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.”
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.
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.
Gizmodo reporter Andrew Liszewski writes that MIT researchers “used a high-resolution video camera with excellent low-light performance (the amount of sensor noise has to be as minimal as possible) to capture enough footage of a blank well that special processing techniques were able to not only see the shadow’s movements, but extrapolate who was creating them.”
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.”
Scientific American reporter Sophie Bushwick writes that MIT researchers have developed a new system that can interpret shadows that are invisible to the human eye. “The system can automatically analyze footage of a blank wall in any room in real time, determining the number of people and their actions,” writes Bushwick.
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.”
Wall Street Journal reporter Sara Castellanos spotlights Prof. Markus Buehler’s work combining virtual reality with sound waves to help detect subtle changes in molecular motions. Castellanos notes that Buehler and his team recently found, “coronaviruses can be more lethal or infectious depending on the vibrations within the spike proteins that are found on the surface of the virus.”
Boston Globe reporter Hiawatha Bray spotlights Venti Technologies, an MIT startup developing self-driving cargo trucks for seaports. “The trucks can automatically transport containers to dockside, where cranes can load them onto ships,” writes Bray. “Or they can pick up containers as they’re unloaded, and move them to staging areas where they can be transferred to other ships.”
Vice reporter Radhamely De Leon spotlights how researchers from MIT and Carnegie Mellon University have created “a search engine tool that shows what Google search results appear in different countries or languages, highlighting key differences in the algorithm between regions.”
Graduate student Shashank Srikant speaks with The Economist about his work developing a new model that can detect computer bugs and vulnerabilities that have been maliciously inserted into computer code.
Koch Institute fellow Dr. Rameen Shakur and his colleagues have developed a new computer tool that could allow doctors to personalize treatments for patients with inherited heart disease. “In areas such as cardiology and oncology, where large amounts of clinical and genetic data need to be analyzed, adopting a computer-based approach…can make diagnosis, outcome prediction and treatment more effective and efficient,” writes Helen Albert for Clinical OMICs.
Mashable spotlights Strolling Cities, a video project from the MIT-IBM Watson AI Lab, which uses AI to allow users to imagine what different words would like as a location. “Unlike other image-generating AI systems, Strolling Cities creates fictional cities every time,” Mashable notes.