Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

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Git isn’t hard to learn. Moreover, with a Git GUI such as Atlassian’s Sourcetree, and a SaaS code repository such as Bitbucket, mastery of the industry’s most powerful version control tools is within ...

The Agent Communication Protocol (ACP) is an open standard designed to enable seamless communication between AI agents, applications, and humans. As AI systems are often developed using diverse ...

Python A2A is an implementation of Google’s Agent-to-Agent (A2A) protocol, which enables AI agents to communicate with each other using a shared, standardized format—eliminating the need for custom ...

On May 30, Monica Crowley ’90 was sworn in as Chief of Protocol of the United States. In this role, she will represent the administration at major events hosted by the United States, including America ...

Model Context Protocol, or MCP, is arguably the most powerful innovation in AI integration to date, but sadly, its purpose and potential are largely misunderstood. So what's the best way to really ...

Telegram is fast becoming one of the world’s most effective crypto onboarding tools. With its mini-app ecosystem, wallet integrations, and large user base of 1 billion people, it turns even casual ...

Developers can now use Pydantic's mcp-run-python server, distributed via JSR, to allow AI agents to execute Python code with automatic dependency handling in isolation. It addresses a frequent ...

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