TechCrunch
Michael Truell '21, Sualeh Asif '22, Arvid Lunnemar '22, and Aman Sanger '22 co-founded Anysphere, an AI startup working on developing Cursor, an AI-powered coding assistant, reports Marina Temkin for TechCrunch.
Michael Truell '21, Sualeh Asif '22, Arvid Lunnemar '22, and Aman Sanger '22 co-founded Anysphere, an AI startup working on developing Cursor, an AI-powered coding assistant, reports Marina Temkin for TechCrunch.
Researchers at MIT have developed a “new type of transistor using semiconductor nanowires made up of gallium antimonide and iridium arsenide,” reports Alex Knapp for Forbes. “The transistors were designed to take advantage of a property called quantum tunneling to move electricity through transistors,” explains Knapp.
Researchers at MIT have developed a new virtual training program for four-legged robots by taking “popular computer simulation software that follows the principles of real-world physics and inserting a generative AI model to produce artificial environments,” reports Jeremy Hsu for New Scientist. “Despite never being able to ‘see’ the real world during training, the robot successfully chased real-world balls and climbed over objects 88 per cent of the time after the AI-enhanced training,” writes Hsu. "When the robot relied solely on training by a human teacher, it only succeeded 15 per cent of the time.”
Research Scientist Nick van der Meulen speaks with Financial Times reporter Bethan Staton about how automation could be used to help employers plug the skills gap. “You can give people insight into how their skills stack up . . . you can say this is the level you need to be for a specific role, and this is how you can get there,” says van der Meulen. “You cannot do that over 80 skills through active testing, it would be too costly.”
Designer and artist Es Devlin has been named the recipient of the 2025 Eugene McDermott Award in the Arts at MIT, reports Arushi Jacob for The Boston Globe. The award recognizes and honors “individuals in the arts, spanning a variety of mediums,” explains Jacobs. “The award aims to invest in the careers of cross-disciplinary artists, like Devlin.”
Graduate student Aruna Sankaranarayanan speaks with Mashable reporter Cecily Mauran the impact of political deepfakes and the importance of AI literacy, noting that the fabrication of important figures who aren’t as well known is one of her biggest concerns. “Fabrication coming from them, distorting certain facts, when you don’t know what they look like or sound like most of the time, that’s really hard to disprove,” says Sankaranarayanan.
Researchers at MIT have developed a new model for training robots dubbed Heterogeneous Pretrained Transformers (HPT), reports Brain Heater for TechCrunch. The new model “pulls together information from different sensors and different environments,” explains Heater. “A transformer was then used to pull together the data into training models. The larger the transformer, the better the output. Users then input the robot design, configuration, and the job they want done.”
Postdoctoral associate Peter Slattery speaks with Forbes reporter Tor Constantino about the importance of developing new technologies to easily distinguish AI generated content. “I think we need to be very careful to ensure that watermarks are robust against tampering and that we do not have scenarios where they can be faked,” explains Slattery. “The ability to fake watermarks could make things worse than having no watermarks as it would give the illusion of credibility.”
MIT researchers have developed a new training technique called Heterogeneous Pretrained Transformers (HPT) that could help make general-purpose robots more efficient and adaptable, reports Christopher Isak for TechAcute. “The main advantage of this technique is its ability to integrate data from different sources into a unified system,” explains Isak. “This approach is similar to how large language models are trained, showing proficiency across many tasks due to their extensive and varied training data. HPT enables robots to learn from a wide range of experiences and environments.”
Prof. Jacopo Buongiorno speaks with Nature reporter Davide Castelvecchi about how AI has increased energy demand and the future of nuclear energy.
Researchers at MIT have developed “Clio,” a new technique that “enables robots to make intuitive, task-relevant decisions,” reports Jennifer Kite-Powell for Forbes. The team’s new approach allows “a robot to quickly map a scene and identify the items they need to complete a given set of tasks,” writes Kite-Powell.
MIT researchers have developed a security protocol that utilizes quantum properties to ensure the security of data in cloud servers, reports Andrew Corselli for Tech Briefs. “Our protocol uses the quantum properties of light to secure the communication between a client (who owns confidential data) and a server (that holds a confidential deep learning model),” explains postdoc Sri Krishna Vadlamani.
Liquid AI, an MIT startup, is unveiling a new AI model based on a liquid neural network that “has the potential to be more efficient, less power-hungry, and more transparent than the ones that underpin everything from chatbots to image generators to facial recognition systems, reports Will Knight for Wired.
Prof. Daron Acemoglu, a recipient of the 2024 Nobel Prize in economic sciences, speaks with CNBC about the challenges facing the American economy. Acemoglu notes that in his view the coming economic storm is really “both a challenge and an opportunity,” explains Acemoglu. “I talk about AI, I talk about aging, I talk about the remaking of globalization. All of these things are threats because they are big changes, but they’re also opportunities that we could use in order to make ourselves more productive, workers more productive, workers earn more. In fact, even reduce inequality, but the problem is that we’re not prepared for it.”
Graduate student Nouran Soliman speaks with NBC Boston about the use of “personhood credentials,” a new technique that can be used to verify online users as human beings to help combat issues such as fraud and misinformation. “We are trying to also think about ways of implementing a system that incorporates personal credentials in a decentralized way,” explains Soliman. “It's also important not to have the power in one place because that compromises democracy.”