For grid-scale energy storage and national energy resilience, the U.S. needs better batteries. Lawrence Livermore National ...

Image courtesy by QUE.com For decades, the search for room-temperature superconductors has been one of physics' most ...

A new physics‑informed machine‑learning method could help researchers identify two‑dimensional materials with unusual ...

BosonQ Psi Federal LLC (BQP) has secured its first federal contract, awarded through the SpaceWERX Open Topic Small Business Innovation Research (SBIR) program. The New York-based company builds ...

The Martin-Hopkins equation to assess low-density lipoprotein (LDL) cholesterol levels in blood samples has been used by ...

Researchers develop BINND, a deep learning model that predicts complex DNA-DNA binding with 83.5% accuracy, unlocking scalable DNA computing.

A technology has been developed that allows artificial intelligence to inversely determine the process conditions for quantum-dot light-emitting diode (QLED) devices—conditions that previously ...

Researchers from the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory, Northeastern University, Google ...

Biologically plausible learning now reaches 96.7% on MNIST and 61.7% on CIFAR-10 without backpropagation, as Sakana AI ...

Elorian, founded by the ex-Google Brain and DeepMind researcher Andrew Dai, believes that learning from, and reasoning about, images is fundamental to rapid intelligence gains. For almost a decade, AI ...

Sungkyunkwan University (SKKU) announced that an artificial intelligence research team from the College of Computing and ...

Although the world's major weather centers increasingly use artificial intelligence to improve forecasts, complex ...