AIMC Topic: Animals

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Fault-tolerant neural networks from biological error correction codes.

Physical review. E
It has been an open question in deep learning if fault-tolerant computation is possible: can arbitrarily reliable computation be achieved using only unreliable neurons? In the grid cells of the mammalian cortex, analog error correction codes have bee...

Integrating AI into practice.

The Veterinary record
The possible veterinary applications of chatbots such as ChatGPT are already revealing themselves, but there are pitfalls to be aware of too.

The invisible becomes visible.

The Veterinary record
The concept of artificial intelligence is not new and the technology has been running in the background of our lives for some time. But as it now comes to the fore, questions have begun to emerge alongside it.

Deep learning-based enhancement of fluorescence labeling for accurate cell lineage tracing during embryogenesis.

Bioinformatics (Oxford, England)
MOTIVATION: Automated cell lineage tracing throughout embryogenesis plays a key role in the study of regulatory control of cell fate differentiation, morphogenesis and organogenesis in the development of animals, including nematode Caenorhabditis ele...

Deep coupled registration and segmentation of multimodal whole-brain images.

Bioinformatics (Oxford, England)
MOTIVATION: Recent brain mapping efforts are producing large-scale whole-brain images using different imaging modalities. Accurate alignment and delineation of anatomical structures in these images are essential for numerous studies. These requiremen...

Sequence-Based Machine Learning Reveals 3D Genome Differences between Bonobos and Chimpanzees.

Genome biology and evolution
The 3D structure of the genome is an important mediator of gene expression. As phenotypic divergence is largely driven by gene regulatory variation, comparing genome 3D contacts across species can further understanding of the molecular basis of speci...

Artificial Intelligence for Climate Change Biology: From Data Collection to Predictions.

Integrative and comparative biology
In the era of big data, ecological research is experiencing a transformative shift, yet big-data advancements in thermal ecology and the study of animal responses to climate conditions remain limited. This review discusses how big data analytics and ...

Recent Progress in the Physical Principles of Dynamic Ground Self-Righting.

Integrative and comparative biology
Animals and robots must self-right on the ground after overturning. Biology research has described various strategies and motor patterns in many species. Robotics research has devised many strategies. However, we do not well understand the physical p...

From Behavior to Bio-Inspiration: Aerial Reorientation and Multi-Plane Stability in Kangaroo Rats, Computational Models, and Robots.

Integrative and comparative biology
Tails play essential roles in functions related to locomotor stability and maneuverability among terrestrial and arboreal animals. In kangaroo rats, bipedal hopping rodents, tails are used as effective inertial appendages for stability in hopping, bu...

Structure-preserved integration of scRNA-seq data using heterogeneous graph neural network.

Briefings in bioinformatics
The integration of single-cell RNA sequencing (scRNA-seq) data from multiple experimental batches enables more comprehensive characterizations of cell states. Given that existing methods disregard the structural information between cells and genes, w...