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 wildfire forecasting system powered by artificial intelligence (AI) could help detect dangerous fire conditions earlier and reduce the cost of wildfire response, according to new research from Te Whare Wānanga o Waitaha, ...
Earth Sciences
Mar 25, 2026
0
16
Jun Zhang and colleagues have published a new article in Urban Geography arguing that urban AI should not be understood as a single, inevitable next stage of the smart city. Instead, it shows that AI urbanism is a contested ...
Environment
Mar 25, 2026
0
9
Researchers have used artificial intelligence to develop a new tool for assessing earthquake damage, a leap that could ultimately help first responders in making critical rescue decisions, suggests a new study. The team's ...
Earth Sciences
Mar 25, 2026
0
9
In conventional pathology and physiology research, two-dimensional (2D) analysis—observing thinly sliced tissue sections—has been mainstream, making it difficult to comprehensively understand the distribution of cells across ...
Cell & Microbiology
Mar 23, 2026
0
6
New research reveals that "foundation models" trained on vast, general time-series data may be able to forecast river flows accurately, even in regions with little or no local hydrological records. The approach could improve ...
Earth Sciences
Mar 20, 2026
0
15
New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings of the IEEE International ...
Earth Sciences
Mar 17, 2026
0
16
Artificial intelligence is rapidly transforming weather prediction, enabling forecasts that once required hours of supercomputing time to run in just minutes. But as AI tools play an expanding role in high-stakes hazard modeling, ...
Earth Sciences
Mar 11, 2026
0
23
With wildfires growing more destructive both in the United States and around the world, University at Buffalo researchers have conducted one of the most extensive evaluations to date of artificial intelligence-based deep ...
Environment
Mar 11, 2026
0
16
Computer scientists and weather scientists have taken the first steps toward creating an AI agent capable of analyzing and answering questions in natural language, such as English, about data from AI-driven weather and climate ...
Environment
Mar 10, 2026
0
29
AI has designed candidate drugs for antibiotic-resistant infections and genetic diseases. But efforts to incorporate AI into the design of lipid nanoparticles (LNPs), the revolutionary delivery vehicles behind mRNA therapies ...
Bio & Medicine
Mar 9, 2026
0
54
