Abstract: Text parallelization is a crucial aspect of natural language processing, aiming to enhance the efficiency of information retrieval and analysis. This project focuses on leveraging the Term ...

Abstract: Throughout the last decade, the importance of parallel computing has risen greatly to match the ever-increasing computational demand. Frameworks such as OpenMP and OpenCL allow easy ...

With the growing model size of deep neural networks (DNN), deep learning training is increasingly relying on handcrafted search spaces to find efficient parallelization execution plans. However, our ...

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Engineered a multi-agent research pipeline that reduced task time from 4h → 10m through parallelization and secure tool calls; implemented RL evaluators (reward, off-policy Q-learning) to refine ...

The industry hype says "more agents is all you need," but new data shows that strictly sequential tasks and tool-heavy ...

Electronics keep shrinking, but silicon is starting to run into physical limits. To go smaller, researchers are turning to ...

Motors and gear trains with micrometer dimensions and powered by light are fabricated using semiconductor lithography and ...

The industry hype says "more agents is all you need," but new data shows that strictly sequential tasks and tool-heavy integrations fail at scale.

Microsoft has officially introduced an NVMe driver for Windows Server 2025 for faster SSD access. Windows 11 also has it.