Ali Khademhosseini PhD ’05 founded Omeat, a cell-cultivated meat startup, which aims to provide sustainable meat without sacrificing an animal, reports Larissa Zimberoff for Fast Company. “Omeat takes cell biopsies from their cows and uses that to grow muscle cells in the lab, in steel-tank bioreactors that allow the cells to proliferate,” explains Zimberoff.
Gus Solomons Jr. ’61, “a leading figure in modern and postmodern dance,” has died at 84, reports Gia Kourlas for The New York Times. Solomons began dancing at age 4, but didn’t begin training until he was a first year student at MIT, where he earned a degree in architecture. “Over his long career, Mr. Solomons danced with many companies and many choreographers, including Martha Graham and Merce Cunningham,” Kourlas notes. “He broke ground as the first Black dancer to join the Cunningham company.”
Principal Research Scientist Kalyan Veeramachaneni speaks with Fast Company reporter Sam Becker about his work in developing the Synthetic Data Vault, which is helpful for creating synthetic data sets, reports Sam Becker for Fast Company. “Fake data is randomly generated,” says Veeramachaneni. “While synthetic data is trying to create data from a machine learning model that looks very realistic.”
Writing for The Hill, Andre Zollinger, senior policy manager at J-PAL Global, makes the case that “current attention to air pollution can be transformational for how we tackle climate change. Policy leaders in the U.S. and abroad should seize this moment of reckoning over our common struggle for clean air as an opportunity to focus on policies that are known to curb air pollution and simultaneously combat climate change.”
Researchers from MIT and Harvard have explored astrocytes, a group of brain cells, from a computational perspective and developed a mathematical model that shows how they can be used to build a biological transformer, reports Kyle Wiggers for TechCrunch. “The brain is far superior to even the best artificial neural networks that we have developed, but we don’t really know exactly how the brain works,” says research staff member Dmitry Krotov. “There is scientific value in thinking about connections between biological hardware and large-scale artificial intelligence networks. This is neuroscience for AI and AI for neuroscience.
Nature reporter Andrew Robinson spotlights “Atlas of the Senseable City” a new book co-authored by Prof. Carlo Ratti. The book is a “highly illustrated collection of digital maps,” Robinson notes, adding that it “analyzes four essential urban dimensions: motion, connection, circulation and experience.”
Prof. Mark Tegmark speaks with The Wall Street Journal reporter Emily Bobrow about the importance of companies and governments working together to mitigate the risks of new AI technologies. Tegmark “recommends the creation of something like a Food and Drug Administration for AI, which would force companies to prove their products are safe before releasing them to the public,” writes Bobrow.
Prof. D. Fox Harrell writes for The Guardian about the importance of ensuring AI systems are designed to “reflect the ethically positive culture we truly want.” Harrell emphasizes that: “We need to be aware of, and thoughtfully design, the cultural values that AI is based on. With care, we can build systems based on multiple worldviews – and address key ethical issues in design such as transparency and intelligibility."
Prof. Emeritus Thomas Kochan speaks with Sarah Gonzalez of NPR’s Planet Money about why European workers tend to be allotted more vacation time than workers in the U.S. Kochan notes that “if given the option, workers are historically more interested in seeing their take-home pay increase than they are in getting another day or week of vacation,” particularly when they have to cover the costs of health insurance.
Nature reporter Abdullahi Tsanni spotlights Nicole McGaa, a fourth-year student at MIT, and her work leading MIT’s all-Indigenous rocket team to the 2023 First Nations Launch National Rocket Competition. “Our project and others like it will set a precedent at MIT that will help Indigenous students to bridge their identity with their engineering aspirations and career goals,” says McGaa. “I encourage other Indigenous students to be brave, approach your projects with courage and try incorporating your identity and values into your work.”
Undergraduate student Isabella Struckman and Sofie Kupiec ’23 reached out to the first hundred signatories of the Future of Life Institute’s open letting calling for a pause on AI development to learn more about their motivations and concerns, reports Will Knight for Wired. “The duo’s write-up of their findings reveals a broad array of perspectives among those who put their name to the document,” writes Knight. “Despite the letter’s public reception, relatively few were actually worried about AI posing a looming threat to humanity.”
Researchers from MIT and BU have developed the Cleana toilet seat, a set of non-electric automatic lifting and lowering toilet seats that aim to make bathrooms more sanitary, reports Rob Way for WHDH.
Prof. Daniela Rus, director of CSAIL, speaks with TechCrunch reporter Brain Heater about liquid neural networks and how this emerging technology could impact robotics. “The reason we started thinking about liquid networks has to do with some of the limitations of today’s AI systems,” says Rus, “which prevent them from being very effective for safety, critical systems and robotics. Most of the robotics applications are safety critical.”
Vaikkunth Mugunthan MS ’19 PhD ‘22 and Christian Lau MS ’20, PhD ’22 co-founded DynamoFL – a software company that “offers software to bring large language models (LLMs) to enterprise and fine-tune those models on sensitive data,” reports Kyle Wiggers for TechCrunch. “Generative AI has brought to the fore new risks, including the ability for LLMs to ‘memorize’ sensitive training data and leak this data to malicious actors,” says Mugunthan. “Enterprises have been ill-equipped to address these risks, as properly addressing these LLM vulnerabilities would require recruiting teams of highly specialized privacy machine learning researchers to create a streamlined infrastructure for continuously testing their LLMs against emerging data security vulnerabilities.”
MIT researchers have developed a new tool called “PhotoGuard” that can help protect images from AI manipulation, reports Ross Cristantiello for Boston.com. The tool “is designed to make real images resistant to advanced models that can generate new images, such as DALL-E and Midjourney,” writes Cristantiello.