Abstract: This work considers a parallel task execution strategy in vehicular edge computing (VEC) networks, where edge servers are deployed along the roadside to process offloaded computational tasks ...

Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...

There is always the promise of using more computing power for a single task. Your computer has multiple CPUs now, surely. Your video card has even more. Your computer is probably networked to a slew ...

Abstract: Many computing systems are constrained by the amount of available shared memory they are allowed to use. Modeling an application with a task graph makes it possible to analyze and optimize ...

The University Research Computing Facility (URCF) is pleased to announce our Summer 2025 workshop series. The URCF provides support for computational research at Drexel. These workshops are open to ...

Search engines have come a long way from relying on exact match keywords. Today, they try to understand the meaning behind content — what it says, how it says it, and whether it truly answers the ...

Anduril announced its ninth acquisition on Monday with the purchase of Dublin’s Klas, makers of ruggedized edge computing equipment for the military and first responders. Anduril wouldn’t reveal ...

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A Python-based application for summarizing text using Extractive (TF-IDF) and Abstractive (T5 Transformer) techniques. Features an intuitive Streamlit UI for seamless interaction. Simply paste your ...