Universities are embracing artificial intelligence solutions to assist in IT projects and academics. At George Washington University, after piloting its 24/7 chatbot service MARTHA, 89 percent of users advocated the tool be a permanent tool. "We've created a service broker that can handle decisions on where to go to look for information," Jonathan Fozard, assistant vice president for the CIO's office at George Washington University told EdTech. "As we educated it and users tested it, the Watson component was learning alongside of us. If someone types in a question about 3D printing, we know that's most likely a student who has access to 3D printers in the engineering classroom or a medical enterprise."

Our Random Forest model predicts a 73% probability of the Oakland Raiders keeping it within the 4.5 points being offered at Westgate.

For a factory where robots toil around the clock to build a rocket with almost no human labor, the sound of grunts echoing across the parking lot make for a jarring contrast. "That's Keanu Reeves' stunt gym," says Tim Ellis, the chief executive and cofounder of Relativity Space, a startup that wants to combine 3D printing and artificial intelligence to do for the rocket what Henry Ford did for the automobile. As we walk among the robots occupying Relativity's factory, he points out the just-completed upper stage of the company's rocket, which will soon be shipped to Mississippi for its first tests. Across the way, he says, gesturing to the outside world, is a recording studio run by Snoop Dogg. Neither of those A-listers have paid a visit to Relativity's rocket factory, but the presence of these unlikely neighbors seems to underscore the company's main talking point: It can make rockets anywhere. In an ideal cosmos, though, its neighbors will be even more alien than Snoop Dogg.

Farming and advanced AI may seem antithetical, but they're not. The venerable farm equipment company has not only long embraced advanced technologies, the company for years has evangelized adoption of high performance clusters and simulation software for product design. And Deere freely states it's an extremely complex undertaking. In a recent article in IEEE, Deere's Julian Sanchez, who heads the Moline, IL, company's intelligent vehicles strategy, said that while the company is working on autonomous driving, "it's not just about driving tractors around." The more difficult problem, he said, is crop classification.

A new company founded by two former USC students wants to change the way rockets are made by using enormous 3-D printers. The company's initial project is called Terran-1, a 100-foot tall rocket that initially will carry satellites of up to 2,800 pounds into orbit around the earth. The current plan is to radically simplify manufacturing, using 100 times fewer parts to create a rocket that's so easy to manufacture, an AI can handle it. Relativity Space is based in Los Angeles, where its working on building a rocket that could launch as early as 2021. Relativity's founders see 3-D printing as the key to the company's success.

For a factory where robots toil around the clock to build a rocket with almost no human labor, the sound of grunts echoing across the parking lot make for a jarring contrast. "That's Keanu Reeves' stunt gym," says Tim Ellis, the chief executive and cofounder of Relativity Space, a startup that wants to combine 3D printing and artificial intelligence to do for the rocket what Henry Ford did for the automobile. As we walk among the robots occupying Relativity's factory, he points out the just-completed upper stage of the company's rocket, which will soon be shipped to Mississippi for its first tests. Across the way, he says, gesturing to the outside world, is a recording studio run by Snoop Dogg. Neither of those A-listers have paid a visit to Relativity's rocket factory, but the presence of these unlikely neighbors seems to underscore the company's main talking point: It can make rockets anywhere. In an ideal cosmos, though, its neighbors will be even more alien than Snoop Dogg.

In the age of blockchains, 3D printing, CRISPR-Cas9 -- and the inevitable new technologies that are yet to emerge -- today's workforce is struggling to keep up with the latest developments. For large companies and executives, finding resources for workers to learn from that are current, reputable, and unbiased can be challenging. To address this unmet need, MIT has assembled a team of writers, educators, and subject matter experts from both academia and industry to power the Institute's newest online learning offering -- a digital content library designed to help organizations keep their workforces apprised of the latest developments in technology and science. Known as MIT Horizon, the platform contains bite-sized articles, videos, and podcasts on emerging technologies, with early topics including additive manufacturing, artificial intelligence, blockchain technology, and robotics. "Technologies are advancing very rapidly, and we feel a responsibility at MIT to provide learning opportunities that can help today's workforce keep up with this pace of innovation," says Sanjay Sarma, MIT vice president for open learning.

Just like a knife can be used to slice a fruit as well as to commit a murder, artificial intelligence can be used for improving healthcare, but also for discrimination based on facial features and complexion; 3D printing can make organs as well as guns. Technologies are creating new jobs but also leading to displacing workers. Companies complain of difficulty in finding people with requisite skills, even as millions of graduates (and, even more others) remain jobless. Narendra Jadhav, prolific author and Rajya Sabha MP, explores these conundrums in New Age Technology and Industrial Revolution 4.0 and argues for development of a rubric of conducive public policies alongside development and deployment of technology. The book starts with an overview of technologies like AI, augmented reality (AR), additive manufacturing (aka 3D printing) and blockchain. Jadhav puts these within the realm of education, healthcare, digital payments, national security and jobs to discern policy aspects pertaining to economic growth, social inequalities and yes, financial services and banking.

Commercial 3-D printing--or additive manufacturing (AM)--is a booming industry. But if printers were liberated from the typical setup involving an immobile box and a gantry, and set free to work in roving, collaborative teams, the AM business might be much bigger with many more applications, including as robotic masons at construction sites and repairing crumbling urban and rural civil infrastructure. A multidisciplinary robotics team at the NYU Tandon School of Engineering, hosted by NYU's Center for Urban Science and Progress (CUSP) and supported by a $1.2 million grant from the National Science Foundation (NSF), is working to make the concept a reality by designing autonomous systems for 3-D printers on robotic arms attached to mobile, roving platforms. Functioning in teams--a concept called collective additive manufacturing (CAM)--these printers, with machine learning and other artificial intelligence (AI) capabilities, could repair bridges, tunnels and other civic structures; work in ocean depths and disaster zones; or even head to space to work on the Moon, Mars, and beyond. Feng explained that the goal is for accuracy, efficiency, and adaptability to the environment and to real-time conditions--rather the way a navigation app reroutes a vehicle that it senses has veered from a mapped course.

Angelo Yu is not afraid of Donald Trump. This year, Yu's auto startup in southwestern China is set to deliver its first vehicle to a U.S. buyer, but he has not even bothered to check how much President Trump's tariffs on Chinese goods might affect him. After all, he has a workaround -- even if it sounds like the stuff of science fiction. Pix Moving, Yu's company, is using artificial intelligence to design cars and convert the blueprints into instructions for 3D printers. His vision is to upload the data to the cloud and let his team in the U.S. print all the components there.