Machine learning
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MIL-BERT: Classification of Arbitrarily Large Text with Performance and Explanatory Guarantees
Abstract Objective/Background Most artificial intelligence systems can analyze only a limited amount of text at once. Shortening a document can remove important evidence, while processing the entire document may require substantial computing resources and offer little insight into how a prediction was made. We introduce MIL-BERT, a method for efficiently classifying long documents and large…
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SRI research aims to make generative AI more trustworthy
Researchers have developed a new framework that reduces generative AI hallucinations by up to 32%.
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Artificial intelligence system continuously learns
SRI is developing a next-generation artificial intelligence system that applies continuous learning to become better at performing tasks.
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Seeing the things that matter most
Using machine learning to enable computer image sensors to sense, learn and adapt to capture actionable information.
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SRI Ventures’ Latent AI named to the 2021 CB Insights AI 100 List of Most Innovative Artificial Intelligence Startups
Latent AI honored for their simplified and accessible Adaptive AI development platform
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Xiao Lin talks about artificial intelligence and brain-to-brain data transfer
Xiao Lin joins host Reenita Hora to discuss improving artificial intelligence. Learn more at: https://www.sri.com/computer-vision Xiao Lin is a Computer Scientist in the Vision and Learning org at SRI International in Princeton, NJ. In this episode of The Dish TV they discuss steps SRI is taking towards achieving human-level reasoning with machine learning, linear and…