A trio of AI researchers at KAIST AI, in Korea, has developed what they call a Chain-of-Zoom framework that allows the generation of extreme super-resolution imagery using existing super-resolution ...

Approximately 30% of global carbon dioxide (CO2) emissions are removed by terrestrial vegetation through photosynthesis.

Abstract Advancements in geostationary satellites allow monitoring of terrestrial photosynthesis at sub-daily scales, offering unprecedented ...

Large and complex sunspot groups characterize the surface of the dynamic sun during its activity cycle. A new camera system ...

A new camera system has restored the full field of view of the VTT, capturing 8K images using 100 short exposures recorded at ...

However, conventional scalp EEG has a low spatial resolution due to ... acoustoelectric coupling signals with a high spatial and temporal resolution. "In view of this, we established a ...

So, it's no surprise that Qualcomm has announced Snapdragon Game Super Resolution ... of FSR was a low-quality and pretty basic spatial upscaler which was then replaced by temporal upscaling ...

Here, we present a photoelectron signal obtained by a time-frequency entangled photon pair with high spectral ... samples with low photon fluxes. Since the spectral resolution is achieved by electron ...

The high temporal-resolution data revealed dynamic changes in sediment-water ... In coastal waters worldwide, oxygen levels are declining. Zones of low oxygen overwhelmingly occur near human ...

Now, Google has developed two AI-based tools based on diffusion models that can convert low-res images into high-quality photos. Dubbed as Super-Resolution via Repeated Refinements (SR3) and Cascaded ...