AIMC Topic: Biological Evolution

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The changing landscape of text mining: a review of approaches for ecology and evolution.

Proceedings. Biological sciences
In ecology and evolutionary biology, the synthesis and modelling of data from published literature are commonly used to generate insights and test theories across systems. However, the tasks of searching, screening, and extracting data from literatur...

Merging sociality and robotics through an evolutionary perspective.

Science robotics
Robotics, using social mechanisms like hormonal modulation, may accelerate our understanding of core sociality principles.

Biological computation through recurrence.

Biochemical and biophysical research communications
One of the defining features of living systems is their adaptability to changing environmental conditions. This requires organisms to extract temporal and spatial features of their environment, and use that information to compute the appropriate resp...

DeepDive: estimating global biodiversity patterns through time using deep learning.

Nature communications
Understanding how biodiversity has changed through time is a central goal of evolutionary biology. However, estimates of past biodiversity are challenged by the inherent incompleteness of the fossil record, even when state-of-the-art statistical meth...

Comparing cognition across major transitions using the hierarchy of formal automata.

Wiley interdisciplinary reviews. Cognitive science
The evolution of cognition can be understood in terms of a few major transitions-changes in the computational architecture of nervous systems that changed what cognitive capacities could be evolved by downstream lineages. We demonstrate how the idea ...

Self-replicating artificial neural networks give rise to universal evolutionary dynamics.

PLoS computational biology
In evolutionary models, mutations are exogenously introduced by the modeler, rather than endogenously introduced by the replicator itself. We present a new deep-learning based computational model, the self-replicating artificial neural network (SeRAN...

PSE-Net: Channel pruning for Convolutional Neural Networks with parallel-subnets estimator.

Neural networks : the official journal of the International Neural Network Society
Channel Pruning is one of the most widespread techniques used to compress deep neural networks while maintaining their performances. Currently, a typical pruning algorithm leverages neural architecture search to directly find networks with a configur...

Artificial neural networks reconstruct missing perikymata in worn teeth.

Anatomical record (Hoboken, N.J. : 2007)
Dental evolutionary studies in hominins are key to understanding how our ancestors and close fossil relatives grew from the early stages of embryogenesis into adults. In a sense, teeth are like an airplane's 'black box' as they record important varia...

N-Level Hierarchy-Based Optimal Control to Develop Therapeutic Strategies for Ecological Evolutionary Dynamics Systems.

IEEE transactions on neural networks and learning systems
This article mainly proposes an evolutionary algorithm and its first application to develop therapeutic strategies for ecological evolutionary dynamics systems (EEDS), obtaining the balance between tumor cells and immune cells by rationally arranging...

AI-based discovery of habitats from museum collections.

Trends in ecology & evolution
Museum collection records are a source of historic data for species occurrence, but little attention is paid to the associated descriptions of habitat at the sample locations. We propose that artificial intelligence methods have potential to use thes...