Daily AI News

The new “CRESt” platform could help find solutions to real-world energy problems that have plagued the materials science and engineering community for decades.

By enabling rapid annotation of areas of interest in medical images, the tool can help scientists study new treatments or map disease progression.

Economics doctoral student Whitney Zhang investigates how technologies and organizational decisions shape labor markets.

Department of Mathematics researchers David Roe and Andrew Sutherland seek to advance automated theorem proving; four additional MIT alumni also awarded.

With SCIGEN, researchers can steer AI models to create materials with exotic properties for applications like quantum computing.

Caltech scientists have built a record-breaking array of 6,100 neutral-atom qubits, a critical step toward powerful error-corrected quantum computers. The qubits maintained long-lasting superposition and exceptional accuracy, even while being moved within the array. This balance of scale and stability points toward the next milestone: linking qubits through entanglement to unlock true quantum computation.

A new wearable device, a-Heal, combines AI, imaging, and bioelectronics to speed up wound recovery. It continuously monitors wounds, diagnoses healing stages, and applies personalized treatments like medicine or electric fields. Preclinical tests showed healing about 25% faster than standard care, highlighting potential for chronic wound therapy.

Researchers at UNSW have found a way to make atomic nuclei communicate through electrons, allowing them to achieve entanglement at scales used in today’s computer chips. This breakthrough brings scalable, silicon-based quantum computing much closer to reality.

Artificial intelligence is reshaping law, ethics, and society at a speed that threatens fundamental human dignity. Dr. Maria Randazzo of Charles Darwin University warns that current regulation fails to protect rights such as privacy, autonomy, and anti-discrimination. The “black box problem” leaves people unable to trace or challenge AI decisions that may harm them.