Elon Musk unveils “Macrohard,” a Tesla and xAI AI system designed to perform complex computer tasks and potentially replicate the functions of software companies.

Despite ethical concerns about using battlefield videos to train artificial intelligence, Ukraine’s defense ministry said it needs to improve A.I. targeting to compete with Russia.

Researchers show AI can learn a rare programming language by correcting its own errors, improving its coding success from 39% to 96%.

There's a lot more to a model than just benchmarks.

Amazon Web Services has introduced Strands Labs, a new GitHub organization created to host experimental projects related to agent-based AI development.

The Azure Kubernetes Service (AKS) team at Microsoft has shared guidance for running Anyscale's managed Ray service at scale. They focus on three key issues: GPU capacity limits, scattered ML storage, ...

But today, Nvidia sought to help solve this problem with the release of Nemotron 3 Super, a 120-billion-parameter hybrid model, with weights posted on Hugging Face. By merging disparate architectural ...

The move could position the AI infrastructure powerhouse to quickly compete with OpenAI, Anthropic, and DeepSeek.

Your conversations with AI may be part of its training dataset.

Savvy developers are realizing the advantages of writing explicit, consistent, well-documented code that agents easily understand. Boring makes agents more reliable.

UK Lords urged the government to reject weaker AI copyright rules, saying creators should not be sacrificed for speculative ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.