Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

I studied computer science at University College Dublin, where the four-year course covered a broad range of topics. We ...

Abstract: Dynamic memory management is an important aspect of modern software engineering techniques. However developers of real-time systems avoid using it because they fear that the worst-case ...

1 School of Automotive Engineering, Huanghe Jiaotong University, Jiaozuo, China 2 College of Vehicle and Traffic Engineering, Henan University of Science and Technology, Luoyang, China Introduction: ...

Introduction: Effective energy management for optimizing energy and speed allocation for athletes in road cycling individual time trials is crucial due to the race’s long distances. Existing ...

Adaptive Asset Allocation (AAA) offers a dynamic, rules-based portfolio strategy designed to deliver steady returns while minimizing downside risk. AAA stands out for ...

Abstract: The conventional memory allocation method in distributed heterogeneous memory pool mainly uses the Spark Shuffle skew tuning execution algorithm to calculate the allocation parameters, which ...

A new technical paper titled “Elk: Exploring the Efficiency of Inter-Core Connected AI Chips with Deep Learning Compiler Techniques” was published by researchers at the University of Illinois ...

The original version of this story appeared in Quanta Magazine. One July afternoon in 2024, Ryan Williams set out to prove himself wrong. Two months had passed since he’d hit upon a startling ...