The PRISSMM™ cancer data modeling system, enhanced by and licensed from Memorial Sloan Kettering Cancer Center (MSK), is a state-of-the-art data modeling system that allows users to curate clinical ...

Uncertainty quantification (UQ) is a field of study that focuses on understanding, modeling, and reducing uncertainties in computational models and real-world systems. It is widely used in engineering ...

In this model, a key player—the research professional—reaches out to other departments to bring them into the AI fold. When other departments also pick up the game and start "playing ball," it ...

Data Modeling. Data Modeling and Database Design and Development – including popular approaches such as Agile and Waterfall design - provide the basis for the Visualization, and Management of, ...

Introduces a set of modeling techniques that have become a mainstay of modern artificial intelligence, cognitive science and machine learning research. These models provide essential tools for ...

Many organizations weigh the option of building a customer data platform (CDP) in-house to retain control and save on ...

A common approach for APC analysis is multilevel modeling. A multilevel model is a kind of regression model that can be fit to data that is structured in “groups,” which themselves can be units of ...

The behavior Apollo Research is testing for — “hallucinations” and “deception” in OpenAI’s safety card — happens when a model generates false information even though it has reason to ...

The linear model was given strong support by Vannevar Bush, who as President Roosevelt's science advisor and head of the Office of Scientific Research and Development wrote the influential 1945 ...

A self-taught data-miner from Baltimore outsmarted IBM’s Watson computing system—a Jeopardy! Champion—in a $500 competition aimed at developing new algorithms for predicting progression of ...