Abstract: A method and system for implementing one or more machine learning models for accelerating formulation design for a target product that includes converting an unsupervised formulation network model to a supervised formulation network model, deriving an outcome-contributory value for each of a plurality of distinct design variables of the supervised formulation network, identifying a dependency connection between each of a plurality of distinct pairs of distinct design variables, computing a strength of connection metric value for each of the plurality of distinct pairs of distinct design variables; and generating, via a graphical user interface, a graphical rendering of the supervised formulation model that may be manipulated to accelerate for design of a proposed formulation for a target physical product.

Abstract: A method and system for an accelerated design of a virtual product formulation based on an expert-enhanced quantitative formulation network includes sourcing qualitative expert formulation; creating a qualitative formulation network; extracting qualitative network-expansion data based on a category associated with a target product associated with the qualitative formulation network, creating a second set of network components including formulation variable nodes and formulation edge connections; integrating the second set of network components into the qualitative formulation network; transforming the qualitative formulation network integrated with the second set of network components to a quantitative formulation network; designing at least part of a virtual product formulation based on the quantitative formulation network; and generating a target formulation proposal that likely satisfies the target formulation objective based on executing the virtual product formulation as initialized.

Abstract: Methods and apparatus for providing computing services using a blockchain and distributed computing are described. The methods and apparatus allow entities with processing nodes to allow others to contract for and use the computing capacity of the processing nodes without the need for a centralized controller to distribute processing tasks and provide access to the processing results.

Abstract: Methods and apparatus for detecting that a processing node, in a network including a plurality of processing nodes, is reporting invalid results and for taking corrective actions in response to the detection are described.