No matter how much data they learn, why do artificial intelligence (AI) models often miss the mark on human intent?

Bioprocessing data is often scattered across electronic laboratory notebooks (ELNs), laboratory information management systems (LIMS), instruments, spreadsheets, and legacy systems that don’t talk to ...

Discover how homomorphic encryption (HE) enhances privacy-preserving model context sharing in AI, ensuring secure data handling and compliance for MCP deployments.

MLFCrafter is a Python Tool that simplifies machine learning pipeline creation through chainable "crafter" components. Build, train, and deploy ML models with minimal code and maximum flexibility.

Background Fermented foods are a promising yet underexplored intervention for influencing brain function and mental health through the gut–brain axis. Objective The objective of this study was to ...

Digital engineering and modeling and simulation (M&S) are transformative approaches that enable precision, efficiency and ...

Obsessing over model version matters less than workflow.