In a recent study published in JAMA Network Open, a group of researchers evaluated the proficiency of Generative Pre-trained Transformer 4 (GPT-4) artificial intelligence (AI) in probabilistic ...

Software engineer Sai Bhargav Yalamanchi notes that mathematical tools helping practitioners interpret uncertainty have become increasingly relevant.

For humans and machines, intelligence requires making sense of the world — inferring simple explanations for the mishmosh of information coming in through our senses, discovering regularities and ...

Studia Logica: An International Journal for Symbolic Logic, Vol. 102, No. 4, Logic and Probability: Reasoning in Uncertain Environments (August 2014), pp. 867-890 (24 pages) Systems of ...

Large language models may not always exhibit poor performance in clinical reasoning and, in specific restricted scenarios, could surpass the capabilities of clinicians, according to a Dec. 11 study ...

Physician-investigators compared a chatbot's probabilistic reasoning to that of human clinicians. The findings suggest that artificial intelligence could serve as useful clinical decision support ...

Reasoning, decision making, and assurance advances artificial intelligence to enable autonomous systems to make reliable, safe decisions in complex, uncertain environments. This area combines AI with ...

Humans live in a world of uncertainty. A shadowy figure on the sidewalk ahead could be a friend or a mugger. By flooring your car’s accelerator, you might beat the train to the intersection, or maybe ...

Uncertainty is an intrinsic part of neural computation, whether for sensory processing, motor control or cognitive reasoning. For instance, it is impossible to determine with certainty the age of a ...