Lincoln Laboratory technologies win seven R&D 100 Awards for 2025
Inventions that protect US service members, advance computing, and enhance communications are recognized among the year's most significant new products.
Inventions that protect US service members, advance computing, and enhance communications are recognized among the year's most significant new products.
An oft-ignored effect can be used to probe an important property of semiconductors, a new study finds.
Plasma Science and Fusion Center researchers created a superconducting circuit that could one day replace semiconductor components in quantum and high-performance computing systems.
Longtime MIT electrical engineer receives SPIE Frits Zernike Award for Microlithography in recognition of outstanding accomplishments in microlithographic technology.
The system will support US Army missions.
Agreement between MIT Microsystems Technology Laboratories and GlobalFoundries aims to deliver power efficiencies for data centers and ultra-low power consumption for intelligent devices at the edge.
The consortium will bring researchers and industry together to focus on impact.
The company builds water recycling, treatment, and purification solutions for some of the world’s largest brands.
With their recently-developed neural network architecture, MIT researchers can wring more information out of electronic structure calculations.
An electronic stacking technique could exponentially increase the number of transistors on chips, enabling more efficient AI hardware.
MIT and Lincoln Laboratory are among awardees of $38 million in project awards to the Northeast Microelectronics Coalition to boost U.S. chip technology innovation.
Two studies pinpoint their likely industrial sources and mitigation opportunities.
New camera chip design allows for optimizing each pixel’s timing to maximize signal-to-noise ratio when tracking real-time visual indicator of neural voltage.
A new quantum-system-on-chip enables the efficient control of a large array of qubits, moving toward practical quantum computing.
New research by a team of MIT engineers offers a guide for fine-tuning specific material properties.