In 2026, here's what you can expect from the AI industry: new architectures, smaller models, world models, reliable agents, ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

This repository contains various machine learning implementations and examples ranging from classic reinforcement learning (Q-Learning) to advanced deep learning techniques (CNN, LSTM, GAN, GNN). Each ...

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...

Abstract: As an emerging machine learning task, high-dimensional hyperparameter optimization (HO) aims at enhancing traditional deep learning models by simultaneously optimizing the neural networks’ ...

Abstract: The current network environment is becoming more susceptible to the latest threats to cyber networks, and so there is a need to have an intelligent and robust threat-detection system. This ...