Electrical engineering and computer science (EECS)

The conversational AI models developed by MIT spinout Liquid AI are being introduced in Mercedes-Benz cars, writes Isabelle Bousquette for The Wall Street Journal. “Liquid AI invented a new architecture known as liquid neural networks, adaptive and efficient systems inspired by the neural activity of worms known scientifically as C. elegans,” writes Bousquette. Using the Liquid AI models in vehicles instead of cloud-based AI systems could allow for more “privacy, speed and the ability to run without constant network connectivity.” 

CodeSignal, co-founded by alumnus and CEO Tigran Sloyan, has developed Agentic Skills Intelligence, a new product that “uses AI agents to evaluate the skills people use in their work and links the findings to personalized practice,” writes Forbes’ Ray Ravaglia. CodeSignal has built an AI agent “for each domain in its job taxonomy, such as engineering and sales, along with agents for capabilities that cut across jobs, among them communication and AI literacy,” notes Ravaglia. “The agents draw on systems including Gong, Salesforce, and GitHub, and they score what they find against rubrics the company says are grounded in industrial-organizational psychology.” 

Prof. Ryan Williams speaks to TechCrunch’s Tim Fernholz about AI platforms refuting the Exponential Time Hypothesis, part of a broader class of problems known as P versus NP. “I do think that it kind of calls into question a lot of the intuitions that we thought we had about … how tractable [hard NP problems] are. I also think that this is probably not the final answer either,” says Williams. AI is “forcing people to be a little more ambitious about the kind of work that they do, and to think more deeply about, okay, if all the things I used to work on are now low-hanging fruit for AI, how can I raise the bar for the kind of scientific questions I want to ask?” 

The Boston Globe’s Mark Feeney spotlights the “Bounce juggler (W.C. Fields),” a machine modeled after the comedian W.C. Fields, on display at the MIT Museum, that juggles three metal balls and was created by the late Prof. Claude Shannon SM ’40, PhD ’40. “It’s one thing to be known as ‘the father of information theory,’ as Shannon is. His work in mathematics, electrical engineering, cryptography, and computer science was that important,” writes Feeney. “But Shannon was also a chess player, unicyclist, juggler, and inventor. Shannon combined his talent for engineering and imagination with his love of humor and juggling in the ‘Bounce juggler.’”  

Flapping Airplanes, a startup co-founded by Benjamin Spector ’22, MEng ’22, has developed a framework for AI models to run efficiently while being trained on less data and in a single graphics processing unit (GPU), writes Julie Bort for TechCrunch. The framework “can run a task that spends most of its time waiting for data to be fetched alongside one that spends most of its time doing math, so the chip is rarely sitting idle,” notes Bort. “The premise is that AI has barely scratched the surface of what GPUs can do, and they believe it can create intelligent systems ‘without ingesting half the internet.’”  

Eka Robotics, a startup cofounded by Prof. Pulkit Agrawal, has developed a robot with  a force-sensitive gripper that can “pick up about 1,500 objects that weigh up to 1 kg in an hour, compared to about 600 for a human” with 95% accuracy, reports Tim Fernholz for TechCrunch.  “We are starting off being very pragmatic, and saying here are two verticals in pick, arrange, place, and wire handling, let’s make them be home runs,” says Agrawal. “Once we have made home runs on them, the sky is the limit in how much we can do with the approach we are developing.” 

Financial Times reporter Clive Cookson details how the late Margaret Hamilton engineered code that would play a crucial role in achieving the first moon landing, at MIT’s Instrumentation Lab. When Apollo 11’s onboard computer flashed alarms minutes from landing on the moon, “Hamilton and colleagues had engineered the software to dump non-essential background tasks under those circumstances and prioritize procedures needed for the landing,” writes Cookson. “NASA controllers in Houston trusted the software, so they decided not to abort the mission, allowing Neil Armstrong and Buzz Aldrin to touch down safely in their Eagle module.”  

Prof. Jacob Andreas speaks with CNN’s Lisa Eadicicco about deciphering the chain-of-thought behind complex AI neural networks. “I think we’re still very far from being able to claim that we have any sort of fine-grained understanding of how the model is actually arriving at a solution,” says Andreas.  

Writing for Nature, Deputy Editorial Director Maia Weinstock honors the life and legacy of the late Margaret Hamilton, a pioneer of the software engineering field, who, at MIT’s Instrumentation Lab, led the team that wrote and tested software for the Apollo Guidance Computer onboard Apollo 11. Hamilton’s story “was also my inspiration for one of the vignettes in a Lego set that I created in 2016, featuring Hamilton and several other women in NASA history,” writes Weinstock. “She continued work at [her Universal Systems Language company] Hamilton Technologies well into her 80s, never failing to inspire me and countless others with her tenacity, humour, warmth and childlike wonder.”

In an interview with Bloomberg, Prof. Justin Solomon discusses how mathematicians are responding to advances in AI in the wake of an AI platform solving the Navier-Stokes problem. “The really interesting part [of proof writing] is the modeling and figuring out which questions to ask and what insights they bring us to the universe, and the AI tools are not doing that,” says Solomon. “Writing the prompts is very much what we’ve been teaching our students to do for centuries now, and that skill, I think, persists.” 

“Groundbreaking computer scientist” Margaret Hamilton, who at MIT’s Instrumentation Lab “led the team that created the onboard flight software for NASA’s moon-bound Apollo program and later in life was celebrated as a powerful symbol of women in technology,” has died at 90, writes Associated Press reporter Jamie Stengle. Hamilton “was very much a mathematician and into the abstraction of how to turn thought into software,” notes her daughter, Lauren. 

MassLive’s Liesel Nygard spotlights the late Margaret Hamilton, “a pioneering computer scientist who helped establish the field of software engineering and led the MIT team that developed the onboard flight software for NASA’s Apollo moon missions.” Nygard writes, “Thanks to priority-driven ‘defensive’ software [in the lunar module’s computers] engineered by Hamilton and her team, the system automatically shut down unnecessary background tasks to focus on the landing, avoiding an emergency abort [of the Apollo 11 mission].”  

The Washington Post’s Juno Carmel details how the late Margaret Hamilton “developed early computer software that helped pave the way for the digital world as we know it today” and led the team at MIT’s Instrumentation Lab that programmed the alarm code that played a crucial role in the Apollo 11 mission. Hamilton “was the lead developer for the software that powered the Apollo guidance computer, which weighed 70 pounds but had only 72 kilobytes of memory, a fraction of today’s smartphones,” notes Carmel. 

Margaret Hamilton, “best known for her major contributions to the Apollo missions” at MIT’s Instrumentation Lab, “died on Sept. 30 at age 90, leaving behind a trailblazing legacy of problem-solving and entrepreneurship that paved the way for a new branch of computer science and engineering,” writes reporter Margherita Bassi for Smithsonian Magazine. Hamilton’s “coding foresight and prowess really made that mission a success,” says Smithsonian National Air and Space Museum’s Andrew Meade McGee. “She created the logical software basis for many of the critical systems we use to maintain our infrastructure today, and that silently power today’s modern aerospace world.” 

Margaret Hamilton, who developed the software that helped the Apollo 11 mission land safely on the moon and “whose historic accomplishments focused attention on the work of software engineers,” died on Sept. 30, reports Bryan Marquard for The Boston Globe. “She gave me, from the get-go, this notion that I could do anything, that there were absolutely no gender barriers,” says Hamilton’s daughter, Lauren. Hamilton’s life and work conveyed to her great-granddaughters “that very clear idea that they could have whatever future they wanted to create for themselves.”