An evidence-based management algorithm does not improve quality of life or pain severity compared with standard care among ...

The Singapore rail operator has developed an intelligent analytics platform to support predictive maintenance and pinpoint track issues, maximising its three-hour nightly maintenance window ...

A new study by Justin Grandinetti of the University of North Carolina at Charlotte challenges one of the most dominant narratives in artificial intelligence: that modern AI systems are inherently ...

Automated decision making is basically when computers make choices on their own, using data and rules instead of a person.

While the billion-dollar question is about when quantum computing will become commercially viable, one of the problems being tackled at the moment is how to make the ...

Explore how AI in high-throughput screening improves drug discovery through advanced data analysis, hit identification and ...

In this episode of eSpeaks, Jennifer Margles, Director of Product Management at BMC Software, discusses the transition from traditional job scheduling to the era of the autonomous enterprise. eSpeaks’ ...

Objective To examine associations between participants’ perinatal factors, including harmonised birth weight and length, ...

Abstract: Urban traffic congestion remains a critical challenge for smart city development, necessitating innovative approaches to improve traffic flow and reduce delays. This study presents a novel ...

Background Current automatic software uses a fixed apparent diffusion coefficient (ADC) threshold (≤620×10⁻⁶ mm²/s) to ...

Abstract: In electric power communication networks, the effectiveness of link optimization and modification directly affects the improvement of the network reliability and transmission performance.

U.S. News compares companies to their industry peers based on a variety of company fundamentals, performance metrics and investor preferences to help you find the right stocks for your investing style ...