Page 37: 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 combined with nanotech can detect oral cancer earlier

The powerful potential of nanotechnologies and AI to detect oral cancer earlier and more accurately has been revealed by a University of Otago—Ōtākou Whakaihu Waka study published in ACS Nano.

Riding the AI wave toward rapid, precise ocean simulations

AI has created a sea change in society; now, it is setting its sights on the sea itself. Researchers at Osaka Metropolitan University have developed a machine learning-powered fluid simulation model that significantly reduces ...

AI reshapes how we observe the stars

AI tools are transforming how we observe the world around us—and even the stars beyond. Recently, an international team proved that deep learning techniques and large language models can help astronomers classify stars with ...

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