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Forbes

Researchers at MIT have found large language models “often struggle to handle more complex problems that require true understanding,” reports Kirimgeray Kirimli for Forbes. “This underscores the need for future versions of LLMs to go beyond just these basic, shared capabilities,” writes Kirimli. 

The Washington Post

Writing for The Washington Post, Prof. Daniela Rus, director of CSAIL, and Nico Enriquez, a graduate student at Stanford, make the case that the United States should not only be building more efficient AI software and better computer chips, but also creating “interstate-type corridors to transmit sufficient, reliable power to our data centers.” They emphasize: “The United States has the talent, investor base, corporations and research institutions to write the most advanced AI models. But without a powerful data highway system, our great technology advances will be confined to back roads.”

CNN

CNN visits the lab of Prof. Canan Dagdeviren to learn more about her work developing wearable ultrasound devices that could help screen for early-stage breast cancer, monitor kidney health, and detect other cancers deep within the body. “Wearable technology will grow rapidly in the near future,” says Dagdeviren. “But in the far future, they will be one of the most powerful tools that we will be seeing in our daily life.” 

Forbes

In an article for Forbes, Robert Clark spotlights how MIT researchers developed a new model to predict irrational behaviors in humans and AI agents in suboptimal conditions. “The goal of the study was to better understand human behavior to improve collaboration with AI,” Clark writes. 

TechCrunch

TechCrunch reporter Kyle Wiggers spotlights Codeium, a generative AI coding company founded by MIT alums Varun Mohan SM '17 and Douglas Chen '17. Codeium’s platform is run by generative AI models trained on public code, providing suggestions in the context of an app’s entire codebase. “Many of the AI-driven solutions provide generic code snippets that require significant manual work to integrate and secure within existing codebases,” Mohan  explains. “That’s where our AI coding assistance comes in.” 

Quanta Magazine

A team of MIT researchers discovered a hard limit for the “spooky” phenomenon known as quantum entanglement, reports Ben Brubaker for Quanta Magazine. The researchers found that quantum entanglement does not weaken as temperatures increase, but rather it vanishes above specific temperatures, a behavior dubbed the “sudden death” of entanglement. “It’s a very, very strong statement,” says Prof. Soonwon Choi of the findings. “I was very impressed.”

The Guardian

David Rush '07 pursues numerous challenges to promote STEM in education, but his role as the “globe’s most prolific Guinness World Record setter” stems from early sibling rivalry, reports Ramon Antonio Vargas for The Guardian. The thrill and accomplishment of beating his older brother at swimming led to attempting record breaking, which Rush uses as a metaphor for life’s trials. “If you set your mind to a goal, believe in yourself, pursue it with a passion, you can accomplish virtually anything,” he said.

The Washington Post

David Rush '07 shares his quest to break as many Guinness World Records as possible, conquering everything from setting a record time for juggling blindfolded to catching 59 marshmallows in his mouth in less than one minute and balancing 101 toilet paper rolls on his head, reports Cathy Free for The Washington Post. Rush now holds more than 181 world records. “I love the challenge and the training — it helps get me out of bed in the morning,” Rush says. “It’s a great feeling of accomplishment every time I can add another record to the list.”

Forbes

Edwin Olson '00, MEng '01, PhD '08 founded May Mobility, an autonomous vehicle company that uses human autonomous vehicle operators on its rides, reports Gus Alexiou for Forbes. “May Mobility is focused above all else on gradually building up the confidence of its riders and community stakeholders in the technology over the long-term,” explains Alexiou. “This may be especially true for certain more vulnerable sections of society such as the disability community where the need for more personalized and affordable forms of transportation is arguably greatest but so too is the requirement for robust safety and accessibility protocols.”

TechCrunch

TechCrunch reporter Kyle Wiggers writes that MIT researchers have developed a new tool, called SigLLM, that uses large language models to flag problems in complex systems. In the future, SigLLM could be used to “help technicians flag potential problems in equipment like heavy machinery before they occur.” 

BBC News

Prof. Regina Barzilay joins  BBC host Caroline Steel and other AI experts to discuss her inspiration for applying AI technologies to help improve medicine and fight cancer. “I think that in cancer and in many other diseases, the big question is always, how do you deal with uncertainty? It's all the matter of predictions," says Barzilay. "Unfortunately, today, we rely on humans who don't have this capacity to make predictions. As a result, many times people get wrong treatments or they are diagnosed much later.” 

NPR

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. 

Fast Company

In an excerpt from her new book, “The Mind’s Mirror: Risk and Reward in the Age of AI," Prof. Daniela Rus, director of CSAIL, addresses the fear surrounding new AI technologies, while also exploring AI’s vast potential. “New technologies undoubtedly disrupt existing jobs, but they also create entirely new industries, and the new roles needed to support them,” writes Rus.  

Forbes

Chanyeol Choi MS '19, PhD '21 and Subeen Pang MS '21, PhD '24 cofounded Linq, an AI startup that “helps hedge funds speed up their research into thousands of listed companies worldwide,” reports John Kang for Forbes. The company’s software “automates time-consuming equity research tasks, such as scanning for company announcements and news, building financial models and summarizing earnings reports and call transcripts,” explains Kang. 

Tech Briefs

Research Scientist Mathieu Huot speaks with Tech Briefs reporter Andrew Corselli about his work with GenSQL, a generative AI system for databases that “could help users make predictions, detect anomalies, guess missing values, fix errors, or generate synthetic data with just a few keystrokes.”