IA

How Third Moment Research runs 10,000 agents for 36+ hours

With GPT-6 Astra and GPT-6.1 Sol, Codex, and Daybreak for cybersecurity, this AI lab builds agents that focus for days and improve with use.

How Block is building AI-powered security with OpenAI technology

Block is building AI-powered security with OpenAI. Its security team investigates threats faster and proposes patches in minutes.

Google DeepMind and Singapore Government collaborate to build fine-tuned AI model for scam detection

Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.

Anthropic opens Singapore office and signs MOU with the Government of Singapore

Anthropic opens Singapore office and signs MOU with the Government of Singapore

The EU’s next chapter in AI is agentic

New analysis shows how agentic AI adoption is growing across EU enterprises and small businesses—and where deeper use could unlock more value.

Preparing for the 2026 US midterms

Preparing for the 2026 US midterms

Lessons from scaling teams of coding agents: reach the frontier at 30% of the cost

Teams of coding agents are already building large-scale software, but how should they be organized to work most effectively and efficiently?

Developing Gemini 4 Argon responsibly and safely

Run fast, private agents on-device with LFM2.5-24B-A2B

Gemini 4 Argon for Robotics

Gemini 4 Argon: Built to solve your hardest problems

Gemini 4 Argon: Built to solve your hardest problems

We’re giving developers, enterprises, scientists, and consumers access to Gemini 4 Argon, our latest frontier model.

Higgsfield takes AI video from 1 minute to over 10

Higgsfield brings creators longer videos with GPT-6 Astra, precise visuals with GPT-Image-2.5, and a path to voice filmmaking with GPT-Live.

Redesigning source control at Anthropic

As our merges per day grew more than tenfold, source control became our biggest development bottleneck. Here, we share how we migrated to an in-house version control system in five months.

Simulating student learning for better AI tutoring

StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.