AIMC Topic: Ecology

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Bio-inspired robotics in times of ecological crisis: an attempt at self-criticism.

Bioinspiration & biomimetics
This article attempts to show that current trends in bio-inspired robotics research are incompatible with the transformations needed to address the current ecological crisis. A large part of the scientific community takes refuge behind short-term cha...

Classification of Mycena and Species Using Deep Learning Models: An Ecological and Taxonomic Approach.

Sensors (Basel, Switzerland)
Fungi play a critical role in ecosystems, contributing to biodiversity and providing economic and biotechnological value. In this study, we developed a novel deep learning-based framework for the classification of seven macrofungi species from the ge...

New solutions for antibiotic discovery: Prioritizing microbial biosynthetic space using ecology and machine learning.

PLoS biology
With the explosive increase in genome sequence data, perhaps the major challenge in natural-product-based drug discovery is the identification of gene clusters most likely to specify new chemistry and bioactivities. We discuss the challenges and stat...

Generative AI as a tool to accelerate the field of ecology.

Nature ecology & evolution
The emergence of generative artificial intelligence (AI) models specializing in the generation of new data with the statistical patterns and properties of the data upon which the models were trained has profoundly influenced a range of academic disci...

Robots and animals teaming up in the wild to tackle ecosystem challenges.

Science robotics
Interactively teaming up animals and robots could facilitate basic scientific research and address environmental and ecological crises.

Do China's ecological civilization advance demonstration zones inhibit fisheries' carbon emission intensity? A quasi-natural experiment using double machine learning and spatial difference-in-differences.

Journal of environmental management
China's National Ecological Civilization Demonstration Zone (NECDZ) policy has a significant role in ensuring national ecological security, and it is essential to investigate how the NECDZ policy affects the carbon emissions intensity of fisheries (C...

Does artificial intelligence affect the ecological footprint? -Evidence from 30 provinces in China.

Journal of environmental management
Artificial intelligence (AI) technology serves as a powerful tool to optimize energy efficiency and lessen ecological footprints. Using data from 30 provinces in China over the period from 2018 to 2022, this study investigates how regional AI develop...

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...

Research on the evaluation and impact trends of China's skill talent ecosystem in the digital era - An analysis based on neural network models and PVAR models.

PloS one
This study develops a "Skill Talent Ecological Evaluation Model" across cultivation, potential energy, kinetic energy, innovation, and service and support ecologies. AHP-entropy determines indicator weights, Hopfield neural network assesses talent ec...

Deep learning in water protection of resources, environment, and ecology: achievement and challenges.

Environmental science and pollution research international
The breathtaking economic development put a heavy toll on ecology, especially on water pollution. Efficient water resource management has a long-term influence on the sustainable development of the economy and society. Economic development and ecolog...