Autonomous AI post-training reached frontier scale for the first time: NVIDIA researchers published a paper showing an AI ...

Explore 10 beginner-friendly PyTorch projects for 2026, featuring full source code. Master deep learning by building image classifiers, GANs, and NLP models designed to bridge the gap between theory ...

Andrej Karpathy is pioneering autonomous loop” AI systems—especially coding agents and self-improving research agents—while advancing AI-native education through Eureka Labs and ultra-minimal ...

In this tutorial repo we'll be walking through different gradient descent optimization algorithms by describing how they work and then implementing them in PyTorch (using version 1.10). This tutorial ...

Editor's take: Nvidia became the world's most overvalued company as Big Tech players scrambled to buy every GPU and AI accelerator they could get. Many of these corporations are now turning their ...

Artificial intelligence is increasingly used to support decision-making in fields such as healthcare, cybersecurity, finance, and public services. However, many existing AI systems remain difficult to ...

AI vs robotics highlights the essential difference between intelligence and physical automation. Artificial intelligence interprets data, predicts patterns, and performs cognitive tasks such as image ...

This paper envisions 6G as a self-evolving telecom ecosystem, where AI-native capabilities enables dynamic adaptation, autonomy, and resilience beyond traditional connectivity. We present a conceptual ...

When Microsoft launched its Copilot+ PC range almost a year ago, it announced that it would deliver the Copilot Runtime, a set of tools to help developers take advantage of the devices’ built-in AI ...

Aligning large language models (LLMs) with human values and preferences is challenging. Traditional methods, such as Reinforcement Learning from Human Feedback (RLHF), have paved the way by ...