Abstract: Reliable and timely data collection poses a significant challenge for underwater wireless sensor networks (UWSNs), primarily due to the extremely low data rate of underwater communication ...

Using the Two-meter Twin Telescope (TTT3), Spanish astronomers have conducted deep optical imaging of an isolated dwarf galaxy known as NGC 6789. Results of the new observations, presented November 10 ...

"The national security establishment has already been doing this for five decades but thought that no one could replicate it, so they made it highly classified." When you purchase through links on our ...

Abstract: In this letter, we propose a deep learning-based iterative residual encoder-decoder method (IRED), which provides an efficient deep learning framework for electromagnetic modeling over a ...

Neuron reconstruction is a critical step in quantifying neuronal structures from imaging data. Advances in molecular labeling techniques and optical imaging technologies have spurred extensive ...

An international team of researchers from the University of California, Los Angeles (UCLA), Vanderbilt University, and Delft University of Technology has developed an artificial intelligence (AI) ...

Ultrasound (US) imaging is a widely employed diagnostic tool used for real-time imaging of various organs and tissues using ultrasonic sound waves. The waves are sent into the body, and images are ...

I've been transcoding videos on handbrake using AV1 which I think is the latest encoder. AV1 on the Mac is often incredibly efficient. I'm talking 3gb -> 300mb efficient. Even tougher material with ...

The Colossal Foundation, in partnership with Yellowstone Forever, Grizzly Systems, and the Nez Perce Tribe, has launched a bioacoustics initiative to analyze wolf vocalizations using AI. The project ...

Deep learning (DL) is a type of artificial intelligence (AI) that utilizes artificial neural networks (ANNs) to process data through two or more layers, each of which can recognize complex features of ...