“They say, ‘We're going to throw out everything in my memory that's very old. For instance, they’ll cut off everything beyond ...
Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
More recently, deep learning and evolutionary algorithms have enabled long-term ecological forecasting, carbon emission ...
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 ...
A Multiscale Convolution SAR Image Target Recognition Method Based on Complex-Valued Neural Networks
Abstract: Recent advances in deep learning have driven significant success in synthetic aperture radar (SAR) automatic target recognition, particularly through convolutional neural network (CNN) based ...
(1) Integration with Artificial Intelligence and Machine Learning ...
National Intellectual Property Administration Announces Important Patent Application ...
An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...
Abstract: Neural networks have been widely adopted for state of charge (SOC) estimation due to their high-efficiency non-linear mapping, adaptive and self-learning abilities. However, their ...
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 ...
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