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 new artificial intelligence tool developed by researchers at the University of Hawai'i (UH) at Mānoa is making it easier for scientists to explore complex geoscience data—from tracking sea levels on Earth to analyzing atmospheric ...
Planetary Sciences
Aug 12, 2025
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Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate predictions by analyzing large ...
A new method, which uses synthetic datasets and transfer learning to overcome data scarcity and variability, significantly outperforms conventional techniques in multi-year field trials.
Biotechnology
Aug 8, 2025
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45
By leveraging a vision foundation model called Depth Anything V2, the method can accurately segment crops across diverse environments—field, lab, and aerial—reducing both time and cost in agricultural data preparation.
Biotechnology
Aug 8, 2025
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By integrating large-kernel convolutional blocks and a novel loss function, LKNet effectively addresses challenges such as overlapping targets, annotation bias, and variability in panicle structure across growth stages. Tested ...
Biotechnology
Aug 8, 2025
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Artificial intelligence is giving some climate research projects a much-needed boost at a time of worsening extreme weather and funding cuts that threaten science in the U.S. and elsewhere.
Ecology
Aug 6, 2025
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58
A research team led by Professor Takuya Yamamoto and Assistant Professor Ryusaku Matsumoto (Department of Life Science Frontiers) has developed a machine learning model that enables early prediction of hypothalamus–pituitary ...
Cell & Microbiology
Aug 5, 2025
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32
Whenever we mull over what film to watch on Netflix, or deliberate between different products on an e-commerce platform, the gears of recommendation algorithms spin under the hood. These systems sort through sprawling datasets ...
Quantum Physics
Aug 4, 2025
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Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then, that researchers wanted ...
Quantum Physics
Aug 4, 2025
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67
Artificial intelligence (AI) can help transform how we understand and respond to the escalating threat of bushfires. We start this journey with the first imagery now available from the proto satellite launched by Muon Space ...
Environment
Jul 31, 2025
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