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, ...

Form Recognizer brings unsupervised machine learning to paper document processing, and it’s a snap to build into your applications Microsoft’s Cognitive Services, powered by machine learning, are an ...

Image courtesy by QUE.com Artificial Intelligence (AI) has become a buzzword in today’s tech-driven world, promising new ...

Artificial Intelligence (AI) has become a buzzword in today’s tech-driven world, promising new possibilities and reshaping industries. Despite its prevalence, ...

The Information Processing and Machine Learning Laboratory (IPML) supports research in theoretical algorithm development in digital signal processing, adaptive and nonlinear signal processing, machine ...

Forbes contributors publish independent expert analyses and insights. I delve into the intricate workings of artificial intelligence. When an individual files a medical insurance claim, they expect ...

Machine learning is based on the idea that a system can learn to perform a task without being explicitly programmed. Machine learning has a wide range of applications in the finance, healthcare, ...

What are spiking neural networks (SNNs)? Why the Akida Pico neural processing unit (NPU) can use so little power to handle machine-learning models. Why neuromorphic computing is important to ...

TAMPA, Fla., Feb. 16, 2022 /PRNewswire/ -- Tampa-based, Lumina Analytics announced today that it has developed a new form of machine learning called Random Contrast Learning or RCL. In early testing, ...