A team of scientists led by researchers at the University of Georgia Center for Food Safety in Griffin has developed a machine-learning approach that could lead to quicker identification of the animal source of certain Salmonella outbreaks. In the research, published in the January 2019 issue of Emerging Infectious Diseases, Xiangyu Deng and his colleagues used more than a thousand genomes to predict the animal sources, especially livestock, of Salmonella Typhimurium. Deng, an assistant professor of food microbiology at the center, and Shaokang Zhang, a postdoctoral associate with the center, led the project, which also included experts from the Centers for Disease Control and Prevention, the U.S. Food and Drug Administration, the Minnesota Department of Health and the Translational Genomics Research Institute. According to the Foodborne Disease Outbreak Surveillance System, close to 3,000 outbreaks of foodborne illness were reported in the U.S. from 2009 to 2015. Of those, 900 -- or 30 percent -- were caused by different serotypes of Salmonella, including Typhimurium, Deng said.

This year, Europe's banks plan to make technology investments worth in aggregate $77 billion, according to consulting firm Celent. That compares with $105 billion for their U.S. rivals. Faster, more seamless trading systems have long been a priority, but tech spending has shifted across business lines and from back office to front office. It can cover everything from maintaining decades-old systems to cutting-edge artificial intelligence. Unfortunately, European lenders are more focused on patching old systems.

While Americans celebrated a long Labor Day weekend, millions of people in China enrolled in a giant experiment in the future of fake video. An app called Zao that can swap a person's face into movie and TV clips, including from Game of Thrones, went viral on Apple's Chinese app store. The app is popular because making and sharing such clips is fun, but some Western observers' thoughts turned to something more sinister. Zao's viral moment was quickly connected with the idea that US politicians are vulnerable to deepfakes, video or audio fabricated using artificial intelligence to show a person doing or saying something they did not do or say. That threat has been promoted by US lawmakers themselves, including at a recent House Intelligence Committee hearing on deepfakes.

At more than seven decades old, the United Nations has often been criticized for being too slow to respond to crises. But behind the scenes, a high-tech team is harnessing the power of big data and artificial intelligence to predict, monitor and respond to emergencies. CGTN's U.N. correspondent Liling Tan has an inside look at how U.N. Global Pulse is keeping the organization up to speed in the 21st century. Three blocks from the United Nations headquarters in New York, a veritable geek squad of data scientists, analysts and engineers are using big data and artificial intelligence for global good. Or, as U.N. Global Pulse's Director Robert Kirkpatrick puts it, "Our job is to help superheroes find out where people are in trouble, so they can rescue them."

Global Robot Market Size (Sales) Market Share by Type (Product Category) [Industrial Robots, Service Robots] in 2018 Robot Market by Application/End Users [Automotive & Parts, Electronic Information, Machine Tools, Food Industry, Medical, Family Life, Others] Global Robot Sales (Volume) and Market Share Comparison by Applications Global Global Robot Sales and Growth Rate (2014-2025) Robot Competition by Players/Suppliers, Region, Type and Application Robot (Volume, Value and Sales Price) table defined for each geographic region defined. Global Robot Players/Suppliers Profiles and Sales Data Additionally Company Basic Information, Manufacturing Base and Competitors list is being provided for each listed manufacturers Market Sales, Revenue, Price and Gross Margin (2014-2018) table for each product type which include Cost Structure Analysis Key Raw Materials Analysis & Price Trends Supply Chain, Sourcing Strategy and Downstream Buyers, Industrial Chain Analysis ……..and view more in complete table of Contents

A Rochester Institute of Technology professor has earned a prestigious National Science Foundation award to use computers to better understand human behavior and social interaction. Ifeoma Nwogu, an assistant professor of computer science, received an NSF Faculty Early Career Development (CAREER) award and grant for her five-year project. She aims to study human behavior in a new way, by using machine learning techniques to analyze and find patterns in the many signals that individuals display during social interactions. Her work will specifically look at groups working in science, technology, engineering and math (STEM), with the aim of supporting underrepresented groups in STEM. "In a conversation, people are constantly displaying and processing different non-verbal signals, such as how fast someone is talking or the facial expressions they are making," said Nwogu.

Called FARM (Financial and Agricultural Recommendation Models) and delivered in partnership with social enterprise Agrics, the project is providing more than 200,000 small-scale farmers in Kenya with the hardware and software they need to analyse big data regarding issues such as weather patterns and soil quality. The platform uses AI to "intelligently" collect and process the data, before providing the user with personalised insights and recommendations to optimise crop yield and eliminate inefficiencies. In sustainability terms, results of acting on the recommendations are likely to be better water management, the use of less fertiliser, the generation of less food waste throughout the value chain and improved incomes for farmers.

A doctor in India has performed a series of five percutaneous coronary intervention (PCI) procedures on patients who were 20 miles away from him. The feat was pulled off using a precision vascular robot developed by Corindus. The results of the surgeries, which were successful, have just been published in EClinicalMedicine, a spin-off of medical journal The Lancet. The feat is an example of telemedicine, an emerging field that leverages advances in networking, robotics, mixed reality, and communications technologies to beam in medical experts to remote locations for everything from consultations to surgical procedures. Telemedicine, which could decentralize healthcare by distributing doctors into local communities virtually, could ease shortages of nurses and doctors and potentially cut healthcare costs.

Sign in to report inappropriate content. Hear from Akshaya Bhargava and Bruce Keith--Bridgeweave's Founder and COO--as they discuss challenges in the space of Wealth Management and FinTech and how AI will enhance customer experience.

CAPE TOWN – One of the major drivers of the Fourth Industrial Revolution (4IR) or the age of intelligentisation is the major advances in Artificial Intelligence (AI) that are supporting and even taking over from humans in many situations. AI is increasingly replacing humans where knowledge could be learned or the decision-making formula is known. It is in particular the AI abilities of machine learning and deep learning that makes AI so powerful in numerous fields. Machine learning refers to the ability of computer systems to learn by itself and to adapt accordingly, allowing them to perform a specific task without explicit instructions. In the Business Report of last Friday I illustrated that AI even transforms the disciplines based on "human touch" such as social work and is used to predict successful youth influencers in an HIV campaign; match homeless people with the best-suited housing and most effective social interventions; and select vulnerable families and children in need of intervention.