A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS) has developed a ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

A new artificial intelligence approach combines deep learning with physical modeling to extract detailed aerosol properties from complex satellite observations. By learning how light intensity and ...

Yeast-based protein expression systems will likely play an important role in vaccine production during future pandemics.

Deep in Earth's ancient oceans, scientists have unearthed 97-million-year-old giant magnetofossils harboring an internal ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

According to DeepLearning.AI on Twitter, a new short course in collaboration with Qdrant introduces AI professionals to advanced multi-vector image retrieval techniques. Led by Senior Developer ...

ABSTRACT: Aiming at the problems of well-developed dominant seepage channels, prominent viscous fingering phenomenon, complex dynamic evolution of flow fields, and difficulty in fine characterization ...

Various mathematical userdata methods exhibit discrepancies related to floating point imprecision. The expected behavior is that these functions return the same values regardless of the build. The ...

The flexibility matrix finds extensive application in detecting damage in civil and mechanical engineering structures, a focus explored in-depth within this paper. This study meticulously examines ...

Abstract: This paper proposes a discontinuous current vector control method for a three-phase switched reluctance motor driven by an asymmetric H-bridge converter. The proposed method enables vector ...