For bionic underwater robots, it is a great challenge for depth control due to model uncertainty and strong nonlinearity. To this end, we propose a data-driven model predictive control (MPC) approach ...

Amid growing controversy over how tech giants harvest user data for AI, the Allen Institute for AI (AI2) has introduced a ...

Why a fundamental reimagining of how clinical studies operate is still necessary to achieve a true paradigm shift—and shed ...

Key Takeaways The transition requires upskilling in Python, statistics, and machine learning.Practical experience with ...

Many supply chain teams are exploring predictive analytics to improve the accuracy of demand planning. These models apply statistical and machine learning techniques to identify patterns in ...

Prakash Govindan, Gradiant’s co-founder and COO, discusses the challenges facing both the data centre and semiconductor industries when it comes to water usage.

Navigating Hong Kong’s Data Centre Real Estate Landscape. Hong Kong's data centre market is booming, fueled by AI and cloud ...

Linear power flow model is advantageous for the fast operational analysis and the efficient optimization of the power systems. In this letter, we propose a hybrid physical model-driven and data-driven ...