This new framework is designed to provide brands with a 'brand-friendly' anchor in an ecosystem increasingly dominated by autonomous shoppers.

The large language model automates literature search, synthesis, and structural analysis to speed up materials discovery and ...

Atlas, an artificial intelligence-native video game content creation platform, announced today that it has launched a multi-agent system within its AI Studio for game asset production. Atlas AI Studio ...

For instance, using a business domain ontology like FIBO (financial industry business ontology) can help keep agents within guardrails and avoid unwanted behavior. The bottleneck is now in the user ...

Abstract: Visual analytics (VA) requires analysts to iteratively propose analysis tasks based on observations and execute tasks by creating visualizations and interactive exploration to gain insights.

mcp-agent's vision is that MCP is all you need to build agents, and that simple patterns are more robust than complex architectures for shipping high-quality agents.

Moreover, we discuss strategies for metadata selection and human evaluation to ensure the quality and effectiveness of ITDs. By integrating these elements, this tutorial provides a structured ...

Qwen3.5 comes in an open-weight and hosted API version, with the company advertising improvements in performance and costs from previous versions. Qwen3.5 supports new agentic capabilities and is ...

Abstract: The advent of generative agents (GAs) based on large language models (LLMs) has significantly influenced the evolution of agent-based modeling (ABM), offering new perspectives across various ...

Human-agent collaboration is at the heart of the AI-first organization vision, combining human creativity with AI capabilities to boost business efficiency and productivity. As people work with AI ...