Adversarial examples—images subtly altered to mislead AI systems—are used to test the reliability of deep neural networks.

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

The U.S. Naval Research Laboratory (NRL) launched a remote sensing experiment to sharpen artificial intelligence (AI) applications in hyperspectral imaging across the Department of the Navy and ...

“The Navy has always depended on its ability to sense, interpret, and respond to the environment,” said NRL’s Information Operations Branch Head Gautam Trivedi, Ph.D. “With CHROMA, we’re building the ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...

Introduction: Monitoring grazing intensity is crucial for maintaining ecological balance and promoting the sustainable management of sandy grasslands. Traditional ground surveys and single-source ...

As we scale up spectral algorithms to larger datasets enabled by #7225 we should investigate opportunities to reduce peak memory usage throughout the algorithm. Specifically on the UMAP side, we ...

Abstract: SpecFEM3D using the spectral element method is widely used because of its compatibility with simulation in multiple media and high accuracy. However, its running speed on domestic ARM chip ...

Biologists are very interested in how proteins, lipids and other compounds are organized and interact in systems. Very few organizational details can be gained by using standard transmission-based ...

Companies are increasingly using pricing algorithms and other AI systems to develop and improve their ability to promptly respond to market conditions, innovate product offerings, and set prices.