MIT researchers have developed a robot that can learn how to successfully play Jenga, reports Brian Heater for TechCrunch. “The robot has to learn in the real world, by interacting with the real Jenga tower,” explains Prof. Alberto Rodriguez. “The key challenge is to learn from a relatively small number of experiments by exploiting common sense about objects and physics.”
Gizmodo reporter Andrew Liszewski writes that MIT researchers have developed a robot that can play Jenga using visual and physical cues. The ability to feel “facilitated the robot’s ability to learn how to play all on its own, both in terms of finding a block that was loose enough to remove, and repositioning it on the top of the tower without upsetting the delicate balance.”
MIT researchers have developed a robot that can play Jenga by combining interactive perception and manipulations, reports Mattha Busby for The Guardian. “In what marks significant progress for robotic manipulation of real-world objects, a Jenga-playing machine can learn the complex physics involved in withdrawing wooden blocks from a tower through physical trial and error,” Busby explains.
A new robot developed by MIT researchers uses AI and sensors to play the game of Jenga, reports Rob Verger for Popular Science. “It decides on its own which block to push, [and] which blocks to probe; it decides on its own how to extract them; and it decides on its own when it’s a good idea to keep extracting them, or to move to another one,” says Prof. Alberto Rodriguez.
TechCrunch reporter John Biggs writes that MIT researchers have developed a new system that allows users to reverse-engineer complex items by deconstructing objects and turning them into 3-D models. Biggs writes that the system is a “surprisingly cool way to begin hacking hardware in order to understand it’s shape, volume and stability.”
TechCrunch reporter John Biggs writes that MIT researchers have developed a system for 3-D printing glass that offers users more control over the material and final product. “The system is interesting because it actually produces clear glass structures that can be used for decoration or building,” Biggs notes.
Prof. Daniela Rus and R. David Eldeman, director of the Project on Technology, Economy, and National Security at MIT speak with Matt Simon at Wired about working with robots. “The robots have a fixed architecture and they have a fixed vocabulary,” explains Rus. “So, people will continue to have to learn that and understand what the tool is useful for.”
WGBH reporter Kirk Carapezza spotlights how MIT is providing free training for community college students in the advanced manufacturing field of integrated photonics. "There is a demand for photonics jobs, and it is moving quickly," explains Principal Research Scientist Anuradha Agarwal.
Prof. Erik Brynjolfsson speaks with Gizmodo reporter Brian Merchant about the 2018 AI Index report, which examines trends in the field of AI. Brynjolfsson says that when it comes to the impact of automation on the labor market, “developing countries are likely to be the hardest hit—they are the ones that depend most on low wages to compete in manufacturing.”
Writing for The Washington Post, research scientist Ashley Nunes examines GM’s announcement that it will eliminate thousands of jobs and halt production at several plants in North America. Nunes writes that, “Given the hurdles, political and otherwise, facing electric and autonomous vehicles, some may question the wisdom of GM’s recent announcement.”
CSAIL researchers have developed a new technique to recreate paintings from a single photograph, reports John Biggs for TechCrunch. “The project uses machine learning to recreate the exact colors of each painting and then prints it using a high-end 3D printer that can output thousands of colors using half-toning,” Biggs explains.
Forbes contributed Jennifer Kite-Powell writes about a system, called RePaint, developed by MIT researchers that uses AI and 3-D printing to replicate paintings. "We can picture RePaint being applied to restoration practice and education in museums so that greater numbers of people could be exposed to famous pieces of art beyond just the specific museums that house them," explains CSAIL mechanical engineer Mike Foshey.
Prof. John Sterman speaks with Marco Werman of PRI’s The World about the future of the American car market. According to Sterman, “the U.S. still has the opportunity, if the federal policies were aligned with our long-term interests, to have a major role in the new car and transportation and mobility industry that’s taking shape.”
Fast Company reporter Jesus Diaz writes that CSAIL researchers have developed a new technique to replicate works of art. Diaz explains that the system “uses a combination of 10 different transparent inks, placed by a 3D printer and governed by a complex AI system that decides how to layer and mix those inks to match a painting’s original colors.”
New York Times reporter Brad Plumer writes that a study by MIT researchers examines what forces contributed to the declining cost of solar panels. “We can cut emissions more quickly if we’re strategic about how we design energy policies and invest in R&D,” explains Prof. Jessika Trancik. “And one way to do that is to learn from past successes and figure out exactly why they happened.”