Abstract: Characterizing and understanding graph neural networks (GNNs) is essential for identifying performance bottlenecks and facilitating their deployment in parallel and distributed systems.

"Quantum" may seem like a useless buzzword, but quantum computing is a real thing, and it's actually understandable even if ...

New research reveals why even state-of-the-art large language models stumble on seemingly easy tasks—and what it takes to fix ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Research reveals why AI systems can't become conscious—and what radically different computing substrates would be needed to ...

UNIX V4, the first ever version of the UNIX operating system in which the kernel was written in the then-new C programming ...

Explore zero-one integer programming, a key method in logical problem-solving, using binary choices for optimal decisions in finance, production, and more.

Quantum computing needs a sustainability initiative that benchmarks its carbon emissions throughout its entire life cycle ...

Introduction: The Paradox of Digital Abundance and Access Scarcity In the heart of Ghana 39;s educational landscape lies a ...

You've probably never given a second thought to the dollar bills sitting in your wallet right now. Most people don't. They're ...

Abstract: We introduce WildVideo, an open-world benchmark dataset designed to address how to assess hallucination of Large Multi-modal Models (LMMs) for understanding video-language interaction in the ...

During compilation, the Preprocessor processes the source code (SRC) to eliminate comments and expand macros or includes. The cleaned code is then forwarded to the Compiler, which converts it into ...