Inspired by the Japanese art of kirigami, an MIT team has designed a technique that could transform flat panels into medical devices, habitats, and other objects without the use of tools.

With reported 3x speed gains and limited degradation in output quality, the method targets one of the biggest pain points in production AI systems: latency at scale.

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...

The addition rule for probabilities determines the chance of either mutually exclusive or overlapping events happening, using ...

Explore how correlative light and electron microscopy (CLEM) enables high-resolution insights into endocytic sorting.