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machine intelligence
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The study, recently published in Nature Machine Intelligence, marks a significant step forward in unleashing the full extent of quantum computing.
The work has now been published in Nature Machine Intelligence and was financially supported by the Austrian Science Fund FWF and the European Union, among others.
"We used an AI model to try to shed light on perception of scenes by people -- this understanding could help in the development of more efficient memory systems for AI in the future," said Lafferty, who is also the director of the Center for Neurocomputation and Machine Intelligence at the Wu Tsai Institute at Yale.
Kushanav Bhuyan, from the University of Padova and Machine Intelligence and Slope Stability Laboratory, was also a lead co-author.
In a paper published April 5 in the journal Nature Machine Intelligence, the authors detail a language model that used its powers of semantic representation to design a more effective mRNA vaccine such as those used to protect against COVID-19.
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