Artificial intelligence is transforming food innovation by accelerating ingredient discovery, optimizing formulations, and enabling personalized nutrition strategies to improve public health outcomes.

Facing strict privacy laws, telcos use AI-generated synthetic data as a compliant workaround to train ML models without exposing sensitive customer information.

AI excels where structure already exists. Context graphs could help marketing capture decision logic and make AI systems more reliable. The post Why marketing needs a decision infrastructure for AI ...

AI-enhanced optical spectroscopy revolutionizes food quality monitoring with rapid, non-destructive analysis, ensuring safety and reducing waste in production.

Beyond its methodological contribution, the study offers new insights into how stimulus-driven variability and internally generated gain fluctuations evolve over time and between brain areas. The ...

Incorporating multiple constraints such as task completion time, UAV payload capacity, and flight range into path optimization algorithms allows for more efficient search patterns.

The integration of advanced technologies into the energy sector has led to the emergence of smart grids, which promise enhanced efficiency, reliability, and sustainability in electricity distribution.

Abstract: This article focuses on nonconvex distributed composite optimization over time-varying multiagent networks, where each agent possesses a local objective function, composed of a nonconvex and ...

Abstract: In this article, we investigate a decentralized constrained optimization problem over time-varying directed networks. The nodes in the network aim to collaboratively minimize the aggregate ...