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MIT researchers have developed “a robotic system that can rotate different types of fruit and vegetable using its fingers on one hand, while the other arm is made to peel,” reports Alex Wilkins for New Scientist. “These additional steps of doing rotation are something which is very straightforward to humans, we don’t even think about it,” Prof. Pulkit Agrawal. “But for a robot, this becomes challenging.”
Prof. Li-Huei Tsai, director of the Picower Institute, speaks with NPR host Jon Hamilton about her work identifying a protein called reelin that appears to protect brain cells from Alzheimer's. “Tsai says she and her team are now using artificial intelligence to help find a drug that can replicate what reelin does naturally,” says Hamilton.
Researchers at MIT have developed a new method for “training home robots in simulation,” reports Brain Heater for TechCrunch. “Simulation has become a bedrock element of robot training in recent decades,” explains Heater. “It allows robots to try and fail at tasks thousands — or even millions — of times in the same amount of time it would take to do it once in the real world.”
New York Times reporter Siobhan Roberts highlights the various MIT faculty and students who have contributed to the “serious recreational mathematics” behind the Rubik’s Cube phenomenon. Various mathematicians, including Prof. Erik Demaine, organized a two-day special session to celebrate the 50th anniversary of the Rubik’s Cube.
Prof. Yoon Kim speaks with Vox reporter Adam Clark Estes on how to address hallucinations and misinformation within large language models. “I don't think we'll ever be at a stage where we can guarantee that hallucinations won't exist,” says Kim. “But I think there's been a lot of advancements in reducing these hallucinations, and I think we'll get to a point where they'll become good enough to use.”
Prof. Dylan Hadfield-Menell is interviewed by Wired’s Will Knight about CriticGPT, a new tool developed by OpenAI that will assist human trainers in developing AI. “It might lead to big jumps in individual capabilities, and it might be a stepping stone towards sort of more effective feedback in the long run,” Hadfield-Menell says.
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.”
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.”
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.”