Google Maps + Gemini AI

Google on X: "Today @GoogleMaps is getting its biggest upgrade in over a decade. By combining our Gemini models with a deep understanding of the world, Maps now unlocks entirely new possibilities for how you navigate and explore. Here’s what you need to know 🧵 https://t.co/p6zhbkbvwY" / X

Google’s new London building: Platform 37 and the AI Exchange

The name is a nod to the building’s location next to King’s Cross station and to “Move 37,” a pivotal play made by DeepMind’s AI system AlphaGo in a now-legendary 2016 match against Go world champion Lee Sae Dol. Go is incredibly complex, with more possible board configurations than the number of atoms in the known universe, and has long been a proving ground for AI research. “Move 37” was so unconventional that human experts initially thought it was a mistake. But as the game unfolded, it became clear it enabled AlphaGo to win the game.

AI: Microsoft Work IQ, agentic Copilot in Office

Microsoft "marketing" keeps coming with strange name mixes...

A closer look at Work IQ | Microsoft Community Hub

Work IQ is the intelligence layer that personalizes Microsoft 365 Copilot to you and your organization. It is the “brain” behind Copilot that understands context, relationships, and work patterns, so Copilot and agents can be faster, more accurate, and more secure than model companies that are built on connectors alone.

Work IQ is comprised of three tightly integrated layers – data, context, and skills & tools.

From draft to done: agentic Copilot in Excel, Word, and PowerPoint | Microsoft Community Hub

Copilot is now agentic, collaborating with you to take multi-step, app-native actions directly in Excel, Word, and PowerPoint so you can move work forward where you already work. With Work IQ, Copilot stays grounded in what’s current across your files, meetings, chats, and relationships. Changes are applied in the file—transparent, reviewable, and reversible—so you can iterate with confidence. And because everyone works in the same file, teams can coauthor and refine one version instead of passing copies around.

https://demos.microsoft.com/Microsoft/play/5875/march-moment-agent-apps#/1/5

AI vector Semantic Search in SQL Server 2025

 Semantic Search in SQL Server 2025 – SQLServerCentral

SQL Server introduces a new data type, Vector, to support AI and machine learning workloads. This data type stores multi-dimensional data, making it useful for semantic search, similarity findings, and embedding storage. A vector stores values in an ordered numerical array. For example, a three-dimensional vector is represented as '[0,1,2]'. The Vector data type supports up to 1998 dimensions and uses a familiar JSON array format for creating and storing values