MIT researchers have developed a new system to 3-D print scaffolding for biological cultures, making it possible to grow uniform cells with specific functions, reports The Economist. “This discovery could help those trying to find ways of encouraging stem cells to generate tissue and organs for transplant.”
MIT researchers have identified a method to help AI systems avoid adversarial attacks, reports Matthew Hutson for Science. When the researchers “trained an algorithm on images without the subtle features, their image recognition software was fooled by adversarial attacks only 50% of the time,” Hutson explains. “That compares with a 95% rate of vulnerability when the AI was trained on images with both obvious and subtle patterns.”
Inside Higher Ed reporter Lindsay McKenzie writes that a new AI system developed by MIT researchers to summarize the findings of technical scientific papers could “be used in the near future to tackle a long-standing problem for scientists -- how to keep up with the latest research.”
Researchers at MIT have found that adversarial examples, a kind of optical illusion for AI that makes the system incorrectly identify an image, may not actually impact AI in the ways computer scientists have previously thought. “When algorithms fall for an adversarial example, they’re not hallucinating—they’re seeing something that people don’t,” Louise Matsakis writes for Wired.
MIT researchers have identified a new method to engineer neural networks in a way that allows them to be a tenth of the size of current networks without losing any computational ability, reports Avery Thompson for Popular Mechanics. “The breakthrough could allow other researchers to build AI that are smaller, faster, and just as smart as those that exist today,” Thompson explains.
WBUR reporter Pamela Reynolds highlights graduate student Joy Buolamwini’s piece, “The Coded Gaze,” which is currently on display as part of the “Avatars//Futures” exhibit at the Nave Gallery. Reynolds writes that Buolamwini’s piece “questions the inherent bias of coding in artificial intelligence, which has resulted in facial recognition technology unable to recognize black faces.”
Inside Science reporter Yuen Yiu writes that MIT researchers have developed a new AI system that can summarize scientific research papers filled with technical terms. Yiu writes that the system “is a dramatic improvement from current programs, and could help scientists or science writers sift through large numbers of papers for the ones that catch their interest.”
In this video, Reuters explores how MIT researchers have developed a robot that can automatically sort recycling. The robot uses a pressure sensor to squeeze items to determine how they should be sorted.
Axios reporter Ina Fried spotlights how graduate student Arnav Kapur has developed a system that can detect speech signals. “The technology could allow those who have lost the ability to speak to regain a voice while also opening up possibilities of new interfaces for general purpose computing,” Fried explains.
NBC News reporter Jacob Ward highlights how researchers from MIT, the Metropolitan Museum of Art and Microsoft are developing a system that can help predict which pieces of art could most appeal to people based on their social media profiles and preferences.
Forbes contributor Charles Towers-Clark writes that CSAIL researchers have developed a new machine learning system that could be used to help develop better estimates about internet data. “In tests, the system was over 57% more accurate in estimating internet traffic and more than 71% for trending social media topics,” Towers-Clark explains.
WGBH’s Kirk Carapezza reports from the launch of the new MIT Stephen Schwarzman College of Computing on how the new college is indicative of a shift in higher education towards more technical fields. “They can choose the major which is their passion and be confident they’re going to gain the skills that are necessary to advance that passion,” explains Provost Martin Schmidt.
Anne Mostue reports for Bloomberg Baystate Business on the launch event for the new MIT Stephen A. Schwarzman College of Computing. Eric Schmidt, former executive chairman of Alphabet, noted that the new college will be able to achieve something that has not been possible before, namely to “aggressively diffuse this new technology into fields which need it, but can’t get it on their own.”
VentureBeat reporter Kyle Wiggers highlights a panel discussion focusing on AI and entrepreneurship held during an event for the new MIT Schwarzman College of Computing. “We know that entrepreneurs drive the economy,” said Eric Schmidt, former executive chairman of Alphabet. “What do you need to have [AI] companies? You need entrepreneurs. And let me tell you: we need more entrepreneurs.”
Bloomberg News reporter Amanda Gordon writes about the three-day event for the new MIT Schwarzman College of Computing. “MIT is going to be the anchor of what we will know in society as public interest technology,” said Darren Walker, the president of the Ford Foundation, during a panel discussion on considering the social impacts of AI.