Large context windows have dramatically increased how much information modern language models can process in a single prompt. With models capable of handling hundreds of thousands—or even millions—of ...
Abstract: This study introduces AIDE (Artificial Intelligence for Data Extraction and Dialogue in Education), an innovative platform designed to enhance data retrieval and presentation within academic ...
Big data and human height: Scientists develop algorithm to boost biobank data retrieval and analysis
Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...
The ISTA team’s interdisciplinary study combines expertise in information theory, mathematics, genomics, and software engineering. From left to right: Al Depope, Jakub Bajzik, Marco Mondelli, and ...
Starting at around 1:55 p.m. ET, Pinterest users were reporting outages with the popular pinning service. By 2:15 p.m., there were about 3,549 reports on the tracking website Downdetector, but they've ...
At a Friday news conference in Charleston, Gov. Patrick Morrisey presented his administration as a force for clean water leading a state where so many desperately lack it. “Today, we emphasize clean ...
Abstract: Accurately measuring topography in forested areas using single-baseline InSAR data is challenging due to volume scattering effects and a limited number of observations. To address these ...
effGen transforms Small Language Models into powerful AI agents. While most frameworks require massive LLMs, effGen is optimized from the ground up for efficient, smaller models — delivering fast, ...
A closed-loop framework for generating physically plausible and aesthetically coherent 3D indoor scenes through multi-turn iterative refinement. The system combines Vision-Language Model (VLM) ...
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