Researchers from CSAIL, Cornell University, and Maynooth University have released a study concluding that judges in Ireland are utilizing Wikipedia articles to help inform their decisions, reports Colleen Hagerty for Popular Science. Based on their findings, the researchers suggest “the legal community increases its efforts to monitor and fact-check legal information posted on Wikipedia.”
MIT researchers have developed a new system that enabled the mini robotic cheetah to learn to run, reports John Koetsier for Forbes. ““Traditionally, the process that people have been using [to train robots] requires you to study the actual system and manually design models,” explains Prof. Pulkit Agrawal. “This process is good, it’s well established, but it’s not very scalable. “But we are removing the human from designing the specific behaviors.”
Wall Street Journal reporter Daniela Hernandez spotlights the work of Media Lab Research Scientist Andreas Mershin in developing sensors that can detect and analyze odors. Mershin “is focusing on medical applications of olfaction technology. Inspired by dogs that have demonstrated an ability to sniff out malignancies in humans, he’s working on an artificial-intelligence odor-detection system to detect prostate cancer.”
Researchers at MIT have created a knit textile containing pressure sensors called 3DKnITS which can be used to predict a person’s movements, reports Charlotte Hu for Popular Science. “Smart textiles that can sense how users are moving could be useful in healthcare, for example, for monitoring gait or movement after an injury,” writes Hu.
Francis Plaza ’13 co-founded PayMongo, a fintech firm designed to digitalize the Philippine’s cash-based economy, reports Catherine Wang for Forbes. “PayMongo now not only plans to expand beyond the Philippines to other Southeast Asian countries, but also to broaden its remit by becoming a platform for scaling small business in the region,” writes Wang.
Alumnus Andrew Lau co-founded Jellyfish, an engineering management software platform designed to assess contextual business data and engineering signals to promote transparency into how engineering organizations work and operate, reports Bruce Rogers for Forbes. “We know leading a large engineering team is hard, not because necessarily of the coding, it's actually the intersection of technology and the business” says Lau.
Ken Knowlton PhD ’62 - a pioneer in the science and art of computer graphics and the creator of some of the first computer-generated pictures, portraits and movies - died June 16 at the age of 91, reports Cade Metz for The New York Times. “Knowlton was the only person to ever use the BEFLIX language – he and his colleagues quickly replaced it with other tools and techniques – the ideas behind this technology would eventually overhaul the movie business,” writes Metz.
Graduate student Anna Ivanova and University of Texas at Austin Professor Kyle Mahowald, along with Professors Evelina Fedorenko, Joshua Tenenbaum and Nancy Kanwisher, write for The Conversation that even though AI systems may be able to use language fluently, it does not mean they are sentient, conscious or intelligent. “Words can be misleading, and it is all too easy to mistake fluent speech for fluent thought,” they write.
MIT researchers have developed a new computational model that could be used to help explain differences in how neurotypical adults and adults with autism recognize emotions via facial expressions, reports Tony Ho Tran for The Daily Beast. “For visual behaviors, the study suggests that [the IT cortex] pays a strong role,” says research scientist Kohitij Kar. “But it might not be the only region. Other regions like amygdala have been implicated strongly as well. But these studies illustrate how having good [AI models] of the brain will be key to identifying those regions as well.”
In a recent case study, Steven Gonzalez Monserrate PhD ’22 makes the case that the environmental cost of computer science, specifically computer cloud storage and data centers, are huge and will only continue to rise, reports Naomi Oreskes for Scientific American. “The cloud, he [Monserrate] contends, is a ‘carbonivore’: a single data center can use the same amount of electricity as 50,000 homes,” writes Oreskes. “The entire cloud has a greater carbon footprint than the entire airline industry.”
Popular Science reporter Charlotte Hu writes that MIT researchers have developed an “electronics chip design that allows for sensors and processors to be easily swapped out or added on, like bricks of LEGO.” Hu writes that “a reconfigurable, modular chip like this could be useful for upgrading smartphones, computers, or other devices without producing as much waste.”
MIT engineers have developed a wireless, reconfigurable chip that could easily be snapped onto existing devices like a LEGO brick, reports Miriam Fauzia for The Daily Beast. “Having the flexibility to customize and upgrade an old device is a modder’s dream,” writes Fauzia, “but the chip may also help reduce electronic waste, which is estimated at 50 million tons a year worldwide.”
Researchers from MIT have discovered a hardware vulnerability in Apple’s M1 chip using an attack called PACMAN, reports Harry Guinness for Popular Science. “Attackers can only use PACMAN to exploit an existing memory bug in the system, which can be patched,” explained Guinness.
CSAIL researchers have found a security vulnerability in Apple’s M1 chip, reports Philip Tracy for Gizmodo. “The flaw could theoretically give bad actors a door to gain full access to the core operating system kernel,” explains Tracy.
MIT researchers have discovered a hardware vulnerability in Apple’s M1 chips that can allow attackers to break through its security defenses, reports Carly Page for TechCrunch. “Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory, however, have created a novel hardware attack, which combines memory corruption and speculative execution attacks to sidestep the security feature,” writes Page.