In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method that aligns memristor hardware's noisy updates with neural network training, ...
New AI model decodes brain signals captured noninvasively via EEG opens the possibility of developing future neuroprosthetics ...
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...
The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...
Jason Van Tatenhove, a journalist, author and former member of extremist group The Oath Keepers, says AI tools have made him a better writer.
Ricursive Intelligence, founded by two former Google researchers and valued at $4 billion, is among several efforts to ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
Machine learning and other modeling approaches could aid in forecasting the arrival of floating Sargassum rafts that clog ...
In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...
Google’s artificial intelligence research laboratory where AlphaFold was developed—has officially released a new machine ...
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