The value of data is increasing, and that value is stimulating the Internet of Things (IoT) Advanced Analytics Market, with the emergence of accessible out-of-the-box and off-the-shelf machine learning (ML) and artificial intelligence (AI) solutions. Vendors are now easing access to ML and AI toolsets by expanding availability through deployment options that include the edge, on-premises, cloud, Platform-as-a-Service (PaaS), and Software-as-a-Service (SaaS). Global tech market advisory firm, ABI Research, finds that the IoT ML and AI market will reach US$1.09 billion in 2020 and grow to US$10.6 billion in 2026. Edge ML/AI is more prevalent in manufacturing and industrial segments, where there is an immediate need to assess, transform and augment data as it is being generated through functions of quick pattern recognition, labeling, and protocol optimization. "The IoT Edge Advanced Analytics Market is essentially operationalized ML and AI products and services targeted at Operational Technology (OT) teams to understand and extract insights," explains Kateryna Dubrova, Research Analyst at ABI Research.

By Reuters Staff1 Min Read(Reuters) – The Trump administration announced on Friday that the United States and the United Kingdom had signed a new agreement to cooperate on research and development of artificial intelligence."This

Since 2014, Amazon has touted the efficiency and safety benefits of its new automated fulfillment centers where robots assist human workers in processing packages. But it turns out automation may be doing far more harm to the company's employees than Amazon has led the public and lawmakers to believe. In a new report, the Center for Investigative Reporting's Reveal publication found that between 2016 and 2019, the rate at which Amazon employees sustained serious injuries was 50 percent higher at warehouses where the company has robots that at ones where it does not. Those facilities have among the highest rates of employee injuries of any of Amazon's warehouses. Last year, for instance, a fulfillment center south of Amazon's Seattle headquarters called BFI3 had a rate of 22 serious injuries for every 100 workers.

MetroLab Network has partnered with Government Technology to bring its readers a segment called the MetroLab Innovation of the Month Series, which highlights impactful tech, data and innovation projects underway between cities and universities. If you'd like to learn more or contact the project leads, please contact MetroLab at info@metrolabnetwork.org for more information. In this month's installment of the Innovation of the Month series, we explore the work of Julia Stoyanovich, an assistant professor of Computer Science, Engineering, and Data Science at New York University, and Falaah Arif Khan from Data, Responsibly, who are creating comics designed to increase awareness of responsible data science. MetroLab's Ben Levine spoke with the two about the background and development of their project. Ben Levine: Can you tell us about the origin of the Data, Responsibly project and who has been involved in it?

Stuart Russell was born in 1962 in Portsmouth, England. He received his B.A. with first-class honours in physics from Oxford University in 1982, and his Ph.D. in computer science from Stanford in 1986. He then joined the faculty of the University of California at Berkeley, where he is a professor and former chair of computer science, director of the Center for Human-Compatible AI, and holder of the Smith–Zadeh Chair in Engineering. In 1990, he received the Presidential Young Investigator Award of the National Science Foundation, and in 1995 he was co-winner of the Computers and Thought Award. He is a Fellow of the American Association for Artificial Intelligence, the Association for Computing Machinery, and the American Association for the Advancement of Science, and Honorary Fellow of Wadham College, Oxford, and an Andrew Carnegie Fellow.

The region expects to collect almost 15% of its GDP – roughly $95b – by 2030 from its growing AI industry. Toward this end, it has invested heavily in the sector. To actualize the goal, UAE created the position of'Minister of State for AI' in 2017 to boost citizens' participation in the technological drive. This is a clear indication that the government wants to hold a firm grip on disruptive technology. Omar bin Sultan Al Olama, the current Minister of State for AI, recently advocated for the technology in an interview.

In a Thursday event unveiling a slew of new home devices ahead of the holidays, Amazon made clearer than ever its determination to flood America with cameras, microphones and the voice of Alexa, its AI assistant. The big picture: Updating popular products and expanding its range to car alarms and in-home drones, Amazon extended its lead in smart home devices and moved into new areas including cloud gaming and car security. The new offerings will also fuel criticism that the tech giant is helping equip a society built around surveillance.

With rapid advancements in technology creation and application, it is imperative to skill the future workforce on new-age skills to ensure inclusive economic growth and social development. Comprehensive Integrated Border Management System (CIBMS) started as a pilot program focused on electronic surveillance system. The project was initiated in July 2018 and is ... Government of India, along with Microsoft, has begun empowering small-holder farmers in India to increase income through higher crop yield and greater price control using AI ...

The market for AI (artificial intelligence) technologies is going to expand tremendously in the next decade. Grand View Research says the global AI market will reach $733.7 billion by 2027, growing at a CAGR (compound annual growth rate) of 42.2%. One of the many sectors that will increasingly look to leverage AI technologies between now and 2027 (and beyond) is first response. In fact, in some cases, the first-response industry is already engaged in piloting AI technologies for use on the front lines. What AI-related innovations are to come, and how will they make first responders' jobs easier?

The mathematician and computer science pioneer Alan Turing hit on a promising direction for artificial intelligence research way back in 1950. "Instead of trying to produce a program to simulate the adult mind," he wrote, "why not rather try to produce one which simulates the child's?" Now AI researchers are finally putting Turing's ideas into action. They're realizing that by paying attention to how children process information, they can pick up valuable lessons about how to create machines that learn. DARPA, the Defense Department's advanced research agency, is embracing this approach.