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Jul 
21, 
2025

MCP vs A2A: Architecting AI Agent Communication for Enterprise

The AI landscape is shifting towards collaborative, specialized agents. This article provides an essential comparative analysis of emerging AI agent communication protocols: Anthropic's Model Context Protocol (MCP) and Google's Agent-to-Agent (A2A). For ML/AI developers and technical leaders, understanding these frameworks is crucial for building scalable, secure, and composable AI systems....

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Jul 
17, 
2025

Can GenAI Build Satellites?

How can engineers use GenAI, RAG, and MLOps to tackle the complexity of aerospace projects? From managing thousands of documents to building smarter systems faster, this session shows how AI is transforming the future of systems engineering.

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Apr 
29, 
2025

Deep Learning with Category Theory for Developers

This article looks under the hood of deep learning and is perfect for any machine learning developers looking to understand the basics. We’ll show that deep learning can also be approached differently (and much more simply), using slightly more advanced (but not complicated) mathematics and functional programming.

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Feb 
19, 
2024

OpenAI Embeddings

Embedding vectors (or embeddings) play a central role in the challenges of processing and interpretation of unstructured data such as text, images, or audio files. Embeddings take unstructured data and convert it to structured, no matter how complex, so they can be easily processed by software. OpenAI offers such embeddings,...

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