Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.

June was sweltering, but the summer heat didn’t slow down open-source software developers. Last month delivered a wave of app ...

This study from Suganthan reveals hidden fields in ChatGPT's network traffic that decide which sources get fetched, cited, or ...

Legacy R&D systems fragment data, limiting integration, collaboration and AI readiness across product development workflows.

Tom Fenton moves from local AI concepts to hands-on tools for matching LLMs to hardware, running local chatbots with Ollama and benchmarking AI performance.

Multi-agent AI agent personality shapes outcomes in collaborative and negotiation workflows but not in structured coding, ...

Spring AI 2.0 advances the Java framework for generative AI apps with a Spring Boot 4 baseline, cleaner agentic tooling, Model Context Protocol support and vendor-backed integrations including Azure ...

Agentic workflows are artificial intelligence-powered software systems that chain together multiple models and external tools ...

Abstract: Deadlocks are highly undesirable phenomenons in automated manufacturing systems (AMSs). Although there exist a number of deadlock control polices, resources are assumed to be not failed. In ...