Page 15: 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 enables a who's who of brown bears in Alaska

A team of scientists from EPFL and Alaska Pacific University has developed an AI program that can recognize individual bears in the wild, despite the substantial changes that occur in their appearance over the summer season. ...

Empowering an AI foundation model to accelerate plant research

Scientists at the Department of Energy's Oak Ridge National Laboratory have created a new method that more than doubles computer processing speeds while using 75% less memory to analyze plant imaging data. The advance removes ...

Google unveils AI tool probing mysteries of human genome

Google unveiled an artificial intelligence tool Wednesday that its scientists said would help unravel the mysteries of the human genome—and could one day lead to new treatments for diseases.

Artificial intelligence in manufacturing rocket parts

Artificial Intelligence, or AI, promises many benefits in all domains, and rocketry is no different. The European Space Agency's Future Launchers Preparatory Program (FLPP) is investigating the use of AI to develop better ...

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