Skip to content Skip to sidebar Skip to footer

Adaptive Experimentation with Meta’s Ax: A Practical Coding Guide

In this tutorial, we explore adaptive experimentation using Meta’s Ax with the modern Client API. We work through a complete workflow where we tune a RandomForest model on a synthetic classification dataset while balancing predictive accuracy against model footprint. We begin by defining a mixed search space with integer, float, log-scaled, and categorical parameters, then…

Read More

Introducing Lyria 3.5 in Google Flow Music

Our newest music generation model, Lyria 3.5, delivers significant advancements across musicality, lyrics, and vocal quality, empowering you to craft richer tracks. We’re rolling it out today in Google Flow Music, where we want to help you create songs you love, with creative control. Here's what’s new: Improved musicality: Create richer, more complex melodic structures…

Read More

KDnuggets Weekly Roundup: Build and Deploy Your First Autonomous Agent • 7 Machine Learning Algorithms That Still Matter

★ Editor's Pick — Most Read Article This Week 7 Steps to Building and Deploying Your First Autonomous Agent Shittu Olumide  ·  Artificial Intelligence  ·  July 27, 2026 The process outlines how to transition autonomous AI agent prototypes into production-ready systems by focusing on robust orchestration and deployment practices. Successful agent development requires…

Read More

Onton Releases Ontology 1: A Neurosymbolic Search Model That is 2.7x More Accurate than the World’s Best E-commerce Search Engines

Onton, a San Francisco-based search and discovery company, has released Ontology 1, a neurosymbolic model for complex, conversational, multimodal product search. On a 90-query benchmark scored by three independent LLM judges, Ontology 1 reached a mean precision@10 of 0.630, against 0.543 for Google Shopping and 0.469 for Amazon. It did this while indexing roughly 1%…

Read More

Gemini Robotics ER 2

For robots to assist humans in everyday environments, accurate spatial reasoning is not enough. Robots must also think fast, timing their decisions and reasoning with the real-time speed of the physical world. That’s why today we’re launching Gemini Robotics ER 2, our most capable “embodied reasoning” model for robotics. Think of Gemini Robotics ER 2…

Read More

Google DeepMind Ships Three Physical AI Models For Whole Body Control, Dexterity And Multi Robot Collaboration

Google DeepMind has released Gemini Robotics 2, the intelligence layer for its next generation of robots. The release moves the stack past table-top manipulation into whole body control, five finger dexterity and multi robot teamwork. It ships as three separate models with three different access tiers. Most robots today are pre-programmed or tele-operated for narrow,…

Read More

5 Must-Read Resources for Mastering Small Language Models

  #  Introduction   The narrative around generative AI is shifting in 2026. While massive frontier models keep grabbing headlines, the reality of enterprise AI deployment looks very different. Cost constraints, latency limits, and strict data privacy requirements have pushed engineering teams away from trillion-parameter behemoths and toward small language models (SLMs). Ranging from 1…

Read More