Make sense of what AI is becoming.

A JAIR paper evaluated seven cost functions in inductive logic programming across more than 20 domains, showing that minimizing training error or description length yields best overall performance.

A JAIR paper shows how AI can learn safety guarantees from real system runs using kernel methods and Fourier expansions.

The new study shows how control barrier certificates can be learned directly from data, giving scalable safety verification for black‑box AI systems such as autonomous vehicles and healthcare devices.

Only 3 percent of adults 55+ would let AI purchase diagnostics, compared with 20 percent among 25‑34 year olds.

SpaceX’s purchase of coding startup Cursor marks a significant step toward mainstreaming AI‑driven coding assistance within aerospace and beyond.

Researchers found transformer models struggle when images and text appear together in a standard attention test.

On July 18 2026, Anthropic disabled its two most capable AI models for all customers after a U.S. export‑control order barred foreign nationals from accessing them.

The ViTaX framework delivers formally verified, targeted explanations of neural‑net decisions in safety-critical domains.

A 2017 Brookings survey found just under one‑fifth of senior U.S. business leaders were familiar with contemporary artificial intelligence technology.

A new framework called LogiCP uses formal logic reasoning to dynamically cluster clients in federated learning, delivering scalable personalization and uncertainty quantification.

Companies deploy autonomous generative‑AI agents that collaborate across tasks—from supply chains to media creation—showing economic gains and new reliability challenges.

On April 22 2026, Google announced real‑world applications of its generative AI technology in finance, national security, health care, criminal justice, transportation and smart cities.