Understanding complex systems requires reasoning about causal relationships that behave or appear to behave probabilistically. Features such as distributed agency, large spatial scales, and time ...
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 ...
Apply Nonlinear Support Vector Machines (NSVMs) and Fourier transforms to analyze and process visual data. Use probabilistic reasoning and implement Recurrent Neural Networks (RNNs) to model temporal ...
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 ...
The study of cognitive processes in reasoning and mental models explores the ways in which individuals represent, manipulate, and utilise internal representations to draw inferences and make decisions ...
“Sparks of artificial general intelligence,” “near-human levels of comprehension,” “top-tier reasoning capacities.” All of these phrases have been used to describe large language models, which drive ...
Babies are sophisticated mini-statisticians, a new study finds, capable of making judgments about the probability of an event they've never seen before. Using a computer model, researchers were able ...
Scientists studying kea, New Zealand’s alpine parrot, revealed that the famously mischievous birds could understand probabilities, an impressive mental feat. The pair of researchers put six birds ...
Imagine a world where your computer doesn’t just work harder but smarter, tapping into the very chaos that surrounds us. It’s not science fiction—it’s the dawn of probabilistic and thermodynamic ...
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