AI Overviews Shouldn’t Be “One Size Fits All” – O’Reilly

The following originally appeared on Asimov’s Addendum and is being republished here with the author’s permission.…

Separating natural forests from other tree cover with AI for deforestation-free supply chains

Acknowledgments This research was co-developed by Google Deepmind and Google Research in collaboration with WRI and…

What exactly does word2vec learn? – The Berkeley Artificial Intelligence Research Blog

What exactly does word2vec learn, and how? Answering this question amounts to understanding representation learning in…

Congratulations to the 2025 Microsoft Partner of the Year Awards winners and finalists

Each year, Microsoft partners redefine what’s possible for customers through innovation, collaboration, and trust built with…

Understanding the nuances of human-like intelligence | MIT News

What can we learn about human intelligence by studying how machines “think?” Can we better understand…

Building ReAct Agents with LangGraph: A Beginner’s Guide

In this article, you will learn how the ReAct (Reasoning + Acting) pattern works and how…

How we think about protecting data

How should personal data be protected? What are the best uses of it? In our networked…

How do you know if you’re ready to stand up an AI gateway?

Agentic AI is moving fast. In post one of this series, we looked at why agentic…

The State of AI: Energy is king, and the US is falling behind

Casey Crownhart writes: In the age of AI, the biggest barrier to progress isn’t money but…

The T+n Problem – O’Reilly

We’ve been watching enterprises struggle with the same customer service paradox for years: They have all…