A New Era of Innovation: Google Research at I/O 2026
General Science
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Google Pay preps for AI agents with Universal Commerce Protocol
Google Pay is overhauling its fee infrastructure for an impending wave of transactions from AI agents. The newest updates introduce the Universal Commerce Protocol and a brand new server structure, positioning Google Pay as a central clearinghouse for purchases executed by autonomous agents quite than human customers. AI agents – designed to carry out duties…
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The AI-first GTM strategist: agents, workflows, and knowing when to stop
Most GTM groups do not have a framework for deciding the place What is an AI agent, and why deploying it’s much less like utilizing a instrument and extra like a digital working system The take a look at that tells you which of them one matches The sensible take a look at for which…
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NBA plans AI system for automatic out-of-bounds calls
NBA Commissioner Adam Silver stated the league plans to introduce an automatic system for sure officiating choices, together with out-of-bounds calls. The system would use AI and cameras positioned across the court docket to find out possession. Silver in contrast the method to Hawk-Eye, the monitoring expertise used for line calls in tennis. Disputed name…
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Perplexity AI Open-Sources Unigram Tokenizer That Achieves 5x Lower p50 Latency Than Hugging Face tokenizers Crate
Perplexity AI’s analysis crew reimplemented their Unigram tokenizer from scratch in Rust and open-sourced the code in pplx-garden, their inference expertise repository. At manufacturing enter lengths, the brand new encoder cuts p50 latency by roughly 5x versus the Hugging Face tokenizers crate, ~2x versus SentencePiece (C++), and ~1.5x versus IREE’s tokenizer (C), with zero steady-state…
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A Coding Guide to Implement a pgvector-Powered Semantic, Hybrid, Sparse, and Quantized Vector Search System
In this tutorial, we construct a full pgvector playground inside Google Colab and discover how PostgreSQL can work as a highly effective vector database for contemporary AI purposes. We begin by putting in PostgreSQL, compiling the pgvector extension, connecting via Psycopg, and registering vector varieties for clean Python integration. Then, we create embeddings with SentenceTransformers,…
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Sakana AI Proposes DiffusionBlocks: a Block-wise Training Framework That Converts Residual Networks into Independently Trainable Denoising Modules
Researchers from Sakana AI and the University of Tokyo suggest DiffusionBlocks. It trains transformer-based networks one block at a time. Training reminiscence is lowered by a issue of B, the place B is the variety of blocks. Performance is maintained throughout various architectures. The Memory Problem in Neural Network Training End-to-end backpropagation requires storing intermediate…
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NVIDIA Releases Polar, a Token-Faithful Rollout Framework for GRPO Training Across Codex, Claude Code, and Qwen Code
Reinforcement studying for language brokers is rising extra complicated. Agents now handle multi-turn device use, long-running contexts, and multi-agent orchestration. The fundamental engineering problem is connecting present agent software program to coaching pipelines with out breaking how these instruments work. NVIDIA’s analysis staff launched Polar, a rollout framework that lets researchers run reinforcement studying over…
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Private analytics via zero-trust aggregation
Security, Privacy and Abuse Prevention
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Google folds Display Ads into AI-first Demand Gen platform
Google is folding Display Ads into its AI-powered Demand Gen platform, marking the tip of a long-standing digital promoting mannequin. The Google Display Network (GDN) has been a staple of the open web for nearly twenty years. Marketers beforehand relied on its predictable framework to focus on placements, bid on audiences, and A/B take a…
