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, ...

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 ...

Define feedforward networks, recurrent neural networks, convolutional neural networks, attention, and transformers. Implement and train feedforward networks, recurrent neural networks, convolutional ...

“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 ...

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 ...

Microsoft shipped ML.NET 3.0, enhancing deep learning and data processing scenarios in the company's machine language framework that lets devs create AI-infused apps completely within the .NET ...

The ability to link new pieces of information together and the capacity to solve entirely new problems reinforce each other ...