Electrical engineering and computer science (EECS)

STAT lists “The Exceptions: Sixteen Women, MIT, and the Fight for Equality in Science,” by Kate Zernicke as a “best book on health and science to check out this summer.”  The book focuses on Prof. Nancy Hopkins’ “career, which culminates in not only numerous scientific successes but also a collaborative effort with 15 other women faculty demonstrating evidence of gender discrimination at MIT,” explains STAT. “This work led to studies to address gender equity at nine other universities.” 

MIT researchers have improved upon the diffusion models used in AI image generation, reports Alok Jha for The Economist. Working with electrically charged particles, the team created “Poisson flow generative models,” which “generate images of equal or better quality than state-of-the-art diffusion models, while being less error-prone and requiring between ten and 20 times fewer computational steps,” Jha explains. 

Ronald Davis III '18, SM '22, PhD '24 speaks with Jason Groves of Las Cruces Sun-News about how his research at both MIT and an Army Department of Defense lab inspired his interest in applying AI technologies to improve wireless communications, work he is now using as the foundation of his startup VectorWave. "When I think of a student earning multiple degrees from a school such as MIT along with a Ph.D., I'm blown away that it could come from a small place like Las Cruces [New Mexico]," says Brandon Sprague, Davis’ former high school mathematics teacher. 

Prof. Regina Barzilay spoke at The Futurist Summit: The Age of AI – an event hosted by The Washington Post – about the influence of AI in medicine. “When we're thinking today how many years it takes to bring new technologies [to market], sometimes it's decades if we’re thinking about drugs, and very, very slow,” Barzilay explains. “With AI technologies, you've seen how fast the technology that you're using today is changing.”

MIT researchers used tools of computational complexity and mathematical concepts to prove that no analysis of the Super Mario Bros video game level “can say for sure whether or not it can ever be completed,” reports Matthew Sparkes for New Scientist. “The idea is that you’ll be able to solve this Mario level only if this particular computation will terminate, and we know that there’s no way to determine that, and so there’s no way to determine whether you can solve the level,” says Prof. Erik Demaine. 

Prof. Devavrat Shah is interviewed by Forbes’ Gary Drenik on balancing AI innovation with ethical considerations, noting governance helps ensure the benefits of AI are fairly distributed across society. “Our responsibility is to harness [AI’s] potential while safeguarding against its risks,” Shah explains. “This approach to promoting responsible AI development hinges on governance rooted in collaboration, transparency and actionable guidance."

Prof. Hal Abelson speaks with Inside Higher Ed reporter Lauren Coffey about AI policies in academia. “We put tremendous emphasis on creating with AI but that’s the sort of place that MIT is,” says Abelson. “It’s about making things. Other places have a very different view of this.”

Researchers at MIT have created a noise-blocking sheet of silkworm silk that could “greatly streamline the pursuit of silence,” reports Andrew Chapman for Scientific American. “The silk sheet, which is enhanced with a special fiber, expands on a technology also found in noise-canceling headphones,” explains Chapman. “These devices create silence by sampling the ambient noise and then emitting sound waves that are out of phase with those in the environment. When the ambient and emitted waves overlap, they cancel each other out.” 

Prof. Regina Barzilay joins The Economist’s “Babbage” podcast to discuss how artificial intelligence could enable health care providers to understand and treat diseases in new ways. Host Alok Jha notes that Barzilay is determined to “overcome those challenges that are standing in the way of getting AI models to become useful in health care.” Barzilay explains: “I think we really need to change our mindset and think how we can solve the many problems for which human experts were unable to find a way forward.”  

Researchers at MIT have developed a fiber capable of suppressing sound that is made up of “silk, canvas and other common materials,” reports Charlie McKenna for MassLive. “The silk is barely thicker than human hair and is made by heating the materials and drawing them into a fiber,” explains McKenna. “Since each material flows at the same temperature, they can be pulled into a fiber while maintaining their structure.” 

C. Gordon Bell ’57, SM 57 was a “computer pioneer always looking ten steps ahead and building that version of the world,” writes Gizmodo’s Matt Novak. Bell was, “a true visionary in the world of computing who helped design some of the first minicomputers in the 1960s," Novak adds. 

Called the “Frank Lloyd Wright of computers,” technology visionary C. Gordon Bell ’57, SM '57, “the master architect in the effort to create smaller, affordable, interactive computers that could be clustered into a network,” has died. “He was among a handful of influential engineers whose designs formed the vital bridge between the room-size models of the mainframe era and the advent of the personal computer,” notes Glenn Rifkin for The New York Times. 

On NPR’s Short Wave, climate correspondent Lauren Sommer reports on MIT researchers using artificial intelligence to decode the secret language of sperm whales. Prof. Daniela Rus says, “it really turned out that sperm whale communication was indeed not random or simplistic but rather structured in a very complex, combinatorial manner.”

Researchers at MIT and elsewhere have developed a new machine-learning model capable of “predicting a physical system’s phase or state,” report Kyle Wiggers and Devin Coldewey for TechCrunch. 

Researchers at CSAIL have created three “libraries of abstraction” – a collection of abstractions within natural language that highlight the importance of everyday words in providing context and better reasoning for large language models, reports Darren Orf for Popular Mechanics. “The researchers focused on household tasks and command-based video games, and developed a language model that proposes abstractions from a dataset,” explains Orf. “When implemented with existing LLM platforms, such as GPT-4, AI actions like ‘placing chilled wine in a cabinet' or ‘craft a bed’ (in the Minecraft sense) saw a big increase in task accuracy at 59 to 89 percent, respectively.”