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 ...

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 ...

The final, formatted version of the article will be published soon. ABSTRACT Purpose: Age-related gait impairments are strongly associated with increased fall risk, disability, and mortality. While ...

COLORADO SPRINGS–As RTX'S Pratt & Whitney ramps up production of geared turbofan (GTF) engines, GKN Aerospace is adding build capacity for an additively manufactured component of the PW1500G/PW1900G ...

Gait recognition aims to identify pedestrians based on their unique walking patterns and has gained significant attention due to its wide range of applications. Mamba, a State Space Model, has shown ...

Abstract: In the field of time series prediction, runoff prediction is a critical subfield. Accurate runoff forecasting is essential for optimizing water resource allocation and mitigating flood risks ...

From a neuroscience perspective, artificial neural networks are regarded as abstract models of biological neurons, yet they rely on biologically implausible backpropagation for training. Energy-based ...

Researchers unveil OneFlip, a Rowhammer-based attack that flips a single bit in neural network weights to stealthily backdoor AI systems without degrading performance. Autonomous vehicles and many ...

Local influencers' videos aim to bring recognition to the Peoria food scene Trump's Reaction to Melissa Hortman Flag Question Sparks Anger ‘The Love Boat’ cast sets sail again with reunion: The stars ...