Make sense of what AI is becoming.

The new JAIR paper provides practical steps to generate synthetic data that preserves privacy while maintaining utility for AI training.

Brookings reports only about one percent of U.S. workers possess the skills needed for emerging AI roles, highlighting urgent workforce development needs.

Elon Musk’s aerospace firm will buy AI coding startup Cursor for about $60 billion, positioning it against Anthropic and OpenAI.

A July 2026 study presents an efficient approximation for maximizing influence spread using partial discounts rather than free products, extending classic influence‑maximization models and showing strong performance on real‑world networks.

Researchers developed an input‑skip latent binary Bayesian neural network that reduces model size by >99 % yet preserves high predictive performance on MNIST.

A study found every major chatbot leans politically when tested for bias.

Brookings Institute proposes nine steps to guide responsible AI development.

An input‑skip latent binary BNN reduces parameter count by more than 99 % while maintaining high accuracy on MNIST.

Researchers show an input‑skip Bayesian neural network that reduces parameters by over 99 % while keeping 97 % accuracy on MNIST.

The U.S. Commerce Department removed restrictions on exporting Anthropic’s advanced AI models after earlier security concerns were addressed.

A United Nations independent panel cautions against unchecked artificial intelligence risks as the European Union implements its AI Act.

The United Nations warns that while artificial intelligence can accelerate progress, it also poses significant risks if not governed effectively.