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.
Writing for Popular Science, Sarah Scoles spotlights DAILy (Developing AI Literacy) initiative, a project by MIT researchers and students aimed at teaching middle schoolers “the technical, creative, and ethical implications of AI, taking them from building PB&Js to totally redesigning YouTube’s recommendation algorithm.”
During CNBC’s Technology Executive Council summit, Prof. Christopher Magee related how “allocating R&D resources efficiently is a critical skill, but one that most companies struggle with,” according to CNBC reporter Susan Caminiti. Magee's latest research “uses AI to predict the speed of the development of specific new innovations, all with the goal of deploying resources smartly and effectively,” writes Caminiti.
New York Times Style Magazine reporter Zoë Lescaze explores the work of artist Agnieszka Kurant and her new installation at MIT. “Looping black lines composed of high-tech lights were designed to simulate the flow of ink scrawl across the facades of two new buildings, as though an invisible hand were repeatedly signing the walls,” writes Lescaze. “Kurant worked with computer scientists to create two collective signatures — one for the scientific and academic community at MIT and another for Cambridge residents.”
Institute Prof. Daron Acemoglu and his colleagues make the case in a piece for Wired that using the Turing test to help develop AI technologies for businesses has led to a “fundamental mismatch between the needs of business and the way AI is currently being conceived by many in the technology sector.” They write: “Businesses that find a productive way of using machine intelligence will lead by example, and their example can be followed by other companies and researchers freeing themselves from the increasingly unhelpful AI paradigm.”
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.”
Mashable video producer Jules Suzdaltsev shares that MIT scientists and a team of researchers have successfully created full-scale, self-navigating robotic boats ready to wade through the Amsterdam canals. “The boats use GPS, lidar, cameras and control algorithms to reach their full self-navigating capabilities,” writes Suzdaltsev.
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.”
TechCrunch writer Devin Coldewey reports on the ReSkin project, an AI project focused on developing a new electronic skin and fingertip meant to expand the sense of touch in robots. The ReSkin project is rooted in GelSight, a technology developed by MIT researchers that allows robots to gauge an object’s hardness.
Boston Globe reporter Christopher Muther writes that technology developed by researchers from MIT’s Lincoln Lab “uses three-dimensional radar imaging and artificial intelligence to not only scan for metal, but objects such as plastic explosives, liquid explosives, ghost guns, and other weapons that a metal detector can’t pick up.” The technology could be deployed in airports and cruise terminals, Muther explains.
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.
Axios reporter Marisa Fernandez writes that researchers from MIT and Wilson Labs will be analyzing data from seven organ procurement organizations as part of an effort to better understand the American organ procurement system. "Working with this data is a first step towards making better decisions about how to save more lives through organ procurement and transplantation,” says Prof. Marzyeh Ghassemi. “We have an opportunity to use machine learning to understand potential issues and lead improvements in transparency and equity.”
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.”
Graduate student Joy Buolamwini speaks with Good Morning America about her work uncovering bias in AI systems and how beauty data can marginalize people of color. “We can’t have social justice without algorithmic justice,” says Buolamwini.