Researchers at MIT have developed a new AI model capable of assessing a patient’s risk of pancreatic cancer, reports Erez Meltzer for Forbes. “The model could potentially expand the group of patients who can benefit from early pancreatic cancer screening from 10% to 35%,” explains Meltzer. “These kinds of predictive capabilities open new avenues for preventive care.”
Michael Truell '21, Sualeh Asif '22, Arvid Lunnemar '22, and Aman Sanger '22 co-founded Anysphere, an AI startup working on developing Cursor, an AI-powered coding assistant, reports Marina Temkin for TechCrunch.
Researchers at MIT have developed a new model for training robots dubbed Heterogeneous Pretrained Transformers (HPT), reports Brain Heater for TechCrunch. The new model “pulls together information from different sensors and different environments,” explains Heater. “A transformer was then used to pull together the data into training models. The larger the transformer, the better the output. Users then input the robot design, configuration, and the job they want done.”
MIT researchers have developed a new training technique called Heterogeneous Pretrained Transformers (HPT) that could help make general-purpose robots more efficient and adaptable, reports Christopher Isak for TechAcute. “The main advantage of this technique is its ability to integrate data from different sources into a unified system,” explains Isak. “This approach is similar to how large language models are trained, showing proficiency across many tasks due to their extensive and varied training data. HPT enables robots to learn from a wide range of experiences and environments.”
Prof. Stuart Madnick speaks with Boston Globe reporter Scooty Nickerson about how to prevent and address data breaches. “Do not put all your eggs in one basket,” says Madnick. “Assume they are breaking in, and make it so they can’t break into every one of [your] systems.”
MIT researchers have developed a security protocol that utilizes quantum properties to ensure the security of data in cloud servers, reports Andrew Corselli for Tech Briefs. “Our protocol uses the quantum properties of light to secure the communication between a client (who owns confidential data) and a server (that holds a confidential deep learning model),” explains postdoc Sri Krishna Vadlamani.
Researchers at MIT have found that commercially available AI models, “were more likely to recommend calling police when shown Ring videos captured in minority communities,” reports Kyle Wiggers for TechCrunch. “The study also found that, when analyzing footage from majority-white neighborhoods, the models were less likely to describe scenes using terms like ‘casing the property’ or ‘burglary tools,’” writes Wiggers.
Researchers at MIT have developed GenSQL, a new generative AI system that can be used “to ease answering data science questions,” reports Allison Proffitt for Bio-It World. “Look how much better data science could be if it was easier to use,” says Research Scientist Mathieu Huot. “It’s not perfect yet, but we believe it’s quite an improvement over other options.”
Prof. Stuart Madnick speaks with CNBC reporter Cheryl Winokur Munk about the growing risk of "malvertising" – a new cyberattack technique that places online ads for malicious purposes. “You see something appearing on a Google search, you kind of assume it is something valid,” says Madnick. “You should assume that this could happen to you no matter how careful you are.”
A new paper by MIT researchers has found that “aviation safety is improving by the decade,” reports Monica Pitrelli for CNBC. The paper “states that the risk of dying on a commercial flight globally was 1 per 13.7 million passenger boardings from 2018 to 2022 — a significant improvement from the decade before, and far cry from the one death for every 350,000 boardings that occurred between 1968-1977,” explains Pitrelli.
Researchers at MIT have developed “a publicly available database, culled from reports, journals, and other documents to shed light on the risks AI experts are disclosing through paper, reports, and other documents,” reports Jon McKendrick for Forbes. “These benchmarked risks will help develop a greater understanding the risks versus rewards of this new force entering the business landscape,” writes McKendrick.
Prof. Stuart Madnick speaks with NPR host Alisa Chang about the recent influx of security breaches and how individuals can prepare for future attacks. “There are certain responsibilities companies have, particularly with the disclosure of private information,” explains Madnick. He emphasizes that individuals, "have to realize there are risks and behave as cautiously and fruitfully as you can.”
A new database of AI risks has been developed by MIT researchers in an effort to help guide organizations as they begin using AI technologies, reports Will Knight for Wired. “Many organizations are still pretty early in that process of adopting AI,” meaning they need guidance on the possible perils, says Research Scientist Neil Thompson, director of the FutureTech project.
A new study by MIT researchers finds that commercial air travel continues to get safer, with the risk of a fatality 1 per every 13.7 million passenger boardings globally in the 2018 to 2022 period, reports Brittany Anas for Forbes. “Researchers explain that this trend in safer flights can be understood through ‘Moore’s Law,’ which is the observation that innovators find ways to double computing power of chips every roughly 18 months,” Anas writes. “However, in this case, the MIT team points out, commercial travel has become almost twice as safe in each decade since the late 1960s.”
Elliot Schwartz ’89 PhD ’94 joins NPR’s Planet Money host Jeff Guo to discuss his work using data to help coaches and athletes make sense of the complicated judging systems used in many Olympic sports . “Seeing what happened to artistic swimming kind of makes you realize that the goal of these judging systems is not just about being objective. It's about motivating athletes to push the limits,” Guo says.