[HTML][HTML] Artificial intelligence in paleontology

C Yu, F Qin, A Watanabe, W Yao, Y Li, Z Qin, Y Liu… - Earth-Science …, 2024 - Elsevier
The accumulation of large datasets and increasing data availability have led to the
emergence of data-driven paleontological studies, which reveal an unprecedented picture of …

Opportunities and challenges in applying AI to evolutionary morphology

Y He, JM Mulqueeney, EC Watt… - Integrative …, 2024 - academic.oup.com
Artificial intelligence (AI) is poised to revolutionize many aspects of science, including the
study of evolutionary morphology. While classical AI methods such as principal component …

Challenges and opportunities in applying AI to evolutionary morphology

Y He, JM Mulqueeney, EC Watt, A Salili-James… - 2024 - ecoevorxiv.org
Artificial intelligence (AI) is poised to transform many aspects of society, and the study of
evolutionary morphology is no exception. Classical AI methods such as Principal …

AI in paleontology

C Yu, F Qin, A Watanabe, W Yao, Y Li, Z Qin, Y Liu… - bioRxiv, 2023 - biorxiv.org
Accumulating data have led to the emergence of data-driven paleontological studies, which
reveal an unprecedented picture of evolutionary history. However, the fast-growing quantity …

Automatic Segmentation of Osteonal Microstructure in Human Cortical Bone Using Deep Learning: A Proof of Concept

A Littek, SJ McKenna, WX Chiam, EF Kranioti, E Trucco… - Biology, 2023 - mdpi.com
Simple Summary Human cortical bone microstructure assessment is used in biological and
forensic anthropology for different purposes. For example, studies have investigated the …

[图书][B] Fossil, data, and information driven paleontology

C Yu - 2022 - search.proquest.com
Paleontology is based on fossils but what is the link between fossil specimens and our
reconstruction of life history seems to be ambiguous. The majority of paleontological studies …

[PDF][PDF] Integrative Organismal Biology

Y He, JM Mulqueeney, EC Watt, A Salili-James… - 2024 - researchgate.net
Artificial intelligence (AI) is poised to revolutionize many aspects of science, including the
study of evolutionary morphology. While classical AI methods such as principal component …