Expanding robot perception
Associate Professor Luca Carlone is working to give robots a more human-like awareness of their environment.
Associate Professor Luca Carlone is working to give robots a more human-like awareness of their environment.
Using the island as a model, researchers demonstrate the “DyMonDS” framework can improve resiliency to extreme weather and ease the integration of new resources.
After an illustrious career at Idaho National Laboratory spanning three decades, Curtis Smith is now sharing his expertise in risk analysis and management with future generations of engineers at MIT.
The program will invite students to investigate new vistas at the intersection of music, computing, and technology.
The innovations map the ocean floor and the brain, prevent heat stroke and cognitive injury, expand AI processing and quantum system capabilities, and introduce new fabrication approaches.
The software tool NeuroTrALE is designed to quickly and efficiently process large amounts of brain imaging data semi-automatically.
Screen-reader users can upload a dataset and create customized data representations that combine visualization, textual description, and sonification.
In class 4.500 (Design Computation), Professor Larry Sass teaches the thoughtful and experimental process of design through the familiar idea of a chair, while exploring “foundational technologies.”
Lincoln Laboratory–developed Timely Address Space Randomization (TASR) was transferred to two commercial providers of cloud-based services.
After acquiring data science and AI skills from MIT, Jospin Hassan shared them with his community in the Dzaleka Refugee Camp in Malawi and built pathways for talented learners.
Speranza system brings hope to users that the package they download is functional software, not malware.
Rama Ramakrishnan helps companies explore the promises and perils of large language models and other transformative AI technologies.
The MIT spinout Silverthread helps companies transform complex codebases into modular systems that can be changed or updated without headaches.
Open-source software by MIT MAD Fellow Jonathan Zong and others in the MIT Visualization Group reveals online graphics’ embedded data in the user’s preferred degree of granularity.
MIT Plasma Science and Fusion Center will receive DoE support to improve access to fusion data and increase workforce diversity.