Google-Meta AI lease signals shift to intelligence as a utility in the data economy

Companies are no longer just buying chips. They are connecting to the larger global network of computational power capable of ...
InfoQ

Why Most Machine Learning Projects Fail to Reach Production

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
GitHub

MetaAgent: Toward Self-Evolving Agent via Tool Meta-Learning

MetaAgent is a next-generation agentic AI framework built on the principle of learning-by-doing: expertise is developed through hands-on practice and continual self-improvement, not through static ...
Road to VR

Meta’s Language Learning App for Quest Combines Mixed Reality and AI

Meta released an open source language learning app for Quest 3 that combines mixed reality passthrough and AI-powered object recognition. Called Spatial Lingo: Language Practice, the app not only aims ...
usace.army.mil

Army establishes new AI, machine learning career path for officers

WASHINGTON – The U.S. Army has established a new career pathway for officers to specialize in artificial intelligence and machine learning (AI/ML), formally designating the 49B AI/ML Officer as an ...
New Scientist

Inside world's ultimate X-ray machine before it becomes more powerful

The Klystron Gallery, a concrete hallway studded with evenly spaced metal cylinders, is long enough to extend past my line of sight. But as I stand inside it, I know that something even more ...
Beebom

What is the Difference Between Deep Learning and Machine Learning

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...
VentureBeat

Meta’s DreamGym framework trains AI agents in a simulated world to cut reinforcement learning costs

Researchers at Meta, the University of Chicago, and UC Berkeley have developed a new framework that addresses the high costs, infrastructure complexity, and unreliable feedback associated with using ...
Computerworld

Meta’s SPICE framework pushes AI toward self-learning without human supervision

The new reinforcement learning system lets large language models challenge and improve themselves using real-world data instead of curated training sets. Meta researchers have unveiled a new ...
InfoWorld

AI and machine learning outside of Python

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.
TechCrunch

The post-training revolution: How reinforcement learning is upending the AI infra stack

TechCrunch was proud to host Scale Venture Partners at Disrupt 2025 in San Francisco. Here’s an overview of their AI Stage session. The reinforcement learning market has exploded, with enterprises ...