ScienceDaily: Computers & Math News

The astronomers' goal: find an artificial intelligence algorithm to interpret microlensing events captured by the upcoming Roman Space Telescope and speed detection of exoplanets around other stars. They achieved that, but the AI told them something unexpected and deep: the theory used to infer stellar and exoplanetary masses and orbits from observations was incomplete. Digging into the mathematics, they uncovered a theory that explains all types of microlensing events and possible ambiguities in interpreting them.

Researchers have demonstrated the first three-qubit high-fidelity iToffoli native gate in a superconducting quantum information processor and in a single step. This demonstration adds a novel easy-to-implement native three-qubit logic gate for universal quantum computing.

Mastering control over the dynamic interplay among optical, chemical and mechanical behavior in single-material, liquid crystalline elastomers, results in microposts that combine bending, twisting and turning into complex dances. The advancement could contribute toward further development of soft robotics and other devices.

A laser pulse that sidesteps the inherent symmetry of light waves could manipulate quantum information, potentially bringing us closer to room temperature quantum computing.

Researchers have demonstrated a new, ready-to-use superconducting cable system that uses helium gas for crucial cooling.

Researchers have used quantum computers to simulate spin defects, an important material property for the next generation of quantum computers.

New research illustrates neuromorphic technology is up to sixteen times more energy-efficient for large deep learning networks than other AI systems.

Researchers have developed an algorithmic planner that helps delegate tasks to humans and robots. The planner, 'Act, Delegate or Learn' (ADL), considers a list of tasks and decides how best to assign them. The researchers asked three questions: When should a robot act to complete a task? When should a task be delegated to a human? And when should a robot learn a new task?