Microelectronics projects awarded CHIPS and Science Act funding
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.
State of Supply Chain Sustainability report reveals growing investor pressure, challenges with emissions tracking
The 2024 report highlights five years of global progress but uncovers gaps between companies’ sustainability goals and the investments required to achieve them.
Aligning economic and regulatory frameworks for today’s nuclear reactor technology
Today’s regulations for nuclear reactors are unprepared for how the field is evolving. PhD student Liam Hines wants to ensure that policy keeps up with the technology.
AI pareidolia: Can machines spot faces in inanimate objects?
New dataset of “illusory” faces reveals differences between human and algorithmic face detection, links to animal face recognition, and a formula predicting where people most often perceive faces.
Helping robots zero in on the objects that matter
A new method called Clio enables robots to quickly map a scene and identify the items they need to complete a given set of tasks.
MIT launches new Music Technology and Computation Graduate Program
The program will invite students to investigate new vistas at the intersection of music, computing, and technology.
New security protocol shields data from attackers during cloud-based computation
The technique leverages quantum properties of light to guarantee security while preserving the accuracy of a deep-learning model.
Fifteen Lincoln Laboratory technologies receive 2024 R&D 100 Awards
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.
Research quantifying “nociception” could help improve management of surgical pain
New statistical models based on physiological data from more than 100 surgeries provide objective, accurate measures of the body’s subconscious perception of pain.
3 Questions: Should we label AI systems like we do prescription drugs?
Researchers argue that in health care settings, “responsible use” labels could ensure AI systems are deployed appropriately.