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 ...

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 ...

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 ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More In our first installment, we outlined key strategies for leveraging AI ...

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 ...

The scaling behaviour of agent-based computational models, to evaluate transmission risks of infectious diseases, is addressed. To this end we use an existing computational code, made available in the ...

Cloud privileged access management (PAM) has evolved significantly over the last several years, establishing itself as a crucial element in an organization's security strategy for cloud service ...

In today's business environment, characterized by rapid technological evolution, application modernization has become an essential strategic step to ensure the competitiveness and efficiency of ...