New hardware offers faster computation for artificial intelligence, with much less energy
Engineers working on “analog deep learning” have found a way to propel protons through solids at unprecedented speeds.
Engineers working on “analog deep learning” have found a way to propel protons through solids at unprecedented speeds.
Cheap and quick to produce, these digitally manufactured plasma sensors could help scientists predict the weather or study climate change.
Researchers demonstrate two security methods that efficiently protect analog-to-digital converters from powerful attacks that aim to steal user data.
Researchers show they can control the properties of lab-grown plant material, which could enable the production of wood products with little waste.
MIT’s LEAP at MIT.nano is the first in a network to advance manufacturing for the state.
MIT, RPI, and SUNY convene a national conversation on semiconductor tech translation and hard-tech startups.
MIT AI Hardware Program launches with five inaugural companies to advance AI technologies for the next decade.
Virtual conference gathered students, faculty, and industry partners to explore the future of microsystems and nanotechnology.
Engineers build a lower-energy chip that can prevent hackers from extracting hidden information from a smart device.
MIT researchers lay out a strategy for how universities can help the US regain its place as a semiconductor superpower.
Ruonan Han seeks to develop next-generation electronic devices by harnessing terahertz waves.
A former department head who established the MEng degree for EECS undergraduates, Penfield developed courses illuminating the equivalence of information and thermodynamic entropy.
Eight faculty members have been granted tenure in five departments across the MIT School of Engineering.
Student committee delivers interactive conference on microsystems and nanoscience.
Study is first demonstration of a fully 3D-printed thruster using pure ion emission for propulsion.