Robots from all over the world are about to go on a subterranean adventure, competing against each other in mining tunnels to determine which ones can best navigate and find objects underground and do so autonomously. The Defense Advanced Research Projects Agency (DARPA) is hosting the Subterranean Challenge Systems Competition on Aug. 15-22 in Pittsburgh as a way to develop technology for the military and first responders to map and search subterranean areas. A team led by NASA's Jet Propulsion Laboratory (JPL) will be one of 11 teams taking part in the competition with wheeled rovers, drones and climbing robots that can rise on pinball-flipper-shaped treads to scale obstacles, NASA officials said in a statement. A team from NASA's Jet Propulsion Laboratory is taking part in the underground competition on August 15-22. The same technology applied in the competition underground can also be utilized in space for future NASA missions that explore caves and lava tubes on other planets.

Fox News Flash top headlines for Sept. 10 are here. Check out what's clicking on Foxnews.com Pop superstar Taylor Swift apparently tried to stop Microsoft from calling its chatbot Tay after the AI-powered bot morphed into a racist troll, according to Microsoft President Brad Smith. In his new book, Tools and Weapons, Smith wrote about what happened when his company introduced a new chatbot in March 2016 that was meant to interact with young adults and teenagers on social media. "The chatbot seems to have filled a social need in China, with users typically spending fifteen to twenty minutes talking with XiaoIce about their day, problems, hopes, and dreams," Smith and his co-author wrote in the book.

Virtus Entella is the first Italian soccer organization that will use Zone7, an artificial intelligence application for the detection and prevention of injuries and performance optimization. The football Club based in Chiavari, Italy, once again leverage the close relationship and synergy with Wylab, the first Italian sports tech incubator, to experiment with innovative technologies and solutions with the aim to improve the team performances. Zone7 is an artificial intelligence tool that crunches players performance, physiology and medical big data (tracking/GPS, bio-mechanical, athletic, sleep, saliva, blood, etc.) and enables the team staff to mitigate injuries, events that are typical of all professional sports and have huge financial and emotional costs for football clubs all over the world. The teams using Zone7 are able to identify the correlations between injuries and the performance data thus improving their players and team results. Zone7 not only notifies users (coaches and fitness trainers) – via a dedicated mobile app – of the injury risk levels for all players in the quad, but provides actionable insights on the risk factors, causes and kind of injuries and, most of all, offers recommendations to adapt the work load to the current state of health of the athletes in order to bring her/him back to the safe zone.

'Alexa, what are the early signs of a stroke?' GPs may no longer be the first port of call for patients looking to understand their ailments. 'Dr Google' is already well established in patients' minds, and now they have a host of apps using artificial intelligence (AI), allowing them to input symptoms and receive a suggested diagnosis or advice without the need for human interaction. And policymakers are on board. Matt Hancock is the most tech-friendly health secretary ever, NHS England chief executive Simon Stevens wants England to lead the world in AI, and the prime minister last month announced £250m for a national AI lab to help cut waiting times and detect diseases earlier. Amazon even agreed a partnership with NHS England in July to allow people to access health information via its voice-activated assistant Alexa.

Artificial intelligence researchers have long dreamed of building a computer as knowledgeable and communicative as the one in Star Trek, which could interact with humans in natural (i.e., human) language. Last week, we seemed to boldly go toward that ideal. The New York Times reported that a team at the Allen Institute for Artificial Intelligence (AI2) had achieved "an artificial-intelligence milestone." AI2's program, Aristo, not only passed but also excelled on a standardized eighth-grade science test. The machine, the Times heralded, "is ready for high school science. Melanie Mitchell is professor of computer science at Portland State University and External Professor at the Santa Fe Institute. Her book Artificial Intelligence: A Guide for Thinking Humans will be published in October by Farrar, Straus, and Giroux. Aristo isn't the first AI system to shine on a test designed to gauge human knowledge and reasoning abilities. In 2015 one system matched a 4-year-old's performance on an ...

While we know many technology and solutions providers are building machine learning and artificial intelligence (AI) into their solutions, apps and platforms, the concept of what employees think about AI is less well understood. In the contact center, many solutions – most notably quality monitoring and workforce management – employ AI to analyze data, make predictions, and recommend next-best actions. In workforce management, the goal is to find hidden patterns in the historical data used to generate forecasts for volume and work time. These are all very employee-centric solutions, yet new research from Genesys (News - Alert) has found that few employees understand how AI affects them. The Genesys research was drawn from a study of broad attitudes of 1,103 employers and 4,207 employees in the United States, Germany, the United Kingdom, Japan, Australia and New Zealand regarding the current and future effects of AI on their workplaces.

S. Kevin Zhou, Ph.D. is currently a Principal Key Expert Scientist at Siemens Healthcare Technology Center, leading a team of full time research scientists and students dedicated to researching and developing innovative solutions for medical and industrial imaging products. His research interests lie in computer vision and machine/deep learning and their applications to medical image analysis, face recognition and modeling, etc. He has published over 150 book chapters and peer-reviewed journal and conference papers, registered over 250 patents and inventions, written two research monographs, and edited three books. He has won multiple technology, patent and product awards, including R&D 100 Award and Siemens Inventor of the Year. He is an editorial board member for Medical Image Analysis journal and a fellow of American Institute of Medical and Biological Engineering (AIMBE).

Caper, the first AI-powered shopping cart that uses computer vision to enable a seamless grab-and-go retail experience, announces that it has closed a $10 million Series A round of funding led by Lux Capital. Following Caper's Seed funding, First Round Capital, Y Combinator, Hardware Club, Sidekick Fund, and FundersClub reinvested in the Series A - fortifying their confidence in Caper as builders of game-changing technologies for the grocery industry. Red Apple Group, a well-known New York supermarket chain that operates Gristedes and D'Agostino, as well as other undisclosed strategic investors, also participated in the round. The funding will be used to expand the team and fulfill its rollout pipelines with mega-retailers.

Apple has launched its latest iPhone 11, iPhone 11 Pro and iPhone 11 Pro Max featuring new cameras, improved screens, faster processors and longer battery life. Announced at Apple's headquarters in Cupertino, California on Thursday, the iPhone 11 series of smartphones carries on where the iPhone XS, XS Max and XR left off last year. The new iPhones feature similar designs and screen sizes with slim bezels and the Face ID notch at the top, which was first introduced in 2017 with the iPhone X. A variety of new colours will also be available, with a new matt finish on the back of the iPhone 11 Pro. The iPhone Pro will be available in two sizes, with either a 5.8-inch (147mm) or 6.5-inch (165mm) screen. The improved Super Retina XDR OLED displays have a higher resolution, are brighter and have better colour, but are more efficient on battery.

In this talk I will show data engineers and architects how to run real-time TensorFlow Inception Image Recognition on images captured by remote sensors and images in tweets. In the same flow I will also demonstrate how to apply real-time sentiment analysis and intelligent routing of data to Phoenix, Email and Slack. I will elaborate on a number of different sentiment analysis frameworks available for use within Apache NiFi including Python NLTK, Stanford CoreNLP, Python SpaCy and Python TextBlob. This talk will be a deep dive into how to manage complex dataflow pipelines ingesting from multiple streaming sources including social, public open data feeds, logs, drones, RDBMS and IoT with transformations, deep learning, machine learning and business rules. Data engineers will be shown the power of Apache NiFi for loading diverse sources of data, applying transformations in-stream, routing based on attributes, adding sentiment data to workflows, running deep learning algorithms in stream and storing data into Apache Phoenix on HBase.