This efficiency makes it viable for enterprises to move beyond generic off-the-shelf solutions and develop specialized models ...

For the first time, the Tibet ASγ Experiment has successfully measured magnetohydrodynamic (MHD) turbulence on scales below one parsec (approximately 3.3 light-years) within the gamma-ray halo ...

Researchers from South Korea improved solar panel dust detection by using SMOTE and stable diffusion (SD) augmentation, with SD boosting detection accuracy from 76.5% to 98.9% while preserving spatial ...

A pulsed thermal shock technique produces micron-thick flexible graphite films ten times faster than conventional methods without sacrificing crystalline quality or thermal performance.

Abstract: In this paper, we propose a novel distributed scheduling algorithm for time-division multiple access (TDMA) in diffusion-based molecular communication systems. We consider a receiver nano ...

In 2021, a technology developed at University of Michigan, called Seq-Scope, revolutionized the ability to map gene activity ...

FCS provides critical advantages in proteomics, enabling non-destructive analysis of molecular dynamics and protein interactions in live environments.

Abstract: The existing adaptive filtering algorithms in distributed networks do not take into account the case of non-zero mean non-Gaussian noise. In response to this issue, a robust diffusion kernel ...

Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...

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 ...

In this study, the antifungal activity of endophytic yeast strains isolated from the generative parts of plants in Uzbekistan ...

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 ...