An AI agent reads its own source code, forms a hypothesis for improvement (such as changing a learning rate or an architecture depth), modifies the code, runs the experiment, and evaluates the results ...
Despite widespread industry recommendations, a new ETH Zurich paper concludes that AGENTS.md files may often hinder AI coding agents. The researchers recommend omitting LLM-generated context files ...
Boston's pioneering experiment with MCP is laying the groundwork for an 'agentic middleware' for local government, expanding access to public services.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results