DFML

Dover Corporation DOV announced that its subsidiary Innovative Control Systems, a brand of OPW Vehicle Wash Solutions, launched an AI-powered license-plate recognition (LPR) solution. This move will improve operational efficiency and satisfaction for Dover's customers.

Data from AbbVie and Johnson & Johnson will fine-tune OpenFold3 in a confidentiality-preserving environment, powered by Apheris.

In this rapidly growing digital era, privacy-preserving machine learning (PPML) is revolutionizing data-driven applications by enabling organizations to harness vast datasets while ensuring user privacy.

DeepSeek AI is designed to offer open-source LLMs, efficient architecture, advanced reasoning, multimodal learning. Here are five things you need to know about DeepSeek as well as ongoing coverage of this new AI development.

Leading the list of announcements is a new partnership with Hugging Face Inc., the world's largest repository of open-source machine learning models. Under the partnership, JFrog will provide advanced security scanning across all models hosted on the Hugging Face Hub, with a "JFrog Certified" badge highlighting models that pass verification.

The integration of ML-driven cybersecurity frameworks into financial institutions is an ongoing process, requiring continuous refinement to adapt to emerging cyber threats. Future research should explore the use of federated learning to enhance cybersecurity collaboration across financial networks while preserving data privacy.

A research team, led by Professor Jimin Lee and Professor Eisung Yoon in the Department of Nuclear Engineering at UNIST, has unveiled a deep learning-based approach that significantly accelerates the computation of a nonlinear Fokker-Planck-Landau (FPL) collision operator for fusion plasma.

Abstract The nonlinear collision operator consumes a significant amount of computation time in tokamak whole-volume modeling, and in current numerical