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.”
Researchers from MIT and elsewhere are studying how T-cell receptors recognize antigens, reports Michael T. Nietzel for Forbes. The team “hopes to develop antigen-specific immunotherapies which could also have treatment implications for infectious diseases and allergies,” writes Nietzel.
Prof. Emeritus Donald Sadoway co-founded Boston Metal, an MIT startup that has developed a carbon-free steel manufacturing process, reports Amy Feldman for Forbes. “Boston Metal’s process – which uses an electricity conducting, molten-metal proof anode to liquify iron ore, separating the pure metal without harmful byproducts – allows factories to create carbon-free steel as long as they use a clean energy source, such as hydroelectric power,” explains Feldman. “It also can create steel from lower-grade ores rather than relying on scarce high-grade ones. That’s an important advantage in terms of both cost and availability compared to other methods of making green steel, according to the company.”
Christina “Chris” Birch PhD '15 is among NASA’s newest class of astronauts, reports Norah O’Donnell for CBS Evening News. “These new astronauts could one day be part of the team that brings the first woman and first person of color to the surface of the moon and beyond.”
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. Philip Isola and Prof. Daniela Rus, director of CSAIL, speak with Associated Press reporter Matt O’Brien about AI generated images and videos. Rus says the computing resources required for AI video generation are “significantly higher than for still image generation” because “it involves processing and generating multiple frames for each second of video.”
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.”
TechCrunch reporter Haje Jan Kamps spotlights AgZen, an MIT startup that has developed a new tool that optimizes the use of pesticides to avoid over application. “The real winner in all of this may prove to be public health and the environment,” writes Jan Kamps. “By reducing foliar pesticide usage by 30% to 50%, AgZen’s technology might help mitigate [environmental] impacts, aligning with the critical need for improved spray efficiency highlighted in recent reports.”
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.”
Prof. Feng Zhang has been named to STAT’s 2024 STATUS List, which highlights the leaders shaping the future of health and life sciences, reports Dialynn Dwyer for Boston.com. “Among the companies he’s co-founded is Editas Medicine, which as of late 2023 was now the official holder of patent rights to the CRISPR-Cas9 gene editing tool used in the sickle cell therapy Casgevy, and Aera Therapeutics, which in February 2023 raised $193 million in venture funding to develop protein nanoparticles as a way of delivering gene editing,” Dwyer writes.
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.
Former postdoc Leah Ellis speaks with GBH All Things Considered host Arun Rath about Sublime Systems, an MIT startup she co-founded that aims to produce carbon-free cement to combat climate change. “Sublime Systems and this technology spun out of my postdoctoral work at MIT,” says Ellis. “My co-founder and I are both electric chemists, so we have experience with battery technologies and electrochemical systems. Our idea was thinking about how we might use renewable energy—which we know has become more abundant, inexpensive and available—to eliminate the CO2 emissions from cement.”
Researchers at MIT and elsewhere have developed a machine-learning model that can identify which drugs should not be taken together, reports Politico. “The researchers built a model to measure how intestinal tissue absorbed certain commonly used drugs,” they write. “They then trained a machine-learning algorithm based on their new data and existing drug databases, teaching the new algorithm to predict which drugs would interact with which transporter proteins.”