When it comes to selecting artificial intelligence (AI) software, enterprise leaders are finding themselves overwhelmed by ...

In recent years, large language models (LLMs) have demonstrated exceptional capabilities across various tasks. However, the effectiveness of LLMs in software requirement classification has yet to be ...

The 52 counties honored in this year's awards from the Center for Digital Government are transforming local government with cutting-edge tech while focusing on resident services.

Identifying functional and non-functional requirements at an early phase is essential for project success. However, the requirements engineering community still lacks a comprehensive understanding of ...

For organizations, email remains a critical legal and operational asset. Archiving, audit trails, and compliance features help companies meet regulatory requirements and protect institutional ...

The substantial increase in mental health disorders globally necessitates scalable, accurate tools for detecting and classifying these conditions in digital environments. This study addresses the ...

Someday, we won’t even look at the code that our AI agent produces. We’ll take it for granted, just as we do the assembly ...

The panelists demystify AI agents and LLMs. They define agentic AI, detail architectural components, and share real-world use cases and limitations. The panel explores how AI transforms the SDLC, ...

When choosing the right AI model for your enterprise, don’t just ask how well it scores. Ask how well it works for your ...

Experts from General Motors, Zoom and IBM discuss how their companies and customers consider AI model selection.

To accomplish this, the system uses Monte Carlo Tree Search (MCTS), a decision-making algorithm famously used by DeepMind’s AlphaGo. At each step, AB-MCTS uses probability models to decide whether ...