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.
When engineers and planners design roads, bridges and dams, they rely on hydrological models intended to protect infrastructure and communities from 50- and 100-year floods. But as climate change increases the frequency and ...
Earth Sciences
Jan 8, 2026
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In a study conducted at the University of Helsinki, AI was trained to classify bird sounds with increasing accuracy. The results of the study have been used, among others, in the "Muuttolintujen kevät" (Spring of Migratory ...
Ecology
Jan 7, 2026
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Artificial intelligence is changing how we predict river flow—but a new study led by researchers at the University of British Columbia shows that these models often get the right answers for the wrong reasons.
Ecology
Jan 6, 2026
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Detecting cancer in the earliest stages could dramatically reduce cancer deaths because cancers are usually easier to treat when caught early. To help achieve that goal, MIT and Microsoft researchers are using artificial ...
Bio & Medicine
Jan 6, 2026
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A team of researchers at Penn State have devised a new, streamlined approach to designing metasurfaces, a class of engineered materials that can manipulate light and other forms of electromagnetic radiation with just their ...
Nanophysics
Jan 5, 2026
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Tohoku University and Fujitsu Limited have successfully used AI to derive new insights into the superconductivity mechanism of a new superconducting material.
Condensed Matter
Dec 23, 2025
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AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding. However, there have been limitations for the world of scientific discovery involving more curiosity-driven ...
Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, methicillin-resistant Staphylococcus aureus (MRSA) accounted for more than 100,000 global deaths attributable to ...
Cell & Microbiology
Dec 18, 2025
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A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an interpretable artificial intelligence (AI) framework named Convolutional Kolmogorov–Arnold Network (CKAN), ...
Astronomy
Dec 18, 2025
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Researchers from Marshall University and the University of Missouri have developed G2PDeep, an innovative web-based platform that uses advanced AI to analyze multiple types of biological data and more accurately predict complex ...
Biotechnology
Dec 18, 2025
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