Opportunities and challenges in applying AI to evolutionary morphology
Artificial intelligence (AI) is poised to revolutionise many aspects of science, including the
study of evolutionary morphology. While classical AI methods such as principal component …
study of evolutionary morphology. While classical AI methods such as principal component …
The Paradox of Predictability Provides a Bridge Between Micro-and Macroevolution
The relationship between the evolutionary dynamics observed in contemporary populations
(microevolution) and evolution on timescales of millions of years (macroevolution) has been …
(microevolution) and evolution on timescales of millions of years (macroevolution) has been …
Accelerating segmentation of fossil CT scans through Deep Learning
EM Knutsen, DA Konovalov - Scientific Reports, 2024 - nature.com
Abstract Recent developments in Deep Learning have opened the possibility for automated
segmentation of large and highly detailed CT scan datasets of fossil material. However …
segmentation of large and highly detailed CT scan datasets of fossil material. However …
Artificial Intelligence-powered fossil shark tooth identification: Unleashing the potential of Convolutional Neural Networks
All fields of knowledge are being impacted by Artificial Intelligence. In particular, the Deep
Learning paradigm enables the development of data analysis tools that support subject …
Learning paradigm enables the development of data analysis tools that support subject …
Automatic Segmentation of Early Triassic Vertebrate Fossil CT Scans: Reducing Human Annotation Time through Deep Learning
EM Knutsen, DA Konovalov - 2024 - researchsquare.com
Abstract Recent developments in Deep Learning have opened the possibility for automated
segmentation of large and highly detailed CT scan datasets of fossil material. However …
segmentation of large and highly detailed CT scan datasets of fossil material. However …