Cybercriminals and cybersecurity are a cat-and-mouse pair. Only that at different times they keep swapping their roles. This ...

A developer reverse-engineering Anthropic's Claude Code binary discovered on June 30, 2026, that the tool had been silently encoding hidden signals into its AI system prompts for at least three months ...

The bias problem in classification tasks and the different strategies used for bias mitigation. How these strategies are grouped into categories and a brief introduction of the most representative ...

This project is a binary classification problem of audio data that aims to classify human voices from audio recordings. This project uses a feed forward neural network and a convolutional neural ...

Abstract: Classification problem is a decision making task where many researchers have been working on. There are a number of techniques proposed to perform classification. Neural network is one of ...

Detection and analysis of spontaneous synaptic events is an extremely common task in many neuroscience research labs. Various algorithms and tools have been developed over the years to improve the ...

In veterinary medicine, attempts to apply artificial intelligence (AI) to ultrasonography have rarely been reported, and few studies have investigated the value of AI in ultrasonographic diagnosis.

Abstract: We propose a new learning model called granular support vector machines for data classification problems. Granular support vector machines systematically and formally combines the principles ...

The basic principles required to solve classification tasks with neural networks are used as building blocks in more complicated deep learning problems such as object detection and instance ...

Current debates over the fundamental nature of biological sex are not merely esoteric academic musings. They have direct implications for policy related to sex-based legal protections and medicine. It ...