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Dubai school ties up with MIT for first-of-its-kind artificial intelligence curriculum

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Under the project, students will learn a customised version -- unique to the project -- of the popular programming language Scratch. They will also use MIT App Inventor that runs on Android devices and work on developing a robot kit in conjunction with Chromebooks. Students will study CT (computational thinking), the cornerstone computer science discipline that renders complex problems simple so that humans and computers can understand the possible solutions. This includes'pattern recognition', looking for similarities among data, and writing algorithms -- a step-by-step guide to solving a problem or task. Pupils will also learn skills such as'debugging' to identify and remove software or hardware errors and practises like'tinkering' to innovate and build on experimental models or prototypes.


UAE, Israeli educational institutions sign artificial intelligence MoU: WAM

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DUBAI (Reuters) - The United Arab Emirates' Mohamed Bin Zayed University of Artificial Intelligence and Israel's Weizmann Institute of Science have agreed to work together, UAE state news agency WAM said on Sunday. The memorandum of understanding follows the UAE's decision a month ago to normalize relations with Israel. Both countries have said they hope normalised ties will bring economic and technological benefits. The MoU is the first signed between Israeli and UAE higher education bodies, WAM said, intending to "advance the development and use of artificial intelligence as a tool for progress". Spheres of possible collaboration include academic exchanges, conferences, sharing computing resources and the establishment of a joint virtual institute for artificial intelligence, WAM said.


Machine learning helps Dubai plan better bus routes - Cities Today - Connecting the world's urban leaders

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Dubai's Roads and Transport Authority (RTA) is exploring the use of artificial intelligence (AI) to plot more efficient bus routes based on how they are used throughout the day. Machine learning (ML) algorithms could eventually inform updates to 150 routes used by 2,158 buses across Dubai, the RTA said. The authority trialled the system on ten public bus routes over thirty days, using Nol Card (Dubai's public transport smart card) data to understand patterns such as which bus stops were busy all day, which were primarily used during peak hours and those that were rarely used. The one-month trial cut wasted time on bus routes by 13.3 percent, the RTA reports. Ahmed Mahboub, Executive Director of Smart Services, Corporate Technology Support Services Sector, RTA, commented: "By using machine learning algorithms in analysing the captured data, departments can build up systems and take decisions with reference to abolishing certain stops, or proposing an express service that skips those stops, while ensuring customer needs are always addressed. Such a process will contribute to improving this vital service."


RTA experiments with AI, machine learning algorithms in bus routes

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A bus waits at a stop in Dubai. Dubai's Roads and Transport Authority (RTA) has started experimenting the use of artificial intelligence (AI) technologies (machine learning algorithms) in plotting bus routes in Dubai, based on the extent of usage throughout the day. The step is part of RTA's endeavours to apply technology in saving the time and effort of all parties and improving the experience of public transport riders. "The use of artificial intelligence technology, such as machine learning algorithms, in planning the routes of public buses aims to revamp the planning of 150 routes used by 2,158 buses all over Dubai. During a trial period, RTA experimented the use of technology on 10 routes where nol card data was employed to figure out all-day busy bus stops, stops used during peak hours, and rarely used stops," said Ahmed Mahboub, Executive Director of Smart Services, Corporate Technology Support Services Sector, RTA.


RTA uses AI, Machine Learning in planning bus routes based on usage

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Dubai's Roads and Transport Authority (RTA) has started experimenting the use of artificial intelligence (AI) technologies (machine learning …


Unlocking Public Sector Artificial Intelligence

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Guidelines for the responsible and effective procurement of artificial intelligence by governments to better meet the needs of citizens and enhance public servicesThe challenge Artificial intelligence (AI) holds the potential to vastly improve government operations and help meet the needs of citizens in new ways, ranging from traffic management to healthcare delivery to processing tax forms. But most public institutions have not yet adopted this powerful technology. While public sector officials are increasingly aware of the transformational impact of data and AI-powered solutions, the data needed for AI solutions to be developed and deployed is often neither accessible nor discoverable. Public sector officials may also lack the appropriate knowledge and expertise to make strategic buying decisions for AI-powered tools. Uncertainty about ethical considerations adds further layers of complexity. As a result, officials tend to delay buying decisions, or reduce perceived risk by concentrating their purchasing on a few known suppliers. The opportunity The World Economic Forum’s Centre for the Fourth Industrial Revolution has brought together a multistakeholder community to co-design the AI Procurement in a Box toolkit guide for governments to rethink their public procurement processes:  IntroductionGuidelines for AI procurement, presenting the general considerations to be taken when government is procuring AI-powered solutionsWorkbook for policy and procurement officials guiding them through the guidelines ChallengesPilot case studiesThis guidance aims to empower government officials to more confidently make responsible AI purchasing decisions. The tools also improve the experience for AI solutions providers by supporting the creation of transparent and innovative public procurement processes that meet their needs. Impact By co-designing these guidelines with governments, small and large businesses, civil society and academia, the intended impact is the responsible deployment of AI solutions for the public benefit of constituents. Leveraging the significant purchasing power of government in the market, the private-sector adoption of the guidelines can permeate the industry beyond the adoption by public sector organizations. Embedding the principles advocated for in the guidelines into administrative processes will also expand opportunities for new entrants and create a more competitive environment for the ethical development of AI. Further, as industry debates its own standards on these technologies, the government’s influence can help set a baseline for the harmonization of standards-setting. Project accomplishments  March–September 2019: Policy development – the World Economic Forum worked with fellows from the public and private sectors, and a multistakeholder group that also included academia and civil society organizations, to create action-orientated guidelines for government procurement of AI. October–March 2020: Pilot and Iteration – the project team validated guidelines through feedback sessions and a pilot project with the United Kingdom government, the Dubai Electricity and Water Authority and the Government of Bahrain. June 2020: Publication of the AI Procurement in a Box guide that will allow governments to effectively learn and adopt the best practices developed.Contact information For more information, contact Kay Firth-Butterfield, Head of AI and Machine Learning, World Economic Forum, at Kay.Firth-Butterfield@weforum.org.


UAE's American Hospital of Dubai to utilize Blockchain

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Gulf News recently interviewed Sherif Beshara, Group CEO – Mohamed and Obaid Almulla Group of Companies, which operates American Hospital Dubai, about impact of emerging healthcare technologies one of which is blockchain. According to Beshara, the American Hospital in Dubai has started their journey utilizing AI, data analytics, for enahnced health outcomes, patient experience, health surveillance and operational efficiencies. American Hospital Dubai signed an agreement with Cerner to develop and launch the first AI research lab in the region with the goal to provide a surveillance platform and enhance patient care and experience.


Dataiku Raises $100 Million To Extend Leadership In Enterprise AI Market

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"Our leadership in enterprise AI continues to attract world-class investors who understand that Dataiku's solution and customer base are truly global and that we're uniquely positioned to help businesses realize the untapped potential for AI to transform the enterprise," said Florian Douetteau, co-founder and CEO of Dataiku. "In a global business market rocked by the changes 2020 has brought, AI has proven to be a critical element of organizational success driving business growth in every major vertical market." Dataiku was founded in 2013 with the mission to take machine learning and AI projects out of experimental labs and put them into everyday operations that are truly woven into the fabric of a company. Dataiku serves hundreds of customers worldwide, including Schlumberger, GE Aviation, Sephora, Unilever, BNP Paribas, Premera Blue Cross, Kuka, and Santander. Its team has grown to more than 450 people worldwide in New York, Paris, London, Frankfürt, Dubai, Amsterdam, Sydney, and Singapore.


UAE's AI-focused university sees tech as a global positive force

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DUBAI: The idea of artificial intelligence (AI) has been around for a long time, but in recent decades it has gone from being the stuff of science fiction to something tangible and beneficial. Sir Michael Brady is the interim president of the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), an Abu Dhabi-based AI-focused university -- the first of its kind in the world. "Stephen Hawking, Elon Musk, Microsoft, Google, Facebook and many more have contributed to AI's position in today's spotlight," he said. He added: "We have moved from the use of AI in large-scale industry or ground-breaking circumstances, such as NASA space exploration or factory robotics, to commonplace applications such as advertising algorithms or Netflix suggesting what show to watch next." As society transforms under the impact of technology, AI is also rapidly evolving.


Goodbye to bartenders: Robots could soon make your drink – IAM Network

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While there seems to be a new video every day of maskless youth blithely partying outside (and inside) bars, many people have actually been drinking less during the pandemic. Half of Americans say they aren't excited at all about heading back to their favorite watering hole -- or any bar for that matter.Indeed, fear of enclosed spaces and sloppy, less-than-socially distanced crowds may change drinking culture for a long time to come. It's already threatening the future of your friendly bartender.Countertop cocktail makers have been available for years. Larger-scale commercial options have been mixing drinks and entertainment, using robotic arms to whirl and shake cocktails in clubs from Europe to Dubai and aboard cruise ships. But the pandemic may have opened the door to a bigger stage. A woman placing her pink face mask down on an empty bar and clinking glasses with a robotic bartender was not your typical drinking ad before COVID-19.