Could LLMs finally make self-driving cars happen?
In 1928, London was in the middle of a terrible health crisis, devastated by bacterial diseases like pneumonia, tuberculosis, and
React Tutorials
Ant Group’s Robbyant Unveils LingBot-VA 2.0: A Causal Video-Action Model Built Natively for Physical AI
Robbyant, the embodied AI unit inside Ant Group, has released the LingBot-VA 2.0.The first embodied-native foundation model. It describes a
Choosing the Right AI Agent Memory Strategy: A Decision-Tree Approach
In this article, you will learn how to choose the right memory strategy for an AI agent by working through
I Built My Second ETL Pipeline. This Time, I Started Thinking Like a Data Engineer
, I decided I wanted to transition from data analyst to data engineer. Like many people starting out, I was
Hugging Face Models on Foundry Managed Compute
At Microsoft Build 2026, we announced Foundry Managed Compute and Hugging Face models on Foundry — a curated catalog of
New AI Tools for the Future of Science
For centuries, the scientific method has been the greatest engine of human progress. At Google, our mission is deeply rooted
React Tutorials
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 a minimal yet interesting
How Nations Are Deploying AI for Strategic Priorities
Nations have long invested in domestic infrastructure to advance their economies, protect and use their data, and take advantage of
Mamba Explained
The State Space Model taking on Transformers Right now, AI is eating the world. And by AI, I mean Transformers.
How to Build a T4-Friendly Autonomous Data Science Agent with DeepAnalyze-8B, Sandboxed Code Execution, and Iterative Analysis
def _hsize(nbytes): for u in [“B”, “KB”, “MB”, “GB”]: if nbytes < 1024: return f”{nbytes:.1f}{u}” nbytes /= 1024 return f”{nbytes:.1f}TB”