The system's ability to learn and adapt from operational data resulted in continuous performance improvements over time. Hospital administrators reported significant reductions in scheduling conflicts ...
Cloud operators utilize collective communication optimizers to enhance the efficiency of the single-tenant, centrally managed training clusters they manage. However, current optimizers struggle to ...
Michigan football started out spring ball on Tuesday and had its first of 15 practices (including the spring game on April 19) in preparation for the 2025 season. The deeper side of the ball between ...
The Cleveland Browns are having to find some hidden gems on the bench with the latest injuries to the offensive line affecting the lineup. If the Cleveland Browns already didn't have enough problems ...
Taylor Swift's music has longevity; that can't be denied. Six years after its release, "Christmas Tree Farm" returned to the U.S. Spotify chart at #113 with 348k streams. Swifties are, apparently, ...
aArtificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA bDepartment of Radiation Oncology, Brigham and Women’s Hospital, Dana-Farber Cancer ...
Abstract: Recent advancements in deep neural networks heavily rely on large-scale labeled datasets. However, acquiring annotations for large datasets can be challenging due to annotation constraints.
Abstract: Traffic flow prediction plays a crucial role in Intelligent Transportation Systems (ITS), as it substantially enhances traffic management efficiency, alleviates congestion, and improves road ...
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