EurekAlert!

High-accuracy tumor detection with label-free microscopy and neural networks

University of Arizona researchers have demonstrated that multiphoton microscopy (MPM), combined with machine learning and deep learning techniques, can accurately distinguish pancreatic neuroendocrine ...
IEEE

A Logic Circuit-Based Intrusion Detection System Using a Dendritic Neural Model Ensemble

Abstract: An intrusion detection system (IDS) plays a crucial role in network security by distinguishing hostile activities from network traffic. Conventional hardware-based IDS architectures have ...
IEEE

SOE-YOLO: A Small-Object Enhancement Detection Network

Abstract: With the development of deep convolutional neural networks, significant progress has been made in object detection over the past few years. Current detection algorithms demonstrate high ...
AlphaGalileo

AI model brings affordable 3D vision to automated fruit harvesting

A research team has developed a novel artificial intelligence (AI) system that enables low-cost agricultural robots to “see” in three dimensions ...
C&EN

Mode Visualization and Control of Complex Lasers Using Neural Networks

Blackett Laboratory, Department of Physics, Imperial College London, London SW7 2BW, U.K. Blackett Laboratory, Department of Physics, Imperial College London, London ...
C&EN

GSH and Halides Directed Controllable Synthesis of Chiral Gold Nanostars for Sensitive Diagnosis of Nephritis Types Using SERS and Transformer Neural Network

Institute of Digitized Medicine and Intelligent Technology, Wenzhou Medical University, Wenzhou 325000, P. R. China ...
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 ...