A machine learning approach leverages nuclear microreactor symmetry to reduce training time when modeling power output ...

Safety lifecycle software aggregates multiple data sources, and makes real-time updates accessible to all authorized users ...

The AI-augmented framework demonstrates how artificial intelligence strengthens human capital through predictive hiring, ...

Bhagya's technical accomplishments are remarkable, her people-first philosophy is equally impactful. She's a strong advocate ...

This article explores the current applications of artificial intelligence (AI) in chromatography. It anticipates AI’s ...

Predictive processing is an influential framework in neuroscience that posits the brain as a prediction machine—constantly generating and updating internal ...

Governance and simplification are no longer optional; marketers must streamline their stacks to regain control, cut waste and ...

Maximum efficiency per ampere (MEPA) control, also known as loss minimization (LM) control, aims to minimize losses in permanent magnet synchronous machine (PMSM) drive systems by optimizing the ...

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

Networked switching systems, which integrate multiple subsystems controlled by switching signals, play a crucial role in modern cyber-physical applications such as industrial automation and smart ...

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...

As AI reshapes human capital management, James Saxton, VP Global Product Ambassador at Dayforce, shares insights on how ...