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.”
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.”
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. Simon Johnson, one of the recipients of the 2024 Nobel Prize in economics, speaks with Times Higher Education reporter Jack Grove about his journey from a childhood in Sheffield as the son of a screw manufacturer to studying for his PhD at MIT and serving as chief economist at the International Monetary Fund. Speaking about how to help ensure AI is used to benefit society and workers, Johnson explains: “Big tech doesn’t like us, but we need a plan for this, and the role of economists like us is to get ideas like this out there so they can be hammered out in the policy world.”
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.”
Researchers at MIT have demonstrated “fully 3D-printed semiconductor-free resettable fuses,” reports Jesse Allen for Semiconductor Engineering. “The researchers plan to further develop the technology to print fully functional electronics and aim to fabricate a working magnetic motor using only extrusion 3D printing,” writes Allen.
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.”
Prof. Simon Johnson, who shared the 2024 Nobel Prize in economic sciences with Prof. Daron Acemoglu, speaks with CNBC “Squawk Box” about his reaction to hearing the news that he was a Nobel laureate and his research on the role of strong institutions in shaping economies. “I think going forward we need to strengthen the resilience of our democracy in the United States,” says Johnson. He adds that having a “resilient democracy, a legitimate democracy, a democracy that everyone believes in and adheres to the results of elections, is absolutely fundamental to everything that we’ve been able to build.”
Researchers at MIT and elsewhere have developed a 3D printing method that allows “precise control over color, shade, texture, all with just a single material,” reports Vanesa Listek for 3Dprint.com. This technique “promises a faster and more sustainable solution than traditional approaches relying on multiple materials and nozzle changes,” explains Listek.
Prof. Simon Johnson, a recipient of the 2024 Nobel Prize in economic sciences, joins Planet Money’s The Indicator podcast to discuss his research that demonstrates the importance of strong institutions for a country’s economic growth and prosperity. “Rejecting the result of a free and fair election, encouraging people to attack Congress when it's the process of formally validating that vote - that's not acceptable,” says Johnson. “Those moves - that kinds of actions can absolutely undermine, destroy any democracy. We've seen that many times around the world. It takes a long time to build strong institutions. It doesn't take long to overthrow them if you really put your mind to it.”
Prof. Simon Johnson, a recipient of the 2024 Nobel Prize in economic sciences, speaks with Marketplace host David Brancaccio about his research exploring how institutions shape economies and AI’s potential influence on the workforce. “I think there’s a lot we can do on redirecting technological progress and pushing AI and the innovators around that space towards inventing things that are more useful to people and boost the productivity of particularly people with less education.”
Prof. Simon Johnson, who along with Prof. Daron Acemoglu has received the 2024 Nobel Prize in economic sciences, speaks with Lynn Jolicoeur, host of WBUR’s All Things Considered, about his Nobel Prize winning research and how new technologies could play into the future of democracy. “My bumper sticker for this whole moment is, ‘more good jobs,’” says Johnson. He notes that along with his colleagues Profs. Daron Acemoglu and David Autor, he is “pushing for ways that we can tap into new technology, the latest technology, including artificial intelligence, to push the development and deployment of technology towards more good jobs. If you can do that, I think you can right the ship of democracy and more people will feel confident in their future.”