Invisible machine-readable labels that identify and track objects
An MIT team develops 3D-printed tags to classify and store data on physical objects.
An MIT team develops 3D-printed tags to classify and store data on physical objects.
Using ultrathin materials to reduce the size of superconducting qubits may pave the way for personal-sized quantum devices.
MIT neuroscientists have developed a computer model that can answer that question as well as the human brain.
A new method automatically describes, in natural language, what the individual components of a neural network do.
MIT scientist Rosalind Picard collaborates with clinicians to develop tools for mental health care delivery.
The new qubits stay in “superposition” for up to 10 seconds, and could make a promising foundation for quantum computers.
Associate Professor Areg Danagoulian credits mentorship with helping him establish a path through nuclear physics.
The findings suggest voting by incarcerated people is unlikely to affect electoral outcomes, in contrast to some assumptions.
Collective intelligence methodology identifies key findings to accelerate the pace of innovation and build health resilience.
New MITEI consortium focuses on speeding the energy transition, engaging with industrial leaders to deploy clean energy advances at scale.
New work on superconducting kagome metal will aid design of other unusual quantum materials, with many potential applications.
MIT ocean and mechanical engineers are using advances in scientific computing to address the ocean’s many challenges, and seize its opportunities.
The findings could redefine the kinds of particles that were abundant in the early universe.
Catalog of planet candidates nearly doubles in size during 2020-21.
Discovery allows scientists to study crucial intermediate in battery development.