MIT researchers developed a new control system for the mini robotic cheetah that allows the robot to jump and traverse uneven terrain, reports Jules Suzdaltsev for Mashable. “There’s a camera for processing real-time input from a video camera that then translates that information into body movements for the robot,” Suzdaltsev explains.
The Naked Scientist podcaster Verner Viisainen spotlights how MIT researchers studied vector-based navigation in humans. “What we discovered is actually that we don’t follow the shortest path but actually follow a different kind of optimization criteria which is based on angular deviation,” says Prof. Carlo Ratti.
Popular Science reporter Charlotte Hu writes that MIT researchers have simulated an environment in which socially-aware robots are able to choose whether they want to help or hinder one another, as part of an effort to help improve human-robot interactions. “If you look at the vast majority of what someone says during their day, it has to do with what other [people] want, what they think, getting what that person wants out of another [person],” explains research scientist Andrei Barbu. “And if you want to get to the point where you have a robot inside someone’s home, understanding social interactions is incredibly important.”
Washington Post reporter Steven Zeitchik highlights Prof. Jessika Trancik’s work developing a carbon counter that details the carbon impacts of different cars and MIT startup Form Energy, which is “taking the oxidization process, normally only good for ruining your Saturday garage clean-up, and deploying it to store energy on power grids.” Says Trancik of the importance of allowing people the ability to take stock of their environmental impact: “One of the really important aspects of addressing climate change is bringing everyone into the discussion.”
Prof. Julie Shah speaks with Washington Post reporter Tatum Hunter about whether AI technologies will ever surpass human intelligence. “Any positive or negative use or outcome of this technology isn't predetermined. We have a lot of choices that we make,” Shah says. “And these should not be decisions that are left solely to technologists. Everybody needs to be involved because this technology has such a broad impact on all of us.”
MIT researchers have developed a new machine learning system that can help robots learn to perform certain social interactions, reports Brian Heater for TechCrunch. “Researchers conducted tests in a simulated environment, to develop what they deemed ‘realistic and predictable’ interactions between robots,” writes Heater. “In the simulation, one robot watches another perform a task, attempts to determine the goal and then either attempts to help or hamper it in that task.”
Writing for The Wall Street Journal, Daniel Huttenlocher, dean of the MIT Schwarzman College of Computing, Henry Kissinger, former secretary of state, and Eric Schmidt, former CEO of Google and former executive chairman of Google and Alphabet, explore how AI provides an opportunity for humans to redefine our roles in the world and the need to consider AI’s impact on culture, humanity and history. They underscore the importance of, “shaping AI with human values, including the dignity and moral agency of humans. In the U.S., a commission, administered by the government but staffed by many thinkers in many domains, should be established. The advancement of AI is inevitable, but its ultimate destination is not.”
Axios reporter Alison Snyder writes that a new study by MIT researchers demonstrates how AI algorithms could provide insight into the human brain’s processing abilities. The researchers found “Predicting the next word someone might say — like AI algorithms now do when you search the internet or text a friend — may be a key part of the human brain's ability to process language,” writes Snyder.
Using an integrative modeling technique, MIT researchers compared dozens of machine learning algorithms to brain scans as part of an effort to better understand how the brain processes language. The researchers found that “neural networks and computational science might, in fact, be critical tools in providing insight into the great mystery of how the brain processes information of all kinds,” writes Anna Blaustein for Scientific American.
TechCrunch reporter Brian Heater spotlights RFusion, a fully-integrated robotic arm developed by MIT researchers that “uses an RF antenna and camera mounted to an arm to find lost objects.”
Mashable reporter Emmett Smith spotlights how MIT researchers have created a new toolkit for designing wearable devices that can be 3D printed. “The researchers used the kit to create sample devices, like a personal muscle monitor that uses augmented reality,” explains Smith, “plus a device for recognizing hand gestures and a bracelet for identifying distracted driving.”
President L. Rafael Reif and Linda Henry, CEO of Boston Globe Media Partners, took part in a wide-ranging fireside chat during the inaugural Globe Summit, touching upon everything from the urgent need to address the climate crisis to MIT’s response to Covid-19, the Institute’s approach to AI education and the greater Boston innovation ecosystem. “This is such an important global issue,” says Reif of climate change. “It’s the most serious challenge we have in our times.”
MIT placed second on U.S. News & World Report’s 2022 annual rankings of the best colleges, reports CBS Boston.
MIT has been named the number 2 university in the U.S. in U.S. News & World Report's annual rankings, reports Abigail Hess for CNBC.
Wall Street Journal reporters Angus Loten and Kevin Hand spotlight how MIT researchers are developing robots with humanlike senses that will be able to assist with a range of tasks. GelSight, a technology developed by CSAIL researchers, outfits robot arms with a small gel pad that can be pressed into objects to sense their size and texture, while another team of researchers is “working to bridge the gap between touch and sight by training an AI system to predict what a seen object feels like and what a felt object looks like.”