Page 25: 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.

Autonomous AI systems can help tackle global food insecurity

There is a growing and urgent need to address global food insecurity. This urgency is underscored by reports from the Food and Agriculture Organization of the United Nations, which states that nearly 828 million people suffer ...

Research advances precision dairy care with AI-powered tools

As the dairy industry increasingly adopts automation with the use of sensors and robotics, researchers at Texas A&M AgriLife are helping producers harness this evolving technology to help optimize production and improve the ...

Machine learning helps ease the jitters of high-power lasers

Researchers at the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) have made a breakthrough in laser technology by using machine learning (ML) to help stabilize a high-power laser.

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