The AI market is on a trajectory to surpass $800 billion by 2030, reflecting its rapid growth and transformative impact on how businesses operate. From ...
Microsoft has launched its Model Context Protocol (MCP) for Azure Functions, ensuring secure, standardized workflows for AI ...
Abstract: The main focus of this manuscript is on the impact of running Python codes in two different environments. Firstly, the Python Integrated Development and Learning Environment (IDLE), and ...
Machine learning didn’t disappear — it embedded itself. These seven competencies define what marketers must architect, govern and measure for 2026.
AI agents have already become an integral part of development in many IT companies, promising faster processes, fewer errors, ...
Type-safe language for the Erlang VM and JavaScript runtimes now supports external annotations for external types.
MongoDB, Inc. today announced an industry-first expansion of its AI capabilities at MongoDB.local San Francisco, bringing ...
Overview: Open-source now drives AI, cloud efficiency, and developer productivity.Projects with strong communities outperform ...
A high-performance, structured logging system for Python applications. Supports async logging, Elastic Stack integration, structured JSON logs, and colorized console output.
Overview: LLMs help developers identify and fix complex code issues faster by automatically understanding the full project ...
Note: jsrun is under development. Expect breaking changes between minor versions. One of the most compelling use cases for jsrun is building safe execution environments for AI agents. When LLMs ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback