Artificial intelligence (AI)-powered food carts have begun delivering lunch to office workers in Beijing, courtesy of Chinese eCommerce shopping giant Meituan-Dianping. The company recently began a trial run for its new AI food and meal delivery service, with orders arriving on average 17 minutes after they were placed, Pandaily reports. Meituan debuted the new service on National Day, which commemorates the founding of the People's Republic of China, at Shougang Park, a closed business park. In efforts to make an even bigger splash internationally, Meituan also plans to use the robotic delivery vehicles in the 2022 Beijing Winter Olympics. The food carts are just one part of an AI-powered, brick-and-mortar store that Meituan has opened in Beijing, where orders are fielded and packed into the AI delivery vehicles.
New KDnuggets cartoon gives you a respite from the virus and politics and issues of the day, and looks at how AI can transform love and romance. A Scientist: Our AI has come up with "Dating in the cloud". It scans your social media posts and comes up with a great profile for you, automatically inflating your resume and making you more attractive. And no need to decie who pays for the meal!" Here are other KDnuggets AI, Big Data, Data Science, and Machine Learning Cartoons.
For the past three years, the world of running has been obsessed with one technology: carbon-fiber plates. The springy plates that help to push runners forward are now used by almost all running shoe manufacturers in their top-end shoes. But as sports companies have raced to embed the carbon plates in their running shoes, the foot-hugging fabric material that sits on the top of trainers has been neglected. This story originally appeared on WIRED UK. Adidas has revealed that for the last four years its computer and sports scientists have been secretly working on a brand new way to create a shoe's upper.
Robot soccer competition provides an excellent opportunity for integrated robotics research. In particular, robot players in a soccer game must recognize and track objects in real time, navigate in a dynamic field, collaborate with teammates, and strike the ball in the correct direction. All these tasks demand robots that are autonomous (sensing, thinking, and acting as independent creatures), efficient (functioning under time and resource constraints), cooperative (collaborating with each other to accomplish tasks that are beyond an individual's capabilities), and intelligent (reasoning and planning actions and perhaps learning from experience). Furthermore, all these capabilities must be integrated into a single and complete system, which raises a set of challenges that are new to individual research disciplines. This article describes our experience (problems and solutions) in these aspects. Our robots share the same general architecture and basic hardware, but they have integrated abilities to play different roles (goalkeeper, defender, or forward) and use different strategies in their behavior.
RoboCup-97, The First Robot World Cup Soccer Games and Conferences, was held at the Fifteenth International Joint Conference on Artificial Intelligence. There were two leagues: (1) real robot and (2) simulation. Ten teams participated in the real-robot league and 29 teams in the simulation league. Over 150 researchers attended the technical workshop. The world champions are CMUNITED (Carnegie Mellon University) for the small-size league, DREAMTEAM (University of Southern California) and TRACKIES (Osaka University, Japan) for the middle-size league, and AT-HUMBOLDT (Humboldt University) for the simulation league.
Disaster rescue is one of the most serious social issues that involves very large numbers of heterogeneous agents in the hostile environment. The intention of the RoboCup Rescue project is to promote research and development in this socially significant domain at various levels, involving multiagent teamwork coordination, physical agents for search and rescue, information infrastructures, personal digital assistants, a standard simulator and decision-support systems, evaluation benchmarks for rescue strategies, and robotic systems that are all integrated into a comprehensive system in the future. For this effort, which was built on the success of the RoboCup Soccer project, we will provide forums of technical discussions and competitive evaluations for researchers and practitioners. Although the rescue domain is intuitively appealing as a large-scale multiagent and intelligent system domain, analysis has not yet revealed its domain characteristics. The first research evaluation meeting will be held at RoboCup-2001, in conjunction with the Seventeenth International Joint Conference on Artificial Intelligence (IJCAI-2001), as part of the RoboCup Rescue Simulation League and RoboCup/AAAI Rescue Robot Competition.
Despite a recent COVID-19 outbreak in the NFL that resulted in cancelled games, some teams are planning to welcome back fans over the next few weeks. The Atlanta Falcons are one of those, and to reduce the risks, Atlanta's Mercedes-Benz Stadium (MBS) will be among the first sports venues to sanitize key areas using drones (via CNN). MBS will use Lucid Drone Technologies' D1 disinfecting drones to disinfect the seating bowl, handrails, and glass partitions at the stadium. "This stadium is incredibly large and as we begin to slowly welcome fans back, these drones allow us to maximize the time between games and private events to thoroughly sanitize," said building operations manager Jackie Poulakos. The use of drones reduces seating bowl cleaning times by 95 percent and is 14 times more efficient than regular backpack foggers, according to MBS.
An artificial intelligence equipped robot named'Curly' beat one of the world's best curling teams by quickly adapting to changes in the ice, its developers claim. The sport of curling involves constantly changing and uncontrollable environmental conditions - providing the perfect'test bed' for an AI-driven robot. Curly, who delivers the stone but doesn't sweep, won three out of four official matches against the Korean Olympic silver-medal winning women's team. The robot was developed by researchers from Korea University, who said this development narrows the gap between computer simulators and the real world. It's hoped the deep learning techniques developed for Curly could be applied to other robots that need to work'in the real world' and adapt to changing conditions.
The "Curly" curling robots are capturing hearts around the world. A product of Korea University in Seoul and the Berlin Institute of Technology, the deep reinforcement learning powered bots slide stones along ice in a winter sport that dates to the 16th century. As much as their human-expert-bettering accuracy or technology impresses, a big part of the Curly appeal is how we see the little machines in the physical space: the determined manner in which the thrower advances in the arena, smartly raising its head-like cameras to survey the shiny white curling sheet, gently cradling and rotating a rock to begin delivery, releasing deftly at the hog line as a skip watches from the backline, with our hopes. Artificial intelligence (AI) today delivers everything from soup recipes to stock predictions, but most tech works out-of-sight. More visible are the physical robots of various shapes, sizes and functions that embody the latest AI technologies. These robots have generally been helpful, and now they are also becoming a more entertaining and enjoyable part of our lives.