Page 5: 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.

Video: Can robots help save farming?

When labor shortages, rising costs, and climate change collide can technology step in to save the world's oldest industry?

AI to track icebergs adrift at sea in boon for science

British scientists said Thursday that a world-first AI tool to catalog and track icebergs as they break apart into smaller chunks could fill a "major blind spot" in predicting climate change.

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