Most widely cited AI coding benchmarks, including the original SWE-bench, were built primarily around Python repositories, meaning headline performance results may not accurately predict how coding ag ...

Gartner warned that over 40% of agentic AI projects may be canceled by 2027. The problem is governance, data access, ...

Even as they adopt AI, companies are measuring employee performance with familiar metrics of success: productivity, goal ...

An agent’s ability to complete a task is important, but true readiness depends on how it performs when conditions change and ...

Speculative decoding can help AI chatbots improve throughput and reduce hardware demand by using a smaller model to draft tokens that a larger model validates.

MotherDuck is launching Flights, an agent-native data pipeline that enables users to choose the MCP server and AI agent of their choice to build and deploy data pipelines in minutes using a flexible, ...

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

Abstract: This paper focuses on the multi-agent safe control problem for stochastic systems. We propose a probabilistic certificate for safety and performance specifications and use it to construct a ...

Retailers are no longer asking whether artificial intelligence belongs in the business. Nearly every organization is experimenting with AI in some form, whether through personalization engines, ...

Deploying an AI agent in a contact centre is now a standard project. Getting it to perform reliably, adapt over time, and connect meaningfully to customer history is a different problem — one most ...

New Zoom Virtual Agent capabilities help organizations build AI agents faster, optimize performance over time, and deliver more personalized customer experiences through a connected Zoom CX platform.