Sharjah: Artificial Intelligence experts and professionals from government and private sector entities who are integrating AI systems in their operations have shared insights and real-life examples of the transformative power of AI in driving the economic growth of businesses in various sectors during a forum organised by the Sharjah Entrepreneurship Center (Sheraa) recently at its headquarters. The Sheraa AI Forum was held in the presence of HE Major General Saif Al Zari Al Shamsi, Commander-in-Chief of Sharjah Police; H.E. Mohammed Bin Taliah, Chief of Government Services of the UAE Government; Najla Al Midfa, CEO of Sheraa, and a representative of the Minister of State for Artificial Intelligence office, Sharjah Police General Managers, Minister's Office of Artificial Intelligence representative and heads of companies and executives from the government and private sectors. The forum also brought together 150 Emirati youth, entrepreneurs and tech founders to shine light on best practices in the field and the opening of new investment opportunities in the public and private sectors with the ongoing adoption of advanced technologies. During the event, Sharjah Police and Sheraa startups shared their experiences in utilising AI in their products and solutions, noting the transformative power of AI in driving the economic growth of businesses in various sectors. Sheraa AI Forum, which is aligned with the UAE National Strategy for Artificial Intelligence 2031, which includes building work teams to enhance artificial intelligence and formulating joint strategic plans to increase the application of AI mechanisms in various sectors.

TORONTO--(BUSINESS WIRE)--The Big Data and AI Show is the first Canadian event dedicated exclusively to AI, and the economic, strategic, and ethical issues which impact our day-to-day lives. For professionals living and breathing AI, this event will be a chance to take stock and learn from thought leaders in the field. But you don't have to be an expert to join us; the free expo pass means that the show is accessible for all. With over 6,000 prospective attendees to this live event, the show, now in its sixth year, is poised to break former attendance records. On Thursday, October 6th and Friday, October 7th, Toronto will be the epicenter of the global AI ecosystem.

SAN ANTONIO, Aug. 15, 2022 /CNW/ -- Artificial intelligence (AI) will create new revenue and growth opportunities for start-ups and global information and communication technology (ICT) companies, finds Frost & Sullivan's recent analysis, Global Artificial Intelligence (AI) Market. The adoption of AI technologies across industries unleashes innovative business models, drives operational efficiencies, and creates strategic differentiation. Additionally, the pace of digital transformation and AI adoption has accelerated as organizations explore new means of creating sustainable business models and driving customer value. "The move to large-scale AI adoption requires a holistic AI strategy coupled with an ethical and responsible framework to ensure sustainable and long-term adoption," said, ICT Industry Analyst at Frost & Sullivan. "Going forward, deploying AI technologies and operationalizing an ethical AI framework within an organization and throughout the AI development and management life cycle will require a well-defined approach and business as well as the alignment of all technology stakeholders."

Amazon has agreed to buy Cloostermans, a company that makes robots capable of stacking pallets in its warehouses. Amazon says it already uses Belgium-based Cloostermans' tech, which can also package products. After the acquisition closes, Cloostermans' 200 or so employees will join the Amazon Global Robotics division in Europe and likely dedicate their time to solely building tech that suits Amazon's needs. "By focusing Cloostermans's deep experience in engineering, machinery, and robotics, we will more rapidly deploy solutions in our workplace that support employees in their roles and improve safety at work, and also help reduce packaging waste," Amazon said in a press release. The company has previously spoken of its belief that having more robots will improve worker safety.

Equally loved and loathed by consumers nationwide, the Panera Bread fast casual chain has announced that it plans to test out artificial intelligence (AI) at its drive-thru windows for some reason. Per a press release, Panera said that starting this week, it'll be testing an AI system made by the hospitality technology company OpenCity that's named "Tori" -- because the whole thing definitely isn't uncanny valley enough, apparently. Tori, the press release says, will be deployed at two Upstate New York locations and will take orders like a real, live person. An actual human will be the one to take customers' money and hand them their food at the window, but Tori will be the one calling the shots, it seems. "The addition of this technology at the drive-thru will help to cut down wait times, improve order accuracy and allow associates to focus on freshly preparing guests' orders," reads Panera's statement.

It will be doing so for billions more years. Yet, we have only just begun tapping into that abundant, renewable source of energy at affordable cost. Solar absorbers are a material used to convert this energy into heat or electricity. Maria Chan, a scientist in the U.S. Department of Energy's (DOE) Argonne National Laboratory, has developed a machine learning method for screening many thousands of compounds as solar absorbers. Her co-author on this project was Arun Mannodi-Kanakkithodi, a former Argonne postdoc who is now an assistant professor at Purdue University.

Amazon SageMaker provides a suite of built-in algorithms, pre-trained models, and pre-built solution templates to help data scientists and machine learning (ML) practitioners get started on training and deploying ML models quickly. You can use these algorithms and models for both supervised and unsupervised learning. They can process various types of input data, including tabular, image, and text. Starting today, SageMaker provides a new built-in algorithm for image classification: Image Classification – TensorFlow. It is a supervised learning algorithm that supports transfer learning for many pre-trained models available in TensorFlow Hub.

Los Angeles, Sept. 06, 2022 (GLOBE NEWSWIRE) -- The global artificial intelligence (AI) robots market size was valued at USD 9.2 billion in 2021. AI and robotics are different and are used for numerous purposes. The growing acceptance of AI robots in the sector of health care as it supports starting a good link between patients and healthcare professionals. Different industries like healthcare, manufacturing, construction and automobile are progressively accepting industrial automation. AI robots are purposely used to transfer materials in the manufacturing and production industry and also carry several automated responsibilities.

LAS VEGAS--(BUSINESS WIRE)--MORAI, a leading developer of full-stack autonomous vehicle simulation technology in Korea, announced today that it is launching a new simulation platform for aircraft, MORAI SIM Air, at Commercial UAV Expo 2022, held in Las Vegas from September 6 to September 8, 2022. Urban Air Mobility (UAM) is getting attention as a next-generation urban transport system that can solve problems such as increasing urban population and traffic congestion. However, it is essential to establish a safe and stable operating environment as it may create hazards to persons or property in the event of a crash or accident compared to a car. To handle such challenges, MORAI offers simulation tools and solutions for aircraft. The MORAI SIM Air is a simulation solution designed for aircraft such as UAM and UAVs (unmanned aerial vehicles) to verify the system safety of aircraft in realistic virtual spaces.

No longer must solutions to mathematical problems be written in'X' (insert Python/C /R here). With the increasing uptake of integrating AI and optimisation tools in software, it has never been easier for developers to learn more about these topics without having to completely abandon their tech stack. What's more is that this upskilling can be done from the comfort of a .NET application. ML.NET was first released in 2018. It does exactly what the name implies: Machine Learning in .NET.