Download RSS feed: News Articles / In the Media / Audio
The MIT AI Hardware Program is aimed at bringing together academia and industry to develop energy-optimized machine-learning and quantum-computing systems, reports Katyanna Quach for The Register. “As progress in algorithms and data sets continues at a brisk pace, hardware must keep up or the promise of AI will not be realized,” explains Professor Jesús del Alamo. “That is why it is critically important that research takes place on AI hardware."
Forbes contributor Rick Miller spotlights “In Pursuit of the Perfect Portfolio: The Stories, Voices, and Key Insights of the Pioneers Who Shaped the Way We Invest,” a new book by Prof. Andrew Lo and Prof. Stephen Foerster of the University of Western Ontario. The book “provides historical perspective on the development of modern investment theory and practice,” writes Miller.
Researchers from MIT have developed a new fabric that can hear and interpret what’s happening on and inside our bodies, reports Elana Spivack for Inverse. Beyond applications for physical health the researchers envision that the fabric could eventually be integrated with “spacecraft skin to listen to [accumulating] space dust, or embedded into buildings to detect cracks or strains,” explains Wei Yan, who helped develop the fabric as an MIT postdoc. “It can even be woven into a smart net to monitor fish in the ocean. It can also facilitate the communications between people who are hard of [hearing].”
MIT researchers have utilized a new reinforcement learning technique to successfully train their mini cheetah robot into hitting its fastest speed ever, reports Matt Simon for Wired. “Rather than a human prescribing exactly how the robot should walk, the robot learns from a simulator and experience to essentially achieve the ability to run both forward and backward, and turn – very, very quickly,” says PhD student Gabriel Margolis.
Fortune reporter Jeremy Kahn spotlights a study co-authored by Prof. Marzyeh Ghassemi exploring issues associated with “explainable” AI systems that are being applied in fields such as healthcare, finance and government. The researchers explain that those using such systems “might have misunderstood the capabilities of contemporary explainability techniques—they can produce broad descriptions of how the AI system works in a general sense but, for individual decisions, the explanations are unreliable or, in some instances, only offer superficial levels of explanation.”
Profs. Ruonan Han and Qing Hu speak with Popular Science reporter Rahul Rao about their work with terahertz waves. “There’s a laundry list of potential applications,” says Hu of the promise of terahertz waves.
MIT researchers have created a new computer algorithm that has allowed the mini cheetah to maximize its speed across varying types of terrain, reports Shi En Kim for Popular Science. “What we are interested in is, given the robotic hardware, how fast can [a robot] go?” says Prof. Pulkit Agrawal. “We didn’t want to constrain the robot in arbitrary ways.”
MIT researchers have used a new reinforcement learning system to teach robots how to acclimate to complex landscapes at high speeds, reports Emmett Smith for Mashable. “After hours of simulation training, MIT’s mini-cheetah robot broke a record with its fastest run yet,” writes Smith.
CSAIL researchers developed a new machine learning system to teach the MIT mini cheetah to run, reports James Vincent for The Verge. “Using reinforcement learning, they were able to achieve a new top-speed for the robot of 3.9m/s, or roughly 8.7mph,” writes Vincent.
Ariana Remmel spotlights “Carbon Queen,” a new book written by MIT News Deputy Editorial Director Maia Weinstock, which highlights the career of Institute Professor Mildred S. Dresselhaus. “Weinstock navigates the complexities of theoretical physics and research bureaucracy deftly,” writes Remmel. “She describes of carbon – from diamond to graphite – and their properties with sleek diagrams and colourful analogies that unpack basic principles and broader implications.”
Science writer Maia Weinstock, deputy editorial director at MIT News, has written a new book titled “Carbon Queen: The Remarkable Life of Nanoscience Pioneer Mildred Dresselhaus,” which highlights the career of Institute Professor Mildred S. Dresselhaus, reports Vijaysree Venkatraman for Science. “In “Carbon Queen,” Weinstock has pieced together Dresselhaus’s story using decades of profiles, print interviews, oral histories conducted with the scientists herself, and new interviews with her contemporaries,” writes Venkatraman.
Physics World reporter Jesse Wade spotlights “Carbon Queen: The Remarkable Life of Nanoscience Pioneer Mildred Dresselhaus,” a new book by Maia Weinstock, deputy editorial director at MIT News. “With Carbon Queen, Weinstock does more than tell the story of a brilliant scientist’s life,” writes Wade. “She transports you into a world of curiosity and wonder, driven by enthusiasm and persistence.”
Indian Express reporter Sethu Pradeep writes that MIT researchers have developed a low-energy security chip designed to prevent side channel attacks on smart devices. “It can be used in any sensor nodes which connects user data,” explains graduate student Saurav Maji. “For example, it can be used in monitoring sensors in the oil and gas industry, it can be used in self-driving cars, in fingerprint matching devices and many other applications.”
TechCrunch reporter Haje Jan Kamps writes that MIT researchers have developed an “electronically steerable terahertz antenna array, which operates like a controllable mirror.” The new device “may enable higher-speed communications and vision systems that can see through foggy or dusty environments.”
Popular Science reporter Tatyana Woodall writes that CSAIL researchers have developed electromagnetic bot blocks that can reconfigure into various shapes and could potentially help astronauts build in space. “The electromagnetic lining of the 3D printed frames allows cubes to seamlessly attract, repel, or even turn themselves off,” writes Wood. “One cube takes a little over an hour to make, and only costs 60 cents.”