Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
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.
True ROI for R&D won't come from the tool that generates 10,000 new ideas. It will come from the tool that confidently tells ...
Google recently published a guide outlining eight essential design patterns for multi-agent systems, ranging from sequential ...
Norm Hardy’s classic Confused Deputy problem describes a privileged component that is tricked into misusing its authority on ...