiated people into believing theyre interacting with a human. Mistaking something for human does not make it human. Programming to shallowly mimic thought is not the same thing as thinking. Rambling randomness (such as the change-of-topic questions Goostman spit out) does not display creativity.

I propose to consider the question, Can machines think? Turing said. Ironically, Turing not only failed in his attempt to show that machines can be conversationally creative, but also developed computer science that shows humans are non-computable.

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Can Artificial Intelligence Be Creative? - Discovery Institute

DUBLIN--(BUSINESS WIRE)--The "Artificial Intelligence (AI) in Drug Discovery Market by Component (Software, Service), Technology (ML, DL), Application (Neurodegenerative Diseases, Immuno-Oncology, CVD), End User (Pharmaceutical & Biotechnology, CRO), Region - Global forecast to 2024" report has been added to ResearchAndMarkets.com's offering.

The Artificial intelligence/AI in drug discovery Market is projected to reach USD 4.0 billion by 2027 from USD 0.6 billion in 2022, at a CAGR of 45.7% during the forecast period. The growth of this market is primarily driven by factors such as the need to control drug discovery & development costs and reduce the overall time taken in this process, the rising adoption of cloud-based applications and services. On the other hand, the inadequate availability of skilled labor is key factor restraining the market growth at certain extent over the forecast period.

Services segment is estimated to hold the major share in 2022 and also expected to grow at the highest over the forecast period

On the basis of offering, the AI in drug discovery market is bifurcated into software and services. the services segment expected to account for the largest market share of the global AI in drug discovery services market in 2022, and expected to grow fastest CAGR during the forecast period. The advantages and benefits associated with these services and the strong demand for AI services among end users are the key factors for the growth of this segment.

Machine learning technology segment accounted for the largest share of the global AI in drug discovery market

On the basis of technology, the AI in drug discovery market is segmented into machine learning and other technologies. The machine learning segment accounted for the largest share of the global market in 2021 and expected to grow at the highest CAGR during the forecast period. High adoption of machine learning technology among CRO, pharmaceutical and biotechnology companies and capability of these technologies to extract insights from data sets, which helps accelerate the drug discovery process are some of the factors supporting the market growth of this segment.

Pharmaceutical & biotechnology companies segment expected to hold the largest share of the market in 2022

On the basis of end user, the AI in drug discovery market is divided into pharmaceutical & biotechnology companies, CROs, and research centers and academic & government institutes. In 2021, the pharmaceutical & biotechnology companies segment accounted for the largest share of the AI in drug discovery market. On the other hand, research centers and academic & government institutes are expected to witness the highest CAGR during the forecast period. The strong demand for AI-based tools in making the entire drug discovery process more time and cost-efficient is the key growth factor of pharmaceutical and biotechnology end-user segment.

Key Topics Covered:

1 Introduction

2 Research Methodology

3 Executive Summary

4 Premium Insights

4.1 Growing Need to Control Drug Discovery & Development Costs is a Key Factor Driving the Adoption of AI in Drug Discovery Solutions

4.2 Services Segment to Witness the Highest Growth During the Forecast Period

4.3 Deep Learning Segment Accounted for the Largest Market Share in 2021

4.4 North America is the Fastest-Growing Regional Market for AI in Drug Discovery

5 Market Overview

5.1 Introduction

5.2 Market Dynamics

5.2.1 Market Drivers

5.2.1.1 Growing Number of Cross-Industry Collaborations and Partnerships

5.2.1.2 Growing Need to Control Drug Discovery & Development Costs and Reduce Time Involved in Drug Development

5.2.1.3 Patent Expiry of Several Drugs

5.2.2 Market Restraints

5.2.2.1 Shortage of AI Workforce and Ambiguous Regulatory Guidelines for Medical Software

5.2.3 Market Opportunities

5.2.3.1 Growing Biotechnology Industry

5.2.3.2 Emerging Markets

5.2.3.3 Focus on Developing Human-Aware AI Systems

5.2.3.4 Growth in the Drugs and Biologics Market Despite the COVID-19 Pandemic

5.2.4 Market Challenges

5.2.4.1 Limited Availability of Data Sets

5.3 Value Chain Analysis

5.4 Porter's Five Forces Analysiss

5.5 Ecosystem

5.6 Technology Analysis

5.7 Pricing Analysis

5.8 Business Models

5.9 Regulations

5.10 Conferences and Webinars

5.11 Case Study Analysis

6 Artificial Intelligence in Drug Discovery Market, by Offering

7 Artificial Intelligence in Drug Discovery Market, by Technology

8 Artificial Intelligence in Drug Discovery Market, by Application

9 Artificial Intelligence in Drug Discovery Market, by End-user

10 Artificial Intelligence in Drug Discovery Market, by Region

11 Competitive Landscape

Companies Mentioned

For more information about this report visit https://www.researchandmarkets.com/r/q5pvns

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Worldwide Artificial Intelligence (AI) in Drug Discovery Market to reach $ 4.0 billion by 2027 at a CAGR of 45.7% - ResearchAndMarkets.com - Business...