Artificial intelligence, as a technique, refers to computational methods that enable machines to perform tasks that typically require human cognitive capabilities, such as perception, reasoning, learning, and decision-making. Core AI techniques include search and optimization algorithms, symbolic reasoning and knowledge representation, probabilistic inference, and machine learning approaches such as supervised, unsupervised, and reinforcement learning. These techniques often rely on statistical modeling, function approximation, and gradient-based optimization to construct models that generalize from data. AI techniques are implemented in software frameworks, integrated into pipelines for training, validation, and deployment, and are evaluated using task-specific performance metrics and robustness assessments.
A study in the Journal of Cosmology and Astroparticle Physics explores how a machine-learning strategy known as transfer learning could dramatically reduce the computational cost of searching for new physics beyond the standard ...
General Physics
Jun 10, 2026
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Artificial intelligence (AI) is fundamentally reshaping the contours of life as we know it. In agriculture, the world market for AI is expected to reach almost US$47 billion by 2034. AI enables higher farm yields with fewer ...
Biotechnology
Jun 9, 2026
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Recent years have witnessed great advances in applying deep learning to improve fluorescence microscopy imaging. However, enhancing the fidelity of image restoration networks and improving their robustness under fluorescence ...
Cell & Microbiology
Jun 9, 2026
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Conservationists analyze overwhelming volumes of ecological data in their work. For example, they might need to process decades of weather data or the movements of millions of insects. Up until now, these scientists and decision ...
Ecology
Jun 9, 2026
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A team led by Raju Tomer, professor of biological sciences at Columbia University, has created a new design for microscopes and microscope lenses that could push 3D tissue imaging beyond state-of-the-art systems while drastically ...
Cell & Microbiology
Jun 9, 2026
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56
When we think of wildlife trafficking, we might think of rhino horns or baby orangutans sold as pets—but the smuggling of sea creatures, a less well-known crime, is just as damaging to marine ecosystems. Unfortunately, many ...
Ecology
Jun 7, 2026
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For millions of people, chatbots powered by large language models (LLMs) are now a key feature of everyday life. These AI systems are growing at a rapid pace, but scaling them up is becoming increasingly costly and resource-intensive.
Wildlife research projects worldwide could benefit from a new AI system which can automatically find, name, and follow individual animals in footage.
Ecology
Jun 5, 2026
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Globally, agriculture faces mounting pressures. These are driven by climate change, land degradation, labor shortages, supply chain disruptions and the demand for food from a growing population.
Biotechnology
Jun 3, 2026
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16
The environmental footprint of data centers already rivals some of the world's largest countries, according to a United Nations University report, which also predicts their water and energy use and pollution will double in ...
Environment
Jun 3, 2026
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