This paper introduces REMS, a robotics middleware and control framework that is designed to introduce the Zen of Python to robotics and to improve robotics education and development flow. Although existing middleware can serve hardware abstraction and modularity, setting up environments and learning middleware-specific syntax and procedures are less viable in education. They can curb opportunities to understand robotics concepts, theories, and algorithms. Robotics is a field of integration; students and developers from various backgrounds will be involved in programming. Establishing Pythonic and object-oriented robotic framework in a natural way can enhance modular and abstracted programming for better readability, reusability, and simplicity, but also supports useful and practical skills generally in coding. REMS is to be a valuable robot educational medium not just as a tool and to be a platform from one robot to multi-agent across hardware, simulation, and analytical model implementations.

If you can only read one tech story a day, this is it.

Artificial intelligence (AI) continues to dominate headlines and discussions on the future of tech and digital business. Organizations of all sizes and industries grapple with separating hype from reality and knowing when to adopt and invest in AI technologies. This year's World Economic Forum (WEF) 2018 was no different. AI was at the center of panels, breakout sessions and hallway conversations. Gartner's Peter Sondergaard, EVP and global head of research at Gartner, attended the forum and shared with us the technology-related headlines and why AI is top of mind for so many world leaders.

Artificial intelligence (AI) continues to dominate headlines and discussions on the future of tech and digital business. Organizations of all sizes and industries grapple with separating hype from reality and knowing when to adopt and invest in AI technologies. This year's World Economic Forum (WEF) 2018 was no different. AI was at the center of panels, breakout sessions and hallway conversations. Gartner's Peter Sondergaard, EVP and global head of research at Gartner, attended the forum and shared with us the technology-related headlines and why AI is top of mind for so many world leaders.

Bangalore: 2020 will be a pivotal year in AI-related employment dynamics, according to Gartner, as artificial intelligence (AI) will become a positive job motivator. The number of jobs affected by AI will vary by industry; through 2019, healthcare, the public sector and education will see continuously growing job demand while manufacturing will be hit the hardest. Starting in 2020, AI-related job creation will cross into positive territory, reaching two million net-new jobs in 2025. "Many significant innovations in the past have been associated with a transition period of temporary job loss, followed by recovery, then business transformation and AI will likely follow this route," said Svetlana Sicular, Research Vice President - Gartner. AI will improve the productivity of many jobs, eliminating millions of middle- and low-level positions, but also creating millions more new positions of highly skilled, management and even the entry-level and low-skilled variety.

Peter Sondergaard, head of research at Garter, speaks at the opening keynote of Gartner Symposium 2017. "AI will be a net job creator starting in 2020," said Peter Sondergaard on Monday morning at Gartner Symposium. Gartner's research chief couldn't have opened the company's flagship conference with a more astounding proclamation if he had claimed that next year's event would be held on the International Space Station and Gartner was offering free rides. The question of how artificial intelligence and robots will affect jobs has been one of the darkest shadows looming over the 21st century. Songergaard stated that by 2020 AI will automate 1.8 million people out of work, but it will create 2.3 million jobs.

Today, Clearpath Robotics (in partnership with Intel and iRobot) is announcing the newest member of the TurtleBot family: the TurtleBot Euclid. The TB Euclid, which should probably not be abbreviated as TBe, features an iRobot Create 2 mobile base along with a shiny new Intel Euclid sensing and computing module. It's designed to be both easier to use and cheaper than the original Turtlebot 2, and makes us more certain than ever that yes, TurtleBots are taking over the world. It's no secret that we love TurtleBots. We love big TurtleBots, and we love little Turtlebots, but we especially love TurtleBots that are brand new, and that makes TurtleBot Euclid our absolute favorite right now.