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Rensselaer Polytechnic Institute
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Ignoring the social dynamics of human-agent collaboration in science could stifle innovation and diversity in research outcomes.
Evoflux transforms how compact agents navigate tool workflows, boosting execution success rates from a mere 3% to up to 24% in real-world scenarios.
AbaqusAgent turns natural language into successful finite element analyses, achieving an 86% success rate and transforming how engineers interact with simulation tools.
FlowEvo enables agents to continuously learn and optimize their skills in real-time, achieving unprecedented accuracy in complex task environments.
AI can augment peer review by automatically extracting claims, positioning them in the literature, and executing code to verify results, revealing inconsistencies between reported and reproduced findings.
