Page 33: 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.

Advancing bushfire preparedness in Australia

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 ...

Liquid droplets trained to play tic-tac-toe

Artificial intelligence and high-performance computing are driving up the demand for massive sources of energy. But neuromorphic computing, which aims to mimic the structure and function of the human brain, could present ...

AI uncovers subsurface entrances on the moon

How can artificial intelligence (AI) be used to locate lunar pits and skylights, which are surface depressions and openings, respectively, that serve as entrances to lava caves and lava tubes? This is what a recent study ...

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