Phenomenology and Paradigmatic Strain: the Trend Toward Reflexivity in American Sociology.

Junkin, William

doi:10.31390/gradschool_disstheses.2736

Cited by 1 publication

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“…(ii) Irreproducibility may also be due to proprietary tool scripting languages, or report and logfile formats, which cannot be published. Here, TILOS efforts elicited policy changes from major electronic design automation (EDA) tool vendors during the second half of 2022 (Junkin, 2022). (4) Benchmarking can be forbidden by suppliers of optimization software tools.…”

Section: Knowledge Transfermentioning

confidence: 99%

The TILOS AI Institute: Integrating optimization and AI for chip design, networks, and robotics

Kahng,

Mazumdar,

Reeves

et al. 2024

AI Magazine

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Optimization is a universal quest, reflecting the basic human need to do better. Improved optimizations of energy‐efficiency, safety, robustness, and other criteria in engineered systems would bring incalculable societal benefits. But, fundamental challenges of scale and complexity keep many such real‐world optimization needs beyond reach. This article describes The Institute for Learning‐enabled Optimization at Scale (TILOS), an NSF AI Research Institute for Advances in Optimization that aims to overcome these challenges in three high‐stakes use domains: chip design, communication networks, and contextual robotics. TILOS integrates foundational research, translation, education, and broader impacts toward a new nexus of optimization, AI, and data‐driven learning. We summarize central challenges, early progress, and futures for the institute.

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Section: Knowledge Transfermentioning

confidence: 99%