Foundation models are AI systems trained on vast amounts of data — often trillions of individual data points — and they are capable of learning new ways of modeling information and performing a range ...
The use of computational methods and tools to deepen our understanding of long-standing questions in the social sciences has been rapidly growing in recent years. This Collection includes manuscripts ...
University of Nevada professor Michael Wilson explains three computational linguistics fields and the applications of those ...
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A smarter way for large language models to think about hard problems
To make large language models (LLMs) more accurate when answering harder questions, researchers can let the model spend more ...
New studies support the idea that the brain uses a process similar to a machine-learning approach known as 'self-supervised learning.' This type of machine learning allows computational models to ...
Computational models and simulations have had an important role in engineering analysis since as far back as the 1960s. It is widely recognized that the use of modeling and simulation tools can make ...
Recent advances in neuroscience, cognitive science, and artificial intelligence are converging on the need for representations that are at once distributed, ...
As robots and AI systems increasingly enter shared workspaces, domestic environments, and assistive contexts, understanding and predicting human behavior ...
The human brain is a complex and unfathomable supercomputer. How it works is one of the ultimate mysteries of our time. Scientists working in the exciting field of computational neuroscience seek to ...
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