Underground, intricate networks of soil fungi underpin the functioning of terrestrial ecosystems. Yet despite their global importance, only 30% of global ecosystems have been sampled for these fungal ...

Dynamic Image Analysis directly addresses micro-flow imaging’s inherent scalability and workflow limitations. Both ...

Mercury 2 introduces diffusion LLMs to text, delivering 10x faster speeds for AI agents and production workflows without sacrificing reasoning power.

The new Mercury 2 AI model uses diffusion reasoning to generate 1,000 tokens per second; it runs about 5x faster than Haiku, speed limits are ...

As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...

Respiratory supercomplex formation relieves molecular strain of mitochondrial membranes and reshapes global protein motions, linking membrane reorganization to respiratory function.

Stephen Whitelam, a researcher whose work spans thermodynamic theory and machine learning, has described a framework for generating images from pure noise by using the physics of heat and motion ...

Interstitial fluid mirrors many biomarkers found in blood and has attracted growing interest as a target for painless diagnostics. Microneedles offer a way to access this fluid through the skin, but ...

Trajectory optimization for robotic systems remains a challenging problem. This is especially true for robotic systems featuring nonlinear dynamics and many degrees of freedom. Data-based or ...

Abstract: Clinical imaging protocols designed to accelerate acquisition or reduce radiation dose often lead to degraded image quality, compromising diagnostic confidence. The heterogeneity in ...

ABSTRACT: Health infrastructure is a major socioeconomic and territorial equity issue, as its availability improves both local population living conditions and makes their areas attractive. The ...