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University of Pennsylvania, engineers have created a chip that allows algorithms to function not with circuits and silicon, ...
Researchers pioneered the integration of CNN-LSTM with bond stress-slip constitutive modeling and proposed a deep ...
In a recent advance, a multi-disciplinary team of researchers developed a machine learning framework that adapts to changes ...
The advent of AI as a widely available business tool has given rise to numerous applications that are proliferating at a ...
A new communication-collective system, OptiReduce, speeds up AI and machine ... network periods and lengthen during busy periods. While some information is lost in the process, OptiReduce leverages ...
Breakthrough light-powered chip speeds up AI training and reduces energy consumption. Engineers at Penn have developed the ...
AI is embedded in frontline diagnostics and decision-making systems. Machine learning models, trained on clinical datasets, ...
Abstract In the age of information, where the line between reality and fiction is increasingly blurred, deepfake technology ...
After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, researchers organized them into a 'periodic table of machine learning' that can help scientists ...