In artificial intelligence, 2025 marked a decisive shift. Systems once confined to research labs and prototypes began to ...

AI coding agents are highly vulnerable to zero-click attacks hidden in simple prompts on websites and repositories, a ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Today's AI agents are a primitive approximation of what agents are meant to be. True agentic AI requires serious advances in reinforcement learning and complex memory.

What if building your own AI agent was no longer a daunting task reserved for tech giants and elite developers? Imagine crafting a virtual assistant tailored to your business needs, a tutor designed ...

Microsoft is moving beyond copilots to fully autonomous agents. Foundry and MCP let agents assemble solutions using 1,400 tools. IQ services aim to give agents true context and understanding. At ...

For years, AI operated in the background. Machine learning models quietly analyzed data without much risk of exposure. Then ...

Amazon is turning its sprawling cloud, retail, and logistics empire into a test bed for a new generation of AI agents that do ...

Forbes contributors publish independent expert analyses and insights. Gil Press writes about technology, entrepreneurs and innovation. Founded recently by two monday.com alumni, CEO Michal Lupu (led ...

The year 2026 is poised to mark a turning point for AI agents in the enterprise. After several years of hype and ...

As Silicon Valley races toward a future where AI agents do most of the software programming, a new problem is created: finding the AI-generated bugs before they are put into production. Even OpenAI is ...

A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.