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.

Grasshopper-inspired AI boosts emergency resource prediction

A hybrid artificial intelligence (AI) system modeled on grasshopper behavior could help allocate medical resources, transport and power during an urban emergency, according to research in the International Journal of Environmental ...

Sorting potatoes with AI

Karevo's AI-powered optical recognition system can sort up to 10 tons of potatoes per hour with 95% accuracy. The founder's journey took him from a potato farm to the Technical University of Munich (TUM) and ultimately to ...

The telescope that points itself

I'll admit to using AI for things it was probably never designed for. When my van threw a fault I couldn't immediately figure out—one that seems notorious for trips back and forth to a repair shop—I ended up in a long (but ...

AI opens new era in cognitive studies of wild primates

Scientists created an AI system that uses facial recognition and real-time touchscreen testing to automate cognitive studies of capuchin monkeys in the wild. The American Journal of Primatology published a proof-of-concept ...

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