Machine learning

A study by MIT researchers examining the carbon emissions of self-driving cars found that “the power required to run one billion driverless vehicles driving for one hour per day could consume as much energy as all existing data centers in the world,” reports Claire Brown for The New York Times. Graduate student Soumya Sudhakar explains that another big unknown is how autonomous vehicles could change the way people travel, adding to the uncertainty over the overall long-term emissions outlook for self-driving cars. 

Prof. James Collins and his colleagues are using AI to develop new antibiotic compounds to treat infections and combat antibiotic resistance concerns, reports Lisa M. Krieger for the San Fransico Chronicle. “Looking at the structure of a compound — bond by bond, substructure by substructure — it (AI) can make a calculation of the probability that it could be antibacterial,” explains Collins. So far, “Collins and his colleagues have synthesized several compounds that combat hard-to-treat infections of gonorrhea and MRSA,” writes Krieger. “These techniques are also being harnessed to fight diseases, like cancer, lupus and arthritis.” 

Prof. James Collins speaks with Financial Times reporter Patrick Temple-West about his work using AI to design new antibiotic compounds to combat drug-resistant bacteria. “At present, the [AI] models are doing quite well at designing compounds that can attack in a Petri dish,” says Collins. 

Two new research papers by scientists from MIT and other institutions find that AI chatbots are successful at shifting the political beliefs of voters, and that the “most persuasive chatbots are those that share lots of facts, although the most information-dense bots also dole out the most inaccurate claims,” reports Sarah Kuta for Smithsonian Magazine. “If you need a million facts, you eventually are going to run out of good ones and so, to fill your fact quota, you’re going to have to put in some not-so-good ones,” says Visiting Prof. David Rand. 

A new study by MIT researchers has found that “AI chatbots were surprisingly effective at convincing people to vote for a particular candidate or change their support for a particular issue,” reports Alex Wilkins for New Scientist. “Even for attitudes about presidential candidates, which are thought to be these very hard-to-move and solidified attitudes, the conversations with these models can have much bigger effects than you would expect based on previous work,” says Visiting Prof. David Rand. 

Researchers at MIT and elsewhere “examined how popular chatbots could change voters’ minds about candidates in the United States, Canada and Poland,” reports Will Oremus for The Washington Post. 

Prof. Kevin Chen and his colleagues have designed a tiny, insect-sized aerial microrobot that is “faster and more acrobatic than any of its predecessors,” reports Phie Jacobs for Science. The device, “which measures just 4 centimeters across and weighs less than a paperclip, flies almost five times faster and accelerates twice as quickly as existing microrobots,” explains Jacobs. “It can also execute sharp turns while enduring 160-centimeter-per-second wind gusts and—perhaps most impressively—can complete 10 consecutive somersaults in 11 seconds.” 

Prof. Sara Beery spoke at TED Radio Hour about her work developing Inquire, an AI tool aimed at supercharging ecosystem conservation that is trained on millions of photos captured by citizen scientists, reports GBH. “Under the hood, what we’re doing is we’re developing AI models that can learn and understand similarities between images and scientific language,” explains Beery. 

A new study by researchers from MIT and elsewhere describes “agentic AI as a ‘new class of systems’ that ‘can plan, act, and learn on their own,’” reports Matt O’Brien for the Associated Press.

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. 

Sloan lecturer Michael Schrage speaks with Fortune reporter Sheryl Estrada about the implications of workslop, “AI-generated content that masquerades as good work but lacks the substance to meaningfully advance a given task.” “Ultimately, serious senior management will demand workslop metrics the same way they demand quality metrics,” says Schrage. “They’ll use LLMs to detect slop patterns in computational tasks—essentially, you’ll fight AI with AI.” 

MIT researchers have developed a “printable aluminum alloy that can withstand high temperatures and is five times stronger than traditionally manufactured aluminum,” reports Andrew Corselli for Tech Briefs. “The researchers envision that the new printable aluminum could be made into stronger, more lightweight and temperature-resistant products, such as fan blades in jet engines,” Corselli explains. 

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. 

Forbes reporter Gemma Allen spotlights Prof. Daniela Rus, director of CSAIL, and her work revolutionizing the field of robotics by bringing “empathy into engineering and proving that responsibility is as radical and as commercially attractive as unguarded innovation.” Rus says of her vision for the future of robotics and AI: “With robots, we can amplify strength and precision. With AI, we can amplify cognition, creativity, empathy, and foresight. These tools should help us become better versions of ourselves."