According to Mercer's 2024 AI in Investment Management global manager survey, 91% of asset managers either currently use AI (54%) or plan to use it within their investment strategy or asset-class ...

Let's discuss why AI-powered data management is becoming essential in industrial automation and how organizations can build it successfully.

Tandem Diabetes Care, Inc. delivered strong Q4 '25 results, with revenue and gross margin beats driving a 32% stock surge.

MyHomeQuote introduced Performance Prediction Algorithm, technology designed to move campaigns from reactive optimization to predictive performance management.

National University Hospital CMIO Dr Ling Zheng Jye outlines the changes necessary for the National University Health System ...

To his credit, Kasy is a realist here. He doesn’t presume that any of these proposals will be easy to implement. Or that it will happen overnight, or even in the near future. The troubling question at ...

From litigation to federal prisons to criminal investigations, artificial intelligence appears to have touched nearly every corner of the Department of Justice in the past year. Just two years ago, ...

Abstract: An uncertainty predictive observer-based model-free adaptive disturbance rejection control (UPO-MFADRC) is developed for nonaffine nonlinear systems with uncertain nonlinearities and ...

Abstract: Modular Multilevel Matrix Converters (M3C) provide an efficient solution for high-power ac-to-ac conversion, offering high modularity, superior power quality, and reduced power filtering ...

Self-supervised reinforcement learning is a technique where agents learn useful representations and skills from the environment through self-generated tasks, such as predicting next states or learning ...

However, there is still no consensus on the most effective algorithm or model. Objective: To evaluate and compare the performance of existing GDM prediction models constructed using AI algorithms and ...