Cold ytterbium atoms were used to test a fundamental theory which describes phenomena in solids such as magnetism and superconductivity.
Quantum bits that exist in two time dimensions
Extra time dimensions provide scientists with a new way to think about phases of matter for more stable qubits and robust quantum computers.
Machine learning helps create polymer electrolyte for batteries
Automated molecule design through machine learning helps scientists identify and synthesize a new polymer electrolyte for lithium-ion batteries.
Composite materials illuminated with machine learning
Researchers take a different approach to machine learning to uncover the physics of optics in composite materials.
Ada Lovelace, prophet of the computer age
Credited as one of the first computer scientists, Ada Lovelace saw the potential of computers a century before any were ever built.
Embedding data in quantum states for machine learning
Quantum computing to process large amounts of data tested by bringing together complementary and versatile quantum processors.
What can Shakespeare teach us about climate action?
When researchers create narratives that invite communities into the storytelling, the outcome can be more responsive, relevant, and just.
Continual learning, just like humans
An in-memory computing prototype provides a promising solution for edge computing systems to implement continual learning.
Are biohybrid electronics the future?
A new device setup enables an interface between biomolecules and electronic materials for biohybrid electronics.
Robots in the workforce: How can we compete?
Researchers calculate the automation risk of almost 1000 existing occupations and provide alternatives based on skill set.