Researchers explore quantum machine learning to detect financial risk faster in high-frequency trading, achieving promising accuracy in experimental models.
However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...
“Industrial AI must start with trusted data,” said Steve Mason, COO of Canary Labs. “Our historian has long been the foundation for operational visibility. By natively integrating with SORBA.ai’ SORBA ...
Researchers from Edith Cowan University (ECU) are developing new technology that could change how drunk and dangerous drivers are identified. Using a single 3D deep learning model, researchers are ...
Read more about AI and machine learning drive digital transformation across global mining operations on Devdiscourse ...
Sasha S. Rao and Todd M. Hopfinger of Sterne, Kessler, Goldstein & Fox PLLC discuss challenges in meeting patent law's disclosure requirements for inventions involving artificial intelligence, ...
Astronomers using the MeerKAT radio telescope in South Africa have discovered the most distant hydroxyl megamaser ever detected. It is located in a violently merging galaxy more than 8 billion ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a quantum AI simulator that adopts a hybrid CPU-FPGA method. This system performs ...
OBJECTIVE: Obesity is a global health problem. The aim is to analyze the effectiveness of machine learning models in predicting obesity classes and to determine which model performs best in obesity ...
Monitoring of natural resources is a major challenge that remote sensing tools help to facilitate. The Sissili province in Burkina Faso is a territory that includes significant areas dedicated for the ...
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In August 2024, the US National Institute of Standards and Technology (NIST) finalized three Post-Quantum Cryptography (PQC) standards, known as FIPS 203, 204, and 205. These standards incorporate ...