IEEE

Secure Multi-Party Computation for Machine Learning: A Survey

Abstract: Machine learning is a powerful technology for extracting information from data of diverse nature and origin. As its deployment increasingly depends on data from multiple entities, ensuring ...
NatureOpinion

We need a new Turing test to assess AI’s real-world knowledge

A fresh set of benchmarks could help specialists to better understand artificial intelligence.
Scientific Research Publishing

Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning ()

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...
IEEE

Machine Learning Operations (MLOps): Overview, Definition, and Architecture

Abstract: The final goal of all industrial machine learning (ML) projects is to develop ML products and rapidly bring them into production. However, it is highly challenging to automate and ...
GitHub

generative-ai

AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data.
C&EN

Experiment-Driven Atomistic Materials Modeling: A Case Study Combining X-Ray Photoelectron Spectroscopy and Machine Learning Potentials to Infer the Structure of Oxygen-Rich ...

Department of Physics, University of Warwick, Coventry CV4 7AL, U.K. Warwick Centre for Predictive Modelling, School of Engineering, University of Warwick, Coventry CV4 7AL, U.K. You are free to share ...