Had the severity grown to crisis levels, Lucas McDonald, a former TV weatherman who leads the chain's emergency operations, might have called in dozens of workers to support the handful who are posted at the division's command center in 24/7 shifts. The full-house team--typically assembled only a few times a year--would help coordinate relief efforts, adjust supply routes and disseminate information to affected stores, a playbook the company has perfected through two exceptionally hectic hurricane seasons. "Right now, we're having conversations with some of our merchants on when the right time to ship more supplies into places like Florida and the Southeast would be ahead of any possible redevelopment from Dorian after it makes its way through Hispaniola," McDonald says. Meanwhile, in Dallas, meteorologists at Southwest Airlines mapped out contingency plans for rerouting and canceling flights given various possible hurricane scenarios. And in the Atlanta nerve center of IBM-owned Weather Company, forecasters relayed storm data and analysis to corporate clients like State Farm, which in turn used it to inform IBM Watson conversational ad units that spread safety information.

In reporting in China on the country's "Two Sessions," a new anchorwoman "Xin Xiaomeng" was seen. She is a virtual anchor created through the application of artificial intelligence technology. "She" is the first artificial intelligence virtual female anchor in the world, with real anchor of Xinhua News Agency Qu Meng serving as her prototype. She was jointly created by China's Xinhua News Agency and Sogou. "Her" partner, "Xin Xiaohao," upgraded from "sitting upright" to "standing upright," broadcast the content of the Two Sessions with gestures and other body language.

A medical AI expert shares views from his experiences at the seminar. More than 30 local government representatives and experts in academic, medical, and industrial fields were invited to explore the pressing issues, pain points, and future development of artificial intelligence (AI) application in medicine in Nanning, Guangxi Zhuang autonomous region. Held by the Chinese Health Information and Big Data Association (CHIBDA) and the Big Data Development Bureau of Guangxi Zhuang Autonomous Region, the seminar aimed to promote the AI application in medical treatment. Participants conducted a discussion on the challenges encountered in the innovative cooperation of medical AI in its use, production, learning, and research, exploring the cooperation models between AI enterprises and hospitals from various perspectives. Combined with the local conditions in Guangxi, they also provided valuable experience and advice for the development of medical AI.

The report on the Global Deep Learning Software Market offers complete data on the Deep Learning Software market. Components, for example, main players, analysis, size, situation of the business, SWOT analysis, and best patterns in the market are included in the report. In addition to this, the report sports numbers, tables, and charts that offer a clear viewpoint of the Deep Learning Software market. The top Players/Vendors Artelnics, Bright Computing, BAIR, Intel, Cognex, IBM, Keras, Microsoft, VLFeat, NIVIDA, PaddlePaddle, Torch, SignalBox, Wolfram of the global Deep Learning Software market are further covered in the report. The latest data has been presented in the study on the revenue numbers, product details, and sales of the major firms.

Artificial intelligence and machine learning may be ideal for picking up the day-to-day tasks of running enterprises, but still fall flat when it comes to innovation or reacting to unforeseen or one-off events. While enterprise-grade AI is still a ways off, it's incumbent on business and IT leaders to start piloting and exploring the advantages AI potentially offers. That's the word coming out of a recent report from the MIT Task Force on the Work of the Future, which looked at AI as part of a broad range of changes sweeping the employment scene and workplace. "We are a long way from AI systems that can read the news, re-plan supply chains in response to anticipated events like Brexit or trade disputes, and adapt production tasks to new sources of parts and materials," state the report's authors, David Autor of the National Bureau of Economic Research, along with David Mindell and Elisabeth Reynolds, both with MIT. For starters, data – the fuel that propels AI decision-making – is not ready for the leap. Most successful AI initiatives to date are based on machine learning (ML) systems, which depend on large data sets.

Of late, recent news indicates that automation, especially on warehouse floors will cut down jobs. For now, it seems that these technologies have opened doors and opportunities to various job roles. According to sources, the Indian IT industry is expected to add around 2.5 lakh new jobs in 2019, further contributing to the growth of the sector. Areas where an uptake in hiring is expected are computer, mathematical, architecture and engineering-related fields. Currently, some of the prominent roles in demand are software developers, information security analysts, machine learning, mobility, cloud engineer, DevOps, network analyst, data scientist, data analyst, and cybersecurity experts.

WAUKESHA, Wis.--(BUSINESS WIRE)--GE Healthcare today announced the Food and Drug Administration's 510(k) clearance of Critical Care Suite, an industry-first collection of artificial intelligence (AI) algorithms embedded on a mobile X-ray device. Built in collaboration with UC San Francisco (UCSF), using GE Healthcare's Edison platform, the AI algorithms help to reduce the turn-around time it can take for radiologists to review a suspected pneumothorax, a type of collapsed lung. "X-ray – the world's oldest form of medical imaging – just got a whole lot smarter, and soon, the rest of our offerings will too," says Kieran Murphy, President & CEO, GE Healthcare. "GE Healthcare is leading the way in the creation of AI applications for diagnostic imaging and taking what was once a promise and turning it into a reality. By integrating AI into every aspect of care, we will ultimately improve patient outcomes, reduce waste and inefficiencies, and eliminate costly errors. Critical Care Suite is just the beginning."

However, he argues, these are not enough to counter accelerating technological changes allowing greater intrusions of privacy and he calls for a worldwide protest movement, similar to those on climate change. He added: "You have to be ready to stand for something if you want it to change. "That is what I hope this book (Permanent Record) will help people come to decide for themselves." The revelation coincides with the GSMA's announcement that the AI market is projected to reach $70 billion by 2020.

Almost every second of Betty Li's school life is monitored. The 22-year-old student at a university in northwestern China must get through face scanners to enter her dormitory and register attendance, while cameras above the blackboards in her classrooms keep an eye on the students' attentiveness. Like many other educational institutions across the country, the university in Xian, Shaanxi province, deployed AI-powered gates and facial recognition cameras several years ago as a part of the "smart campuses" campaign promoted by the Ministry of Education. Some schools are even exploring ways to use artificial intelligence to analyse the behaviour of teachers and students. The universities are at the forefront of a national effort to lead the world in emerging technologies and move China's economy up the value chain.

Technology tools such as artificial intelligence (AI), machine learning (ML) and cloud-based analytics platforms, along with aggregated "big data" organized into informational dashboards, may have cracked the code for improving worker productivity. Data about how employees work and behave can be analyzed, predicted and subsequently used to drive decisions to allocate resources, monitor performance and make the workplace better. These solutions have evolved to shape the way workers work. Vadim Tabakman is the "technical evangelist" at Nintex, a Bellevue, Wash., firm providing end-to-end process management and workflow automation. He said AI and ML are used in many ways to improve performance by learning employee work patterns and habits.