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 ...

The adoption of electronic patient records in hospitals will provide numerous benefits, but it will also present new issues. One of these is the creation of deadlocks, which causes delays in ...

As a CHRO or Chief Learning Officer, there are things you wish you had, but likely don't: a fast way to find internal experts, a simple method to extract ...

Affidavit Master LLC is a U.S.-based legal technology firm specializing in document automation software. The company focuses ...

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Discover how to overcome resistance in data storytelling when your insights challenge assumptions. Learn strategies to engage ...