With billions of devices connected to cloud applications and services, secure programming and provisioning of integrated circuits form the foundation for protecting chips. The journey to understand ...

Probabilistic programming has emerged as a powerful paradigm that integrates uncertainty directly into computational models. By embedding probabilistic constructs into conventional programming ...

One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as its boiling or melting point. Once researchers can pinpoint that prediction, ...

Cartesian Genetic Programming (CGP) is a robust evolutionary algorithm that represents computational solutions as directed graphs, incorporating redundant genes to enhance the efficiency of its search ...