Automated image colorization might be the most dramatic AI enhancement feature in visual effects. It predicts the original colors that should be present based on black-and-white images, resulting in ...

Ravi Shankar Garapati’s research offers a thoughtful, technically rigorous framework for addressing these challenges through ...

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that they are actively exploring Scalable ...

An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

Founder Pritesh Kadiwala breaks down how these engineering decisions became the foundation for Wishroll's speed, scale, and ability to shape new digital experiences for Gen Z.

Abstract: Electroencephalography (EEG) is an effective assessment tool to identify autism spectrum disorders with low cost, and deep learning has been applied in EEG analysis for extracting meaningful ...

QNNs achieved 95 percent accuracy, while QSVMs reached 94 percent, both surpassing classical machine learning methods, which ...

As AI moves into real-time applications—from autonomous vehicles to instant medical diagnostics—the systems processing it can ...

Abstract: Dynamic architecture neural networks (DynNNs) are an emerging type of deep learning models that can leverage different processing difficulties of data samples to dynamically reduce ...

Recently, Agricultural Bank of China Co., Ltd. applied for a patent titled "Method, Device, Equipment, and Medium for Interface Element Localization Based on Deep Learning," marki ...