The company open-sourced an 8 billion parameter LLM, Steerling-8B, trained with a new architecture designed to make its ...
Intelligent manufacturing is one of the most important strategies towards the upgradation of chemical industry. The deep learning modeling technology acts as a crucial role in this industry ...
Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...
The calculation and/or the measurement of the thermal conductivity of materials is a fundamental challenge in materials science, essential for developing technologies in energy management, electronics ...
Use of a large language model (LLM) for pan-cancer automated detection of anti-cancer therapy toxicities and translational toxicity research. Computational pathology to predict docetaxel benefit in ...
A new study published in the journal Minerals sheds light on this sweeping shift. Titled Big Data and AI in Geoscience: From ...
Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.
Deep learning has become a powerful tool in quantitative finance, with applications ranging from option pricing to model calibration. However, despite its accuracy and speed, one major concern remains ...
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