Invention

This semester, students and postdocs across MIT were invited to submit ideas for the first-ever MIT Ignite: Generative AI Entrepreneurship Competition. Over 100 teams submitted proposals for startups that utilize generative artificial intelligence technologies to develop solutions across a diverse range of disciplines including human health, climate change, education, and workforce dynamics. On Oct. 30, 12 finalists pitched their ideas …

To get a sense of what StructCode is all about, says Mustafa Doğa Doğan, think of Superman. Not the “faster than a speeding bullet” and “more powerful than a locomotive” version, but a Superman, or Superwoman, who sees the world differently from ordinary mortals — someone who can look around a room and glean all kinds of information about ordinary …

Whether you are a new employee, a gymnast, or a bendy straw manufacturer, one trait is ideal across the board: flexibility. The same can now be said about prototyping electronic devices. While designers typically test out their designs on “breadboards,” or thin plastic boards that can hold together electronic components, they are often stiff and slow. With the rigidity of …

Computing is at an inflection point. Moore’s Law, which predicts that the number of transistors on an electronic chip will double each year, is slowing down due to the physical limits of fitting more transistors on affordable microchips. These increases in computer power are slowing down as the demand grows for high-performance computers that can support increasingly complex artificial intelligence …

Stop me if you’ve seen this before: a black and white pixelated square in lieu of a physical menu at a restaurant. QR codes are seemingly ubiquitous in everyday life. Whether you see one on a coupon at the grocery store, a flyer on a bulletin board, or the wall at a museum exhibit, each code contains embedded data. Unfortunately, …

Sometime in 2019, MIT PhD student Ajay Brahmakshatriya formulated a simple, though still quite challenging, goal. He wanted to make it possible for people who had expertise in a particular domain — such as climate modeling, bioinformatics, or architecture — to write their own programming languages, so-called domain-specific languages (or DSLs), even if they had little or no experience in …