A new technical paper titled “Massively parallel and universal approximation of nonlinear functions using diffractive processors” was published by researchers at UCLA. “Nonlinear computation is ...
Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials. Reported in ...
Abstract: This paper studies the distributed optimization problem of high-order multi-agent systems with unknown nonlinear terms and input saturation. Unlike existing results, nonlinear functions in ...
1 The Affiliated Guangzhou Hospital of TCM of Guangzhou University of Chinese Medicine, Guangzhou, China 2 Sleep Research Institute of Traditional Chinese Medicine, Guangzhou Medical University, ...
Activation functions play a critical role in AI inference, helping to ferret out nonlinear behaviors in AI models. This makes them an integral part of any neural network, but nonlinear functions can ...
Forbes contributors publish independent expert analyses and insights. Kevin Kruse covers leadership development & emotional intelligence. For decades, leadership operated under the illusion that the ...
A standard digital camera used in a car for stuff like emergency braking has a perceptual latency of a hair above 20 milliseconds. That’s just the time needed for a camera to transform the photons ...
1 School of Computer, Jiangxi University of Chinese Medicine, Nanchang, China 2 National Pharmaceutical Engineering Center for Preparation of Chinese Herbal Medicine, Jiangxi University of Chinese ...
Most embedded engineers writing firmware have used some sort of digital filters to clean up data coming from various inputs such as ADCs, sensors with digital outputs, other processors, etc. Many ...
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