The Information Processing and Machine Learning Laboratory (IPML) supports research in theoretical algorithm development in digital signal processing, adaptive and nonlinear signal processing, machine ...
Signal processing algorithms, architectures, and systems are at the heart of modern technologies that generate, transform, and interpret information across applications as diverse as communications, ...
Define feedforward networks, recurrent neural networks, convolutional neural networks, attention, and transformers. Implement and train feedforward networks, recurrent neural networks, convolutional ...
BLOOMINGTON, Ind. -- An Indiana University neuroscientist and University of Tokyo roboticist have figured out a way to model the popularly accepted idea that it takes all types of sensory information ...
“Artificial Intelligence” as we know it today is, at best, a misnomer. AI is in no way intelligent, but it is artificial. It remains one of the hottest topics in industry and is enjoying a renewed ...
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Longitudinal study links associative learning gains to later improvements in fluid intelligence
The ability to link new pieces of information together and the capacity to solve entirely new problems reinforce each other ...
The Center for Systems & Behavioral Neuroscience at Drexel’s Department of Neurobiology and Anatomy is dedicated to investigating the molecular, cellular, network, and behavioral mechanisms of sensory ...
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