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

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 ...

AI hardware needs to become more brain-like to meet the growing energy demands of real-world applications, according to researchers. In a study published in Frontiers in Science, scientists from ...

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 ...

Apple launched a slate of new iPhones on Tuesday loaded with the company's new A19 and A19 Pro chips. Along with an ultrathin iPhone Air and other redesigns, the new phones come with a less flashy ...

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 ...

Memory allocation simulator in C implementing First/Best/Worst Fit algorithms with automatic hole merging, compaction, and interactive/scripted modes ...