University of Illinois professor Klara Nahrstedt received $275,000 from the National Science Foundation to develop streaming ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

AI became powerful because of interacting mechanisms: neural networks, backpropagation and reinforcement learning, attention, ...

A team at the University of California, San Diego has redesigned how RRAM operates in an effort to accelerate the execution ...

(Corrects law firm name in final paragraph to Marks & Clerk, not Clerks) LONDON, Feb 11 (Reuters) - An artificial neural ...

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...

The hunt is on for anything that can surmount AI’s perennial memory wall–even quick models are bogged down by the time and energy needed to carry data between processor and memory. Resistive RAM (RRAM ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

Robot perception and cognition often rely on the integration of information from multiple sensory modalities, such as vision, ...

STMicroelectronics (NYSE: STM), a global semiconductor leader serving customers across the spectrum of electronics ...