Condition-based maintenance (CBM) focuses on scheduling interventions according to the real-time health state of a system, ...

With Canadians now living longer than ever, the question of who will care for them — and under what conditions — when they can no longer care for themselves has become one of the country’s most ...

Using Large Action Model (LAM) trained on time-series data obtained from various customer touchpoints, such as online and ...

The Trump administration turns nuclear energy into political and technological fuel, reigniting old risks in the name of ...

Time-to-value (TTV) is the leading indicator of retention. When users experience value quickly, within the first 36 hours of ...

Innovation isn't just ideation; it's a sustained problem-solution fit through testable hypotheses, lean startup methods, MVPs ...

While many companies are interested in adopting a data fabric architecture, organizations don't realize that the essence of a true data fabric leverages embedded AI with a unified semantic layer for ...

The protocol offers a standardized framework that defines how AI systems securely connect with trusted, validated knowledge ...

A NIMS research team has developed an automated high-throughput system capable of generating datasets from a single sample of ...

We applied swim flume-mediated exercise during zebrafish caudal fin regeneration to explore mechanical loading impacts on a robust model of organ regeneration. Exercise initiated during but not after ...