Art for All | | | The startup NALA, which began as an MIT class project, uses AI to directly match art buyers with artists. “There’s so much talent out there that has never had the opportunity to be seen outside of the artists’ local market,” Benjamin Gulak ’22 says. “We’re opening the art world to all artists.” Full story via MIT News → |
New research debunks four myths about “impostor syndrome” Impostor thoughts reflect the belief that others overestimate your abilities. New research shows they’re not all bad, and they don’t last forever. Full story via MIT Sloan→ | |
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Physicists measure quantum geometry for the first time The work opens new avenues for understanding and manipulating electrons in materials. Full story via MIT News → | |
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Teaching AI to communicate sounds like humans do Inspired by the human vocal tract, a new AI model can produce and understand vocal imitations of everyday sounds. The method could help build new sonic interfaces for entertainment and education. Full story via MIT News → | |
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Study shows how households can cut energy costs An experiment in Amsterdam suggests providing better information to people can help move them out of “energy poverty.” Full story via MIT News → | |
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Q&A: The climate impact of generative AI As the use of generative AI continues to grow, Lincoln Laboratory’s Vijay Gadepally describes what researchers and consumers can do to help mitigate its environmental impact. Full story via MIT News → | |
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Interview with MIT’s President: What is expected of a world-leading university? // NHK President Sally Kornbluth joins NHK to discuss MIT’s innovation ecosystem, the MIT Climate Project, and how MIT faculty work to help nurture their students’ creativity. Full story via NHK (in Japanese) → |
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Getting an all-optical AI to handle non-linear math // Ars Technica MIT researchers developed a photonic chip that that can “compute the entire deep neural net, including both linear and non-linear operations, using photons.” Full story via Ars Technica→ |
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The scientist vs. the machine // The Atlantic Graduate student Aidan Toner-Rodgers discusses his research examining the productivity of scientists at an R&D lab following the introduction of AI tools to aid in the discovery of new materials. Full story via The Atlantic→ |
| | Devastating images and video emerging from Los Angeles over the past week have reminded the nation and the world about the drastic effects wildfires can have on communities. But what do scientists know about wildfire trends and how they’re related to climate change? The MIT Climate Portal: Wildfires explainer serves as a primer on wildfire science, including the growing incidence of wildfires; impacts of policies on wildfire mitigation and response; and lessons from certain counties on how we can learn to coexist with wildfires. View the explainer→ | This edition of the MIT Weekly was brought to you by thriving at MIT. 🪴 Have feedback to share? Email [email protected]. Thanks for reading, and have a great week! —MIT News |
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