Researchers in Turkey have developed BCECNN, an AI model that detects breast cancer with 98.75% accuracy and explains its ...

A new framework integrates graph databases with real-time machine learning to enhance fraud detection and risk control in digital finance. By ...

And he took the decision to stay even though his experience with a previous fitness offerings and healthy food venture called CrankOut had shown him that success takes more than just hard work or a ...

This FAQ explores the fundamental architecture of neural networks, the two-phase learning process that optimizes millions of ...

Simple quantum-classical neural networks achieve good results in classifying lesions with fewer computational parameters.

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 ...

Deep learning-based image steganalysis has progressed in recent times, with efforts more concerted toward prioritizing detection accuracy over lightweight frameworks. In the context of AI-driven ...

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

The morning-after pill helps prevent pregnancy after unprotected sex, but its efficacy differs depending on the user's body mass and the timing of when they take the medication. When you purchase ...

Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies. After testing the new approach in combination with the 1D-CNN ...