Abstract: Instrument-tissue interaction detection, a task aimed at understanding surgical scenes from videos, holds immense importance in constructing computer-assisted surgery systems. Existing ...
Scientists say they've made a key breakthrough that would allow robots to figure out complex tasks on their own, but experts ...
Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...
Abstract: Uncrewed aerial vehicles (UAVs) play a crucial role in various applications, including detecting environmental hazards, e.g., wildfire smoke detection. However, the limited computational ...
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Bayesian thinking is reshaping AI decision-making
From smarter hypothesis testing with e-values to AI systems that model emotions, Bayesian methods and probabilistic reasoning are transforming how machines—and humans—make decisions under uncertainty.
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