Networking for AI: Building the foundation for real-time intelligence
The Ryder Cup is an almost-century-old tournament pitting Europe against the United States in an elite showcase of golf skill ...
Donnerstag, 12. März 2026
With Microsoft Agent 365, one startup furthers goal of making AI agents more intuitive
Tags: AI Customers The post With Microsoft Agent 365, one startup furthers goal of making AI agents more intuitive appeared ...
How AI tax startup Blue J torched its entire business model for ChatGPT—and became a $300 million company
In the winter of 2022, as the tech world was becoming mesmerized by the sudden, explosive arrival of OpenAI’s ChatGPT, ...
Phi-4 proves that a ‚data-first‘ SFT methodology is the new differentiator
AI engineers often chase performance by scaling up LLM parameters and data, but the trend toward smaller, more efficient, and ...
The State of AI: How war will be changed forever
Welcome back to The State of AI, a new collaboration between the Financial Times and MIT Technology Review. Every Monday, ...
In a sea of agents, AWS bets on structured adherence and spec fidelity
Despite new methods emerging, enterprises continue to turn to autonomous coding agents and code generation platforms. The competition to keep ...
From shiny object to sober reality: The vector database story, two years later
When I first wrote “Vector databases: Shiny object syndrome and the case of a missing unicorn” in March 2024, the ...
Human-centric IAM is failing: Agentic AI requires a new identity control plane
The race to deploy agentic AI is on. Across the enterprise, systems that can plan, take actions and collaborate across ...
Google’s new AI training method helps small models tackle complex reasoning
Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language ...
OpenAI experiment finds that sparse models could give AI builders the tools to debug neural networks
OpenAI researchers are experimenting with a new approach to designing neural networks, with the aim of making AI models easier ...
