Abstract: Hyperspectral unmixing addresses the challenge of mixed pixels in hyperspectral images by identifying the number of pure pixels (endmembers), extracting their spectral signatures, and ...

Kirk was speaking on his show, "The Charlie Kirk Show," on July 13, 2023. He was talking specifically about television presenter Joy Reid; former first lady Michelle Obama; then-U.S. Rep. Sheila ...

Abstract: As the scale of both data and models surpasses the capabilities of edge devices, the utilization of parallel and distributed systems has become increasingly crucial. This paper overviews the ...

The recent emergence of DeepSeek’s remarkably cost-efficient large language models has sent shockwaves through the AI industry, not just for what it achieved, but for how efficiently it achieved it.

Differential power processing (DPP) architectures are effective solutions for photovoltaic (PV) systems experiencing uncertainties in environmental conditions, such as non-uniform irradiation, which ...

In this study, we delve into the realm of efficient Big Data Engineering and Extract, Transform, Load (ETL) processes within the healthcare sector, leveraging the robust foundation provided by the ...

A new technical paper titled “Signal processing architecture for a trustworthy 77GHz MIMO Radar” was published by researchers at Fraunhofer FHR, Ruhr University Bochum, and Wavesense Dresden GmbH.

For decades, my dad has been saying that he doesn’t want to hear a word about self-driving cars until they exist fully and completely. Until he can go to sleep behind the wheel (if there is a wheel) ...

School of Optoelectronic Science and Engineering & Collaborative Innovation Center of Suzhou Nano Science and Technology, Soochow University, Suzhou 215006, China Key Lab of Advanced Optical ...

This manuscript presents the library AI4HPC with its architecture and components. The library enables large-scale trainings of AI models on High-Performance Computing systems. It addresses challenges ...