Teaching students about photonics to build up the US workforce
The Spark Photonics Foundation works with educators to get K-12 and college students interested in STEM fields, including advanced manufacturing and semiconductors.
The Spark Photonics Foundation works with educators to get K-12 and college students interested in STEM fields, including advanced manufacturing and semiconductors.
StructCode, developed by MIT CSAIL researchers, encodes machine-readable data in laser-cut objects by modifying their fabrication features.
Lincoln Laboratory hosts students enrolled in the Massachusetts Microelectronics Internship Program, aimed at training a new generation of microelectronics leaders.
J-WAFS awards 2023 Solutions Grants to bring two water-related innovations to the market.
Developed by MIT researchers, BrightMarkers are invisible fluorescent tags embedded in physical objects to enhance motion tracking, virtual reality, and object detection.
A pilot-scale system, enabled by an $82 million award from the FDA, aims to accelerate the development and production of mRNA technologies.
A new computational method facilitates the dense placement of objects inside a rigid container.
MIT Morningside Academy for Design Fellow Ganit Goldstein SM ’23 combines traditional craftsmanship and technology to transform the way clothes are produced and worn.
Experts from industry, academia, government, and nonprofits explored the future of manufacturing at the second annual Manufacturing@MIT Symposium.
MIT Mobility Forum considers whether startups can provide the infrastructure for electric vehicles, or if more automakers must step in.
FlexBoard is a flexible breadboard that enables rapid prototyping of objects with interactive sensors, actuators, and displays on curved and deformable surfaces.
A leader in manufacturing science and technology, Hart SM ’02, PhD ’06 will become department head effective July 1.
Jeff Wilke SM '93, former CEO of Amazon’s Worldwide Consumer business, brings his LGO playbook to his new mission of revitalizing manufacturing in the U.S.
A collaborative research team from the MIT-Takeda Program combined physics and machine learning to characterize rough particle surfaces in pharmaceutical pills and powders.