A recent joint study between Linköping University and the Department of Forensic Genetics and Forensic Toxicology of the ...

Researchers have developed a maximum power point tracking algorithm based on the social hierarchy and hunting strategy of grey wolves. When tested under realistic shading conditions, the grey wolf ...

Abstract: This paper presents a MATLAB code for Adaptive Fuzzy Campus Placement based Optimization Algorithm (AFCPOA), a novel approach designed to address the solutions to single and multi-objective ...

This chapter introduces several popular modern control theory and optimization theory–based algorithms for parameter estimation, which can be classified as adaptive algorithm‐based, gradient‐based, ...

Former DeepMind scientists raise $5 million for Hiverge, a startup developing AI to improve code.

Researchers adapt model predictive control from engineering to epidemic response, balancing health and economic costs under ...

Companies like Bausch + Lomb and Prose are using AI in manufacturing to better predict machinery issues and increase ...

Use Google’s newest reporting and creative controls to refine targeting, optimize asset groups, and achieve incremental gains ...

Pairing artificial intelligence techniques called Q-learning and advantage actor-critic provides new way to optimize hybrid photovoltaic-thermoelectric systems.

Address overall system optimization across different fields of expertise, abstraction levels or hierarchies, and domains of ...

A new technical paper titled “Analog optical computer for AI inference and combinatorial optimization” was published by ...