AIMC Topic: Biological Mimicry

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Deciphering breast cancer prognosis: a novel machine learning-driven model for vascular mimicry signature prediction.

Frontiers in immunology Aug 6, 2024
BACKGROUND: In the ongoing battle against breast cancer, a leading cause of cancer-related mortality among women globally, the urgent need for innovative prognostic markers and therapeutic targets is undeniable. This study pioneers an advanced method...
Biomarkers, Tumor Neovascularization, Pathologic Biological Mimicry Female Breast Neoplasms Machine Learning Prognosis Humans
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Can plants fool artificial intelligence? Using machine learning to compare between bee orchids and bees.

Plant signaling & behavior Jun 20, 2021
Bee orchids have long been an excellent example of how dishonest signal works in plant-animal interaction. Many studies compared the flower structures that resemble female bees, leading toward pseudo-copulation of the male bees on the flower. Using M...
Artificial Intelligence Female Animals Orchidaceae Biological Mimicry Flowers Male Image Processing, Computer-Assisted Bees Pollination
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The Camouflage Machine: Optimizing protective coloration using deep learning with genetic algorithms.

Evolution; international journal of organic evolution Jan 18, 2021
Evolutionary biologists frequently wish to measure the fitness of alternative phenotypes using behavioral experiments. However, many phenotypes are complex. One example is coloration: camouflage aims to make detection harder, while conspicuous signal...
Color Models, Biological Visual Perception Male Deep Learning Biological Mimicry Color Vision Biological Evolution Humans Female Animals Algorithms
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Looking for Mimicry in a Snake Assemblage Using Deep Learning.

The American naturalist May 27, 2020
Batesian mimicry is a canonical example of evolution by natural selection, popularized by highly colorful species resembling unrelated models with astonishing precision. However, Batesian mimicry could also occur in inconspicuous species and rely on ...
Zoology Europe Snakes Biological Mimicry Animals Deep Learning
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Unsupervised machine learning reveals mimicry complexes in bumblebees occur along a perceptual continuum.

Proceedings. Biological sciences Sep 11, 2019
Müllerian mimicry theory states that frequency-dependent selection should favour geographical convergence of harmful species onto a shared colour pattern. As such, mimetic patterns are commonly circumscribed into discrete mimicry complexes, each cont...
Animals Bees Biological Mimicry Unsupervised Machine Learning
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Optimizing colour for camouflage and visibility using deep learning: the effects of the environment and the observer's visual system.

Journal of the Royal Society, Interface May 29, 2019
Avoiding detection can provide significant survival advantages for prey, predators, or the military; conversely, maximizing visibility would be useful for signalling. One simple determinant of detectability is an animal's colour relative to its envir...
Pigmentation Biological Mimicry Deep Learning Humans Models, Biological Animals Visual Perception
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Three-dimensional reconstruction of root shape in the moth orchid Phalaenopsis sp.: a biomimicry methodology for robotic applications.

BMC research notes Apr 25, 2018
OBJECTIVE: Within the field of biorobotics, an emerging branch is plant-inspired robotics. Some effort exists in particular towards the production of digging robots that mimic roots; for these, a deeper comprehension of the role of root tip geometry ...
Robotics Plant Roots Orchidaceae Biological Mimicry Photogrammetry Imaging, Three-Dimensional
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Spine morphology and energetics: how principles from nature apply to robotics.

Bioinspiration & biomimetics Mar 14, 2018
Inspired by the locomotive advantages that an articulated spine enables in quadrupedal animals, we explore and quantify the energetic effect that an articulated spine has in legged robots. We compare two model instances of a conceptual planar quadrup...
Models, Anatomic Biological Mimicry Computer Simulation Elasticity Locomotion Biomechanical Phenomena Robotics Humans Gait Animals Spine Models, Biological Energy Metabolism
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UAS stealth: target pursuit at constant distance using a bio-inspired motion camouflage guidance law.

Bioinspiration & biomimetics Sep 21, 2017
The aim of this study is to derive a guidance law by which an unmanned aerial system(s) (UAS) can pursue a moving target at a constant distance, while concealing its own motion. We derive a closed-form solution for the trajectory of the UAS by imposi...
Acceleration Biological Mimicry Robotics Aviation Algorithms Spatial Navigation Motion Perception Animals Physical Phenomena Motion Biomimetics
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Testing the equivalency of human "predators" and deep neural networks in the detection of cryptic moths.

Journal of evolutionary biology Feb 1, 2025
Researchers have shown growing interest in using deep neural networks (DNNs) to efficiently test the effects of perceptual processes on the evolution of colour patterns and morphologies. Whether this is a valid approach remains unclear, as it is unkn...
Moths Predatory Behavior Biological Mimicry Neural Networks, Computer Animals Humans
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