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Creators/Authors contains: "Stewart, Matthew"

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  1. ; ; ; ; ; ; ; ; ; ; et al (, Nature Communications)
    Abstract Neuromorphic computing shows promise for advancing computing efficiency and capabilities of AI applications using brain-inspired principles. However, the neuromorphic research field currently lacks standardized benchmarks, making it difficult to accurately measure technological advancements, compare performance with conventional methods, and identify promising future research directions. This article presents NeuroBench, a benchmark framework for neuromorphic algorithms and systems, which is collaboratively designed from an open community of researchers across industry and academia. NeuroBench introduces a common set of tools and systematic methodology for inclusive benchmark measurement, delivering an objective reference framework for quantifying neuromorphic approaches in both hardware-independent and hardware-dependent settings. For latest project updates, visit the project website (neurobench.ai). 
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    Free, publicly-accessible full text available December 1, 2026
  2. ; ; ; ; (, Communications of the ACM)
    A design paradigm for the future of intelligent sensors. 
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    Full Text Available 
  3. ; ; ; ; ; ; (, Communications of the ACM)
    Assessing the environmental impacts of machine learning on microcontrollers. 
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    Full Text Available 
  4. ; (, ACS Earth and Space Chemistry)
  5. ; ; ; ; ; ; ; ; ; ; et al (, Environmental Science & Technology)
    Full Text Available 
  6. ; ; ; ; ; ; ; ; ; ; et al (, Communications Earth & Environment)
    Abstract Local atmospheric recirculation flows (i.e., river winds) induced by thermal contrast between wide Amazon rivers and adjacent forests could affect pollutant dispersion, but observational platforms for investigating this possibility have been lacking. Here we collected daytime vertical profiles of meteorological variables and chemical concentrations up to 500 m with a copter-type unmanned aerial vehicle during the 2019 dry season. Cluster analysis showed that a river-forest recirculation flow occurred for 23% (13 of 56) of the profiles. In fair weather, the thermally driven river winds fully developed for synoptic wind speeds below 4 m s−1, and during these periods the vertical profiles of carbon monoxide and total oxidants (defined as ozone and nitrogen dioxide) were altered. Numerical modeling shows that the river winds can recirculate pollution back toward the riverbank. There are implications regarding air quality for the many human settlements along the rivers throughout northern Brazil. 
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  7. ; ; ; ; ; ; ; ; (, Environmental Science & Technology)