📝 Data Structures and Algorithms Notes with Python By Eliana Lopez This repository contains a deep dive on Data Structures and Algorithms theory and concepts along with Python based examples of many ...

Alongside the Pixel Watch 4 (and family of Pixel 10 devices), Google also introduced a new “personal health coach” today at its Made By Google event. A preview of it will begin rolling out in October ...

Google has introduced LangExtract, an open-source Python library designed to help developers extract structured information from unstructured text using large language models such as the Gemini ...

Leann Chen discusses how knowledge graphs provide structured data to enhance LLM accuracy, tackling common challenges like hallucinations and the "lost-in-the-middle" phenomenon in RAG systems.

Knowledge graphs serve as the system of intelligence layer to build smarter, more accurate and grounded agents, turning data into actions that drive business outcomes in agentic AI workflows.

Google AI Mode now supports interactive graphs for financial data right in Search, and it’s a game-changing feature.

The demand for data engineering solutions is growing significantly. According to a Market Data Forecast report, the global big data and data engineering market was valued at $75 billion in 2024 and is ...

In the age when data is everything to a business, managers and analysts alike are looking to emerging forms of databases to paint a clear picture of how data is delivering to their businesses. The ...

AI evolution Google DeepMind creates super-advanced AI that can invent new algorithms AlphaEvolve has already made Google's data centers more efficient and improved Tensor chips.

Understanding potential pitfalls—and how to overcome them—can help organizations maximize the value of this technology.