Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning. python data-science machine-learning numpy scikit-learn pandas probabilistic ...

The security tracking control problem is addressed for nonlinear discrete-time networked control systems (NCSs) subject to energy-constrained denial-of-service (EC-DoS) attacks. A probabilistic ...

The template identifies headers, common text, and a set of data fields and terminologies that will be the basis for efficiencies in data exchange. These ICH documents create an international standard ...

The Model Context Protocol (MCP) is an open standard designed to standardize how AI applications (clients/hosts) connect to and interact with external data sources and tools (servers). Think of it ...

Gossip protocols are designed to operate in very large, decentralised networks. A node in such a network bases its decision to interact (gossip) with another node on its partial view of the global ...

Snowflake wants to reduce enterprises’ reliance on data engineers and data scientists for unstructured data analysis with its new SQL functions powered by generative AI.