Page 12: Research news on Artificial intelligence

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.

AI quake tools forecast aftershock risk in seconds, study shows

Earthquake forecasting tools powered by AI can forecast the risk of aftershocks seconds after the initial tremor, a new study suggests. The machine learning models can forecast where, and how many, aftershocks will take place ...

AI is front and center at COP30

We live in a time often characterized as a polycrisis. One of those crises is human-caused climate change, an issue currently being discussed by delegates at the COP30 climate talks in Belém, Brazil.

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