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

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

With this bat-inspired technology, the potential to locate more survivors the next time an earthquake or wildfire strikes ...

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 ...

Abstract: Leveraging multimodal brain signals, such as electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS), for the objective detection of brain activity is regarded as a ...

Learn how Network in Network (NiN) architectures work and how to implement them using PyTorch. This tutorial covers the concept, benefits, and step-by-step coding examples to help you build better ...