AIMC Topic: Animals

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Path planning of locust-inspired jumping robots in obstacle-dense environments using curriculum reinforcement learning.

Bioinspiration & biomimetics
Biologically-inspired jumping robots have demonstrated remarkable adaptability in complex environments, making them increasingly valuable across various fields. However, effective path planning in obstacle-dense environments for large-scale jumping r...

Mobot mobot: an ocean sunfish () robot.

Bioinspiration & biomimetics
The Ocean Sunfish () has one of the most unusual body geometries and swimming strategies of all fish species. Effectively lacking a caudal fin, these fish propel themselves by synchronized flapping of their extremely long dorsal and anal fins-a form ...

Selectivity Approaches in Therapeutic Antibody Design.

Journal of medicinal chemistry
Protein therapeutics, particularly antibody-based therapies, have emerged as a cornerstone in modern disease treatment, offering key advantages over small molecules, including superior target specificity, longer half-life, and expanded target accessi...

Emergent neuronal mechanisms mediating covert attention in convolutional neural networks.

Proceedings of the National Academy of Sciences of the United States of America
Covert visual attention allows the brain to select different regions of the visual world without eye movements. Predictive cues of a target location orient covert attention and improve perceptual performance. In most computational models, researchers...

Identifying SUMOylation-related genes in liver fibrosis with bioinformatics and experimental models for diagnostic insights.

Scientific reports
Liver fibrosis (LF) is a medical disorder caused by prolonged chronic liver injury, which, if left untreated, can progress to cirrhosis or liver cancer, posing significant risks to patient health. In recent years, the increase in liver diseases, incl...

An AI-powered smart Agribot for detecting locusts in farmlands using IoT and deep learning.

Scientific reports
In many countries, locusts have significantly harmed agricultural production. To prevent their spread, the Agriculture Robot (Agribot) with cutting-edge technologies like the Internet of Things (IoT) and Machine Learning (ML) can be a possible soluti...

Clinically ready magnetic microrobots for targeted therapies.

Science (New York, N.Y.)
Systemic drug administration often causes off-target effects, limiting the efficacy of advanced therapies. Targeted drug delivery approaches increase local drug concentrations at the diseased site while minimizing systemic drug exposure. We present a...

Towards a neuroethological approach to consciousness.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Understanding consciousness remains a significant challenge in science. What distinguishes conscious beings from unconscious systems, such as organoids, artificial intelligence or other non-sentient entities? Research on consciousness often focuses o...

Comparing machine learning, deep learning, and reinforcement learning performance in Culex pipiens predictive modeling.

PloS one
Several machine learning (ML) and deep learning (DL) methods have been used to predict the presence of species in classification problems. Another set of methods, called reinforcement learning (RL), has been used in training agents to perform various...

CattleNet-XAI: An explainable CNN framework for efficient cattle weight estimation.

PloS one
Accurate estimation of cattle weight is essential for effective farm management, health assessment, and productivity optimization. Traditional manual methods for weight estimation, however, are labor-intensive, time-consuming, and prone to inaccuraci...