EPAM Systems, Inc. (NYSE: EPAM), a leading global provider of digital platform engineering and software development services, today announced that it has been named a Diamond Global Business Partner of UiPath, an enterprise Robotic Process Automation (RPA) software company. EPAM and UiPath's partnership will enable its joint customers to increase efficiencies and improve customer experience by leveraging intelligent automation (IA) solutions and UiPath's RPA platform. Forrester recently predicted that, in 2019, automation would become the tip of the digital transformation spear. While early automation implementations focused on cost optimization, this new wave will achieve multiple goals, including driving both customer and employee experience, changing the nature of work, and even empowering the next generation of startup companies. With more than 10 years of business process management, robotics and cognitive expertise, EPAM has over 100 certified UiPath advanced developers as part of its team of more than 700 machine learning and RPA engineers.

Netflix, Siri, and websites that recommend items based on other people's purchase behavior. What do these have in common? These are real-world examples of machine learning being used. Machine learning is the process of teaching machines to recognize patterns by providing them data and an algorithm to work with the data. And it has helped a lot in the field of healthcare in a number of different ways.

BOISE, Idaho: Soaring silently in the sky, the Heron 1 unmanned aerial vehicle (UAV) spots three moving vehicles below suspected to be enemy targets. The UAV feeds real-time video back to a big screen in the command post. Commanders there immediately see red rectangles appear around the vehicles. This is the Automatic Target Detection (ATD) system confirming they are threats. Three F-16 fighter jets are scrambled.

An artificial intelligence (AI) tool--trained on roughly a million screening mammography images--identified breast cancer with approximately 90 percent accuracy when combined with analysis by radiologists, a new study finds. Led by researchers from NYU School of Medicine and the NYU Center for Data Science, the study examined the ability of a type of AI, a machine learning computer program, to add value to the diagnoses reached by a group of 14 radiologists as they reviewed 720 mammogram images. "Our study found that AI identified cancer-related patterns in the data that radiologists could not, and vice versa," says senior study author Krzysztof J. Geras, PhD, assistant professor in the Department of Radiology at NYU Langone. "AI detected pixel-level changes in tissue invisible to the human eye, while humans used forms of reasoning not available to AI," adds Dr. Geras, also an affiliated faculty member at the NYU Center for Data Science. "The ultimate goal of our work is to augment, not replace, human radiologists."

Digitalization is occurring across all manufacturing industries, and the coatings sector is no exception. The quantity of data that can be leveraged to improve all business activities--from new product development to production to customer service--is increasing dramatically. The challenge is to determine where and how to apply technologies such as artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) and how to make the data on hand relevant to the problem or question of interest. These questions and others were considered by members of the coatings value chain and their insights are presented below. What types of Big Data can be leveraged by the coatings industry to facilitate research, development, and innovation in general? Sapper, Cal Poly: We need to be asking three questions when it comes to data needs in our industry. What data do we have? What data do we need? And what questions are we trying to answer? A lot of valuable data already exists, but it is tied up in reports, published literature, or subject matter expertise. The data is there, but not collected in a way that allows helpful artificial intelligence and machine learning projects to be performed. Understanding what type of data is needed for a particular project is the first step in identifying where that data might already exist.

The view from France: "France is a paradise for tech startups: world class engineers, reasonable costs, engaged teams, inspiring environment. The scene here is bursting with activity, especially regarding healthcare, which is incredibly stimulating." "The market is tough, with users mostly risk-averse leading to slow adoption. Raising our Series A was most difficult. Once you have onboard professional investors, it's easier. "In five to ten years the cost will go down to the price of a small car.

One of the technologies we are seeing being trialled and deployed in airports is robotic assistants. The humanoid robots are positioned around the airport terminal assisting passengers with queries and information. By making use of Artificial Intelligence (AI) and Machine Learning, the robots can process large amounts of data, with real-time updates to enable them to provide the latest information to passengers. This technology is starting to be used in some select airports but for different functions. Munich Airport in Germany is using robotic assistants primarily for information.

WASHINGTON – U.S. astronauts Christina Koch and Jessica Meir on Friday became the first female pairing to carry out a spacewalk -- a historic milestone as NASA prepares to send the first woman to the moon. "It symbolizes exploration by all that dare to dream and work hard to achieve that dream," Meir said after the seven-hour and 17-minute spacewalk to replace a power controller on the International Space Station. The mission was originally planned for earlier this year but had to be aborted due to a lack of properly fitting spacesuits, leading to allegations of sexism. Koch and Meir began the walk with standard safety checks on their suits and tethers, before making their way to the repair site on the station's port side as the sunlit Earth came into view. In a call to reporters just a few minutes before, NASA Administrator Jim Bridenstine emphasized the symbolic significance of the day.

With the festive time of the year, everyone is going crazy about the mind-blowing sales going on in Flipkart Big Billion Day and Amazon India Great India Festival Sale. Diwali is celebrated to mark the triumph of Lord Rama over Ravana or the triumph of good over evil. However, for businesses in India, Diwali is the go-to make money festival. It is known as the big Indian Festive Season with eye-popping deals on from apparel, add-ons, shoes, consumer electronics, home appliances, furniture and also traveling. But did we ever imagined, how these e-commerce companies have prepared for these big sale days or how their courier partners are ensuring that last-mile delivery to the customers?

Each of these brand-name voice assistants speaks when spoken to, turning on a smart speaker or other voice-activated device that can answer questions. Voice is rapidly emerging as a hands-free medium consumers use for, well, just about anything -- music, news feeds, hints on removing stains, instructions for mixing cocktails. In homes, people use voice commands to adjust interconnected lights and thermostats, and search for -- and even buy -- products and services. Think of cave dwellers huddled around a fire pit enraptured by hunting tales, or a 1940s nuclear family gathered in front of a radio for the next episode of The Lone Ranger. And until recently, forms of entertainment and media that relied solely on voice seemed to be on the decline.