Wall Street Journal reporter Angel Au-Yeung spotlights Anysphere, an AI startup founded by Michael Truell '21, Sualeh Asif '22, Arvid Lunnemar '22, and Aman Sanger '22. “The company makes an AI tool that learns a developer’s coding style to help autocomplete, edit and review lines of code,” writes Au-Yeung.
Michael Truell '21, Sualeh Asif '22, Arvid Lunnemar '22, and Aman Sanger '22 co-founded Anysphere, an AI startup developing Cursor, an AI coding tool that “allows engineers to use AI models from OpenAI, Anthropic, Google and xAI to write and edit entire chunks of code as well as identify and fix bugs,” reports Rashi Shrivastava for Forbes.
Prof. Richard Binzel speaks with New Scientist reporter Alex Wilkins about his work inventing the Near-Earth Object Hazard Index (later renamed the Torino scale), asteroid hunting and the future of planetary defense. “Speaking very personally, as a scientist who’s been in the field for 50 years, who has largely been supported by public funds, I feel a moral responsibility to push forward the idea that, because we now have the capability to find any serious asteroid threat, we have a moral obligation to do it,” says Binzel of his work. “Otherwise, we are not doing our job as scientists.”
Researchers at MIT have discovered “the most direct evidence to date of unconventional superconductivity in ‘magic-angel’ twisted trilayer graphene (MATTG), reports Aman Tripathi for Interesting Engineering. “This finding is a crucial step in the global search for room-temperature superconductors, often referred to as the ‘Holy Grail’ of physics,” writes Tripathi.
In honor of the 25th anniversary of the International Space Station (ISS), Earth.com reporter Derek Davis spotlights the contributions of a number of MIT-trained astronauts and engineers, who played pivotal roles in the ISS’ history.
MIT researchers have developed a new AI tool, dubbed “DrugReflector,” aimed at speeding up the drug discovery process, reports William A. Haseltine for Forbes. The researchers used DrugReflector to test tested almost 9,600 drugs in different human cell types.“This system was 17 times more accurate than older computational methods and improved as it used honest lab feedback,” writes Haseltine.
Prof. Kerry Emanuel speaks with CNN reporter Andrew Freedman about the impact of human-caused influences on massive storms, such as Hurricane Melissa. “This is the third Category 5 tropical cyclone in the Atlantic this year, and the other two also went through periods of rapid intensification. Taken together, this season might be said to be consistent with what we have been saying for some time,” Emanuel explains. “The proportion of global tropical cyclones reaching high intensity is increasing, as is the incidence of rapidly intensifying storms.”
Wired reporter Steven Levy spotlights Research Scientist Sarah Schwettmann PhD '21 and her work investigating the unknown behaviors of AI agents. Schwettmann has co-founded Transluce, a nonprofit interpretability startup “to further study such phenomena,” writes Levy.
At a recent conference, Prof. Sergey Ovchinnikov and his colleagues presented a paper demonstrating how they have used advanced versions of ChatGPT to “generate amino acid sequences that code for biologically active proteins with a structural feature called a four-helix bundle,” reports Jeffrey Brainard for Science. “To Ovchinnikov’s surprise, ChatGPT produced gene sequences without further refinement of his team’s query,” writes Brainard. “Still, the application of ChatGPT to this task needs refinement, Ovchinnikov found. Most of the sequences his team produced did not garner 'high confidence' on a score predicting whether they would form the desired protein structure.”
Prof. Alex Shalek and his colleagues developed a deep-learning model called DrugReflector aimed at speeding up the process of drug discovery, reports Heidi Ledford for Nature. “They used DrugReflector to find chemicals that can affect the generation of platelets and red blood cells — a characteristic that could be useful in treating some blood conditions,” explains Ledford. The researchers found that “DrugReflector was up to 17 times more effective at finding relevant compounds than standard, brute-force drug screening that depends on randomly selecting compounds from a chemical library.”
George Smoot '66, PhD '70, recipient of the 2006 Nobel Prize in Physics, has died at the age of 80, reports Katrina Miller for The New York Times. Smoot’s work as a physicist “helped elucidate the story of cosmic creation, providing evidence of what he called the primordial seeds that grew into galaxies and galaxy clusters,” writes Miller.
Researchers at MIT have uncovered remnants of “proto Earth,” which existed before a Mars-sized meteorite slammed into the Earth billions of years ago, reports Gayoung Lee for Gizmodo. The researchers “found an odd imbalance of potassium isotopes in ancient rock samples,” explains Lee. “Chemical analyses revealed the anomaly couldn’t have emerged from any known geological processes on modern Earth.”
New York Times reporter Annabel Keenan highlights the “Remembering the Future” exhibit at the MIT Museum, a sculptural installation created by Janet Echelman that uses “climate data from the last ice age to the present, as well as projected future environments, to create a geometric design.” Echelman worked with MIT faculty, including Prof. Raffaele Ferrari and Prof. Caitlin Mueller, to bring the project to life. Mueller explains that she developed a “high-fidelity digital twin of the sculpture generated through our computational simulation that you can orbit and pan through to get perspectives that you can’t see physically in the space.”
Prof. Peter Shor speaks with Katia Moskvitch and her nine-year-old son Kai of The Quantum Kid about how quantum technologies could be applied to developing climate change and sustainability solutions. Shor explains that quantum computers can be used for “simulating quantum mechanics, which would really help immensely in designing new materials, and new materials could be very useful for solving the climate crisis.”
Graduate student Chung-Tao (Josh) Chou speaks with Tech Briefs reporter Andrew Corselli about his work developing a magnetic transistor that could lead to more energy-efficient circuits. “People have known about magnets for thousands of years, but there are very limited ways to incorporate magnetism into electronics,” says Chou. “We have shown a new way to efficiently utilize magnetism that opens up a lot of possibilities for future applications and research.”