The company open-sourced an 8 billion parameter LLM, Steerling-8B, trained with a new architecture designed to make its ...
This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...
Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...
Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.
The promise of artificial intelligence in credit scoring is undeniable. By analyzing vast, non-traditional datasets from ...
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 monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
The model structure and the spatio-temporal links between SST, OHC and Nino3.4 for the global ocean obtained by using interpretable methods. Disclaimer: AAAS and EurekAlert! are not responsible for ...
Intramolecular charge transfer (ICT) is one of the most important photophysical mechanisms in organic fluorophores. Among ICT processes, TICT ...
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 ...
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