Artificial Intelligence (AI)
A clear, beginner-friendly definition of artificial intelligence (AI), its history from Turing and Dartmouth to modern LLMs, key subfields, and how AI powers the agentic economy.
A clear, beginner-friendly definition of artificial intelligence (AI), its history from Turing and Dartmouth to modern LLMs, key subfields, and how AI powers the agentic economy.
At the World Artificial Intelligence Conference in Shanghai this July, China signaled a shift in its approach to the next phase of the AI revolution. While much of the global discourse remains fixated on the risks of large language models, Beijing has moved to define the architecture of the agentic era. The release of the…
A cryptographic method where one party (the prover) demonstrates to another party (the verifier) that a statement is true without revealing any information beyond the validity of the statement itself. The verifier learns nothing about why the statement is true—only that it is.
On July 17, 2026, France’s Autorité de la concurrence issued Opinion 26-A-05, marking a significant shift in the European regulatory landscape. By formally declaring AI agents a competition priority, the Autorité has become the first major European antitrust authority to address the specific market dynamics of autonomous agents. This inquiry, initiated via autosaisine on October…
How APIs enable digital business An API (Application Programming Interface) is a standardized contract that lets one piece of software request a service from another—without needing to know how that service works internally. When you tap “Pay” in a ride-sharing app, the app calls a payment API. When a logistics company checks a shipping rate,…
What is AI agent autonomy? Autonomy in AI agents describes the degree to which an agent can independently perceive its environment, reason about goals, select actions, execute them, and evaluate outcomes without human input at each step [1]. This is different from automation. A traditional automated system follows a fixed script—every action is pre-programmed. An…
What Is LangGraph? LangGraph is a library for building agent applications that need more than a single prompt-response cycle. Released by LangChain in January 2024 [2], it models agent workflows as directed graphs: nodes represent computation steps (calling an LLM, running a tool, making a decision), and edges define the flow between them—including conditional branches…
What is Swarm Intelligence? Swarm Intelligence (often referred to as swarm AI, collective intelligence, or swarm optimization) describes a field of artificial intelligence where complex, intelligent behavior emerges from a group of simple agents. Swarm intelligence is a specific design philosophy within the broader field of multi-agent systems (MAS). While some multi-agent systems rely on…
The systematic practice of designing, managing, and optimizing all the information an AI model or agent receives during inference — including system prompts, tool definitions, retrieved data, conversation history, memory state, and structured outputs — to maximize performance within a finite context window.
Agent memory is the set of mechanisms that allow AI agents to retain, organize, and retrieve information across sessions. Learn how episodic, semantic, and procedural memory work in AI agents.