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Prof. Pulkit Agrawal and graduate student Gabriel Margolis speak with The Economist’s Babbage podcast about the simulation research and technology used in developing intelligent machines. “Simulation is a digital twin of reality,” says Agrawal. “But simulation still doesn’t have data, it is a digital twin of the environment. So, what we do is something called reinforcement learning which is learning by trial and error which means that we can try out many different combinations.”
Prof. Mike Stonebraker co-founded DBOS, a serverless software platform, that aims to “put a database system at the bottom of the technology stack as close to the bare metal as possible where the operating system usually sits,” reports Ron Miller for TechCrunch. “Bare metal is a term used to describe the pure hardware layer where no software exists. Flipping the OS and the database is a bold and revolutionary idea,” explains Miller.
Prof. Thomas Malone speaks with Poets & Quants for Executives reporter Alison Damast about the executive education course he teaches with Prof. Daniela Rus that aims to provide senior-level managers with a better sense of how AI works. “We are certainly not trying to teach people to understand the details of how to write AI programs, though some of those in the course may know that already,” Malone says. “What we are trying to do is give them a sense of when it is easy and when it is hard to use AI technology at various times for different kinds of business applications.”
Prof. Daniela Rus, director of CSAIL, speaks with The Economist’s Babbage podcast about the history and future of artificial neural networks and their role in large language models. “The early artificial neuron was a very simple mathematical model,” says Rus. “The computation was discrete and very simple, essentially a step function. You’re either above or below a value.”
Wardah Inam SM '12, PhD '16 founded Overjet, an AI platform that helps dentists “diagnose diseases from scans and other data,” reports Saritha Rai for Bloomberg. “Dentistry was more art than science, and I wanted to bring technology and AI to help dentists make objective decisions,” says Inam. “We began building and then improving our AI systems with tens of millions of pieces of data, including X-rays, historical information, dentist notes, and periodontal charts.”
Prof. Daniela Rus, director of CSAIL, speaks with Boston Globe reporter Evan Sellinger about her new book, “The Heart and the Chip: Our Bright Future With Robots,” in which she makes the case that in the future robots and humans will be able to team up to create a better world. “I want to highlight that machines don’t have to compete with humans, because we each have different strengths. Humans have wisdom. Machines have speed, can process large numbers, and can do many dull, dirty, and dangerous tasks,” Rus explains. “I see robots as helpers for our jobs. They’ll take on the routine, repetitive tasks, ensuring human workers focus on more complex and meaningful work.”
Prof. Charles Stewart III and Ben Adida PhD ’06 speak with Fast Company reporter Spenser Mestel about how to restore the public’s faith in voting technology. Adida discusses his work launching VotingWorks, a non-profit focused on building voting machines. VotingWorks is “unique among the legacy voting technology vendors," writes Mestel. “The group has disclosed everything, from its donors to the prices of its machines.”
Los Angeles Times reporter Gustavo Arellano spotlights Democratic Senator Alex Padilla ’94 and his political career in California. Padilla “realized the only way to make things better for the Valley’s growing Latino community, in an era of anti-immigrant sentiment across California, was to elect politicians who looked like them,” writes Arellano.
Prof. Erik Demaine speaks with Boston Globe reporter Cate McQuaid about how combining the art of origami with computer science has enhanced his work in both fields. “We get stuck on a science problem and that inspires a new sculpture, or we get stuck trying to build a sculpture,” says Demaine, “and that leads to new science.”
MIT researchers have developed a new technique “that could allow most large language models (LLMs) like ChatGPT to retain memory and boost performance,” reports Tony Ho Tran for the Daily Beast. “The process is called StreamingLLM and it allows for chatbots to perform optimally even after a conversation goes on for more than 4 million words,” explains Tran.
Corey Jaskolski SM '02 founded Synthetaic, a software company that uses AI to “automate the analysis of large datasets, namely satellite imagery and video, not containing labels,” reports Kyle Wiggers for TechCrunch. “Synthetaic’s technology offers a transformative approach to AI model training and creation, addressing the critical needs of technical decision makers,” says Jaskolski.
A more than $40 million investment to add advanced nano-fabrication equipment and capabilities to MIT.nano will significantly expand the center’s nanofabrication capabilities, reports Jon Chesto for The Boston Globe. The new equipment, which will also be available to scientists outside MIT, will allow “startups and students access to wafer-making equipment used by larger companies. These tools will allow its researchers to make prototypes of an array of microelectronic devices.”
Jared Sadoian ’10 speaks with Boston Globe reporter Kara Baskin about his work as director of operations for Cambridge Street Hospitality. “My day consists of email and spreadsheets, and budgeting and planning and analysis,” says Sadoian. “At the same time, it’s very firmly rooted in guest-facing hospitality that most readers might be more familiar with: talking to guests and taking reservations and making sure that folks are happy in the restaurants, and solving problems. Maybe it’s making a drink. This job is all-encompassing, and I love it for that reason, because I ran away from the office life.”
Researchers from MIT and elsewhere have developed an AI model that is capable of identifying 3 ½ times more people who are at high-risk for developing pancreatic cancer than current standards, reports Felice J. Freyer for The Boston Globe. “This work has the potential to enlarge the group of pancreatic cancer patients who can benefit from screening from 10 percent to 35 percent,” explains Freyer. “The group hopes its model will eventually help detect risk of other hard-to-find cancers, like ovarian.”
Undark reporter Sarah Scoles spotlights Matt Jacobs '02 for his work with many California SAR (search and rescue) teams. “In 2015, Jacobs published a paper that took another look at the incident information in the large ISRID database (International Search & Rescue Incident Database),” writes Scoles. “Taking the largest ISRID categories – hikers, hunters, and gatherers – he tried to see how the terrain affected their choices.”