Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and ...

Apart from that, we integrate the prior knowledge into existing data to construct a more powerful approximation algorithm and enrich the prediction capability to accommodate the dynamic environment.

Data centers throughout central Ohio will potentially pay more for electricity after a landmark order this week from PUCO.

The app is expected to operate on a separate algorithm and data system and users outside the US would not find this version in their app store, sources said.

We present a high-throughput, end-to-end pipeline for organic crystal structure prediction (CSP)─the problem of identifying the stable crystal structures that will form from a given molecule based ...

Multi-source data fusion (Jiao et al., 2023) makes full use of multi-sensor arrays to collect resource data, packages them into a single dataset, and then uses different algorithms to extract the ...

Overall, the data-driven approach combining clustering algorithms with variogram anisotropy modeling proved effective in geological domaining, offering a more reliable and comprehensive understanding ...

AI Big data, advanced algorithms and new approaches for space missions by Debra Werner October 17, 2024 ...

Methods A claims-based algorithm was developed to categorize patients by disease stage on the basis of the administrative claims portion of the SEER-Medicare linked data. The algorithm was validated ...