James Mulqueeney

@jamesmulqueeney.bsky.social

Research fellow at the Smithsonian National Museum of Natural History. Former PhD student at University of Southampton and Natural History Museum, London.

Highly recommend this very interesting new paper. I'll be reading it again--and then probably again & again. It's insightful, idea rich, & thought provoking even in places where I disagree w/ interpretations! 🧪 #EvoSky "Three modes of evolution? Remarks on rates of evolution and time scaling"

Three modes of evolution? Remarks on rates of evolution and time scaling

Abstract. Rates of evolution get smaller when they are measured over longer time intervals. As first shown by Gingerich, rates of morphological change meas

academic.oup.com

Our new paper on #AI for evolutionary morphology is out! This massive team effort covers the history of AI for studying morphology, reviews new tools, provides many case studies & a prospectus for using AI to progress diverse topics in evolutionary morphology. academic.oup.com/iob/article/...

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SICB journals@sicbjournals.bsky.social · 2y ago

IOB's Opportunities & Challenges in Applying AI to Evolutionary Morphology by Y He et al doi.org/10.1093/iob/... "...AI is offering vast new potential to circumvent long-standing barriers to rapid, big data analysis of phenotypes."

Fig. 1Broad definitions, relationships, and differences between artificial intelligence, machine learning, and deep learning, the sequential development of each successive subset, and their broad introductions over time (Carbonell et al. 1983; Goodfellow et al. 2016).

Laptops: check. Coffee: check. Giant box of homemade focaccia: check. And with all hands on deck, we are now ready to finish off our paper describing SPROUT, a new semi-automated (emphasis on the automated, for real this time) method for parcellating CT images into 3D segments. Stay tuned!

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