Agent-based AI impresses in demos, but many applications often fail in live operation because, for example, latency is too high or the systems are too complex. This shows that, in practice, it is less ...

Business models don’t evolve by accident. At Salesforce Inc., operational discipline and strategic clarity are shaping a new chapter driven by automation and agent-based systems. Customer demand for ...

How event-driven design can overcome the challenges of coordinating multiple AI agents to create scalable and efficient reasoning systems. While large language models are useful for chatbots, Q&A ...

Due to the lack of domain classification theory for domain-specific machine translation, the quality of translation in this area is low. We propose a domain classification system based on HNC and ...

Today, multi-agent systems (MAS) have emerged as transformative technologies, driving innovation and efficiency across various industries. Comprising multiple autonomous agents working collaboratively ...

At VivaTech 2026, MaiAgent, a Taiwan-based enterprise AI agent platform, said it is helping enterprises worldwide advance ...

Enterprise AI is shifting from copilots to agentic systems that act autonomously, driven by better data, governance, and ...

Simulated patient systems are vital in medical education and research, providing safe, integrative training environments and supporting clinical decision-making. Progressive Artificial Intelligence ...

Close-up on the pipetting arm of a robot; some hydraulics and the top of a 96-well plate are also visible. A pipetting robot handles liquid in a laboratory in 2023. Researchers developing autonomous ...

Which technologies, designs, standards, development approaches, and security practices are gaining momentum in multi-agent enterprise systems? We asked the experts. Agentic AI has emerged as the ...