GitHub

NeuralBot - Neural Network Aimbot

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 ...
Hackaday

Pong Cloned By Neural Network

Although not the first video game ever produced, Pong was the first to achieve commercial success and has had a tremendous influence on our culture as a whole. In Pong’s time, its popularity ushered ...
Janesville Gazette

4 Janesville elementary schools named Wisconsin Schools of Recognition

JANESVILLE — The Janesville School Board on Tuesday will recognize four elementary schools for being named Wisconsin Schools of Recognition. Adams, Jackson, Jefferson and Washington elementary schools ...
C&EN

Ferroelectric/Antiferroelectric HfZrO x Artificial Synapses/Neurons for Convolutional Neural Network–Spiking Neural Network Neuromorphic Computing

College of Integrated Circuits and Micro-Nano Electronics, School of Microelectronics, State Key Laboratory of Integrated Chip and System, Fudan University, Shanghai 200433, China ...
Frontiers

Fast and intelligent detection of concrete cracks based on sound signals and convolutional neural network

Introduction: The traditional crack detection method usually requires a tedious process of sensor installation and removal, which seriously affects the efficiency of ...
GitHub

Neural network handwritten digit recognition on a Game Boy

A neural network? In my Game Boy? It's more likely than you think. This is a demonstration of neural network (NN) inference on a Game Boy. First, a small NN is trained on a modified version of the ...
IEEE

A Domain Adaptive Convolutional Neural Network for sEMG-Based Gait Phase Recognition Against to Speed Changes

Abstract: Gait phase recognition based on surface electromyography (sEMG) signals provides a human–robot interface (HRI) for rehabilitation robots. However, a high-performance deep learning model ...
Too Old to Operate

Automated freezing of gait assessment with marker-based motion capture and multi-stage spatial-temporal graph convolutional neural networks.

Freezing of gait (FOG) is a common and debilitating gait impairment in Parkinson’s disease. Further insight into this phenomenon is hampered by the difficulty to objectively assess FOG. To meet this ...
Frontiers

A 3D Fully Convolutional Neural Network With Top-Down Attention-Guided Refinement for Accurate and Robust Automatic Segmentation of Amygdala and Its Subnuclei

Recent advances in deep learning have improved the segmentation accuracy of subcortical brain structures, which would be useful in neuroimaging studies of many neurological disorders. However, most ...
IEEE

Gait-Based Age Estimation with Deep Convolutional Neural Network

Abstract: Gait is a unique biometric identifier for its non-invasive and low-cooperative features. Gait-based attribute recognition can play a crucial role in a wide range of applications, such as ...