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 ...

Avinash Reddy Aitha’s study on Cloud-Native Generative AI for Personalized Insurance Premium Modeling captures the essence of ...

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 ...

Abstract: Neural architecture search (NAS) has emerged as a promising technique for automating neural network design. However, many existing NAS methods rely on manually constructed architecture ...

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

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 ...

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 ...

The integration of biological principles into artificial visual systems is advancing machine vision, enabling superior ...

Abstract: This paper presents an efficient reconfigurable parameterized convolutional neural network (CNN) accelerator designed for FPGA platforms. The core of the accelerator allows flexible ...

This is a general purpose aimbot, which uses a neural network for enemy/target detection. The aimbot doesn't read/write memory from/to the target process. It is essentially a "pixel bot", designed ...