AIMC Topic: Animals
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Mitochondrial segmentation and function prediction in live-cell images with deep learning.
Nature communications
Jan 16, 2025
Mitochondrial morphology and function are intrinsically linked, indicating the opportunity to predict functions by analyzing morphological features in live-cell imaging. Herein, we introduce MoDL, a deep learning algorithm for mitochondrial image seg...
Simulating fish autonomous swimming behaviours using deep reinforcement learning based on Kolmogorov-Arnold Networks.
Bioinspiration & biomimetics
Jan 16, 2025
The study of fish swimming behaviours and locomotion mechanisms holds significant scientific and engineering value. With the rapid advancements in artificial intelligence, a new method combining deep reinforcement learning (DRL) with computational fl...
Robust estimation of skin physiological parameters from hyperspectral images using Bayesian neural networks.
Journal of biomedical optics
Jan 16, 2025
SIGNIFICANCE: Machine learning models for the direct extraction of tissue parameters from hyperspectral images have been extensively researched recently, as they represent a faster alternative to the well-known iterative methods such as inverse Monte...
Spatio-temporal risk prediction of leptospirosis: A machine-learning-based approach.
PLoS neglected tropical diseases
Jan 16, 2025
BACKGROUND: Leptospirosis is a neglected zoonotic disease prevalent worldwide, particularly in tropical regions experiencing frequent rainfall and severe cyclones, which are further aggravated by climate change. This bacterial zoonosis, caused by the...
Edge intelligence for poultry welfare: Utilizing tiny machine learning neural network processors for vocalization analysis.
PloS one
Jan 16, 2025
The health of poultry flock is crucial in sustainable farming. Recent advances in machine learning and speech analysis have opened up opportunities for real-time monitoring of the behavior and health of flock. However, there has been little research ...
The regulatory landscape of 5' UTRs in translational control during zebrafish embryogenesis.
Developmental cell
Jan 15, 2025
The 5' UTRs of mRNAs are critical for translation regulation during development, but their in vivo regulatory features are poorly characterized. Here, we report the regulatory landscape of 5' UTRs during early zebrafish embryogenesis using a massivel...
Decoding the blueprint of receptor binding by filoviruses through large-scale binding assays and machine learning.
Cell host & microbe
Jan 15, 2025
Evidence suggests that bats are important hosts of filoviruses, yet the specific species involved remain largely unidentified. Niemann-Pick C1 (NPC1) is an essential entry receptor, with amino acid variations influencing viral susceptibility and spec...
Neural mechanisms of relational learning and fast knowledge reassembly in plastic neural networks.
Nature neuroscience
Jan 15, 2025
Humans and animals have a striking ability to learn relationships between items in experience (such as stimuli, objects and events), enabling structured generalization and rapid assimilation of new information. A fundamental type of such relational l...
Acrobatics at the insect scale: A durable, precise, and agile micro-aerial robot.
Science robotics
Jan 15, 2025
Aerial insects are exceptionally agile and precise owing to their small size and fast neuromotor control. They perform impressive acrobatic maneuvers when evading predators, recovering from wind gust, or landing on moving objects. Flapping-wing propu...
A framework for assessing reliability of observer annotations of aerial wildlife imagery, with insights for deep learning applications.
PloS one
Jan 15, 2025
There is growing interest in using deep learning models to automate wildlife detection in aerial imaging surveys to increase efficiency, but human-generated annotations remain necessary for model training. However, even skilled observers may diverge ...
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