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Towards better health conversations: Research insights on a “wayfinding” AI agent based on Gemini

Google Researchers share user insights from a novel research AI agent that helps people find their way to better health information through proactive conversational guidance, goal understanding, and tailored conversations. The ability to find clear, relevant, and personalized health information is a cornerstone of empowerment for medical patients. Yet, navigating the world of online health […]

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The anatomy of a personal health agent

Learn about Google Researchers research prototype, an LLM-powered personal health agent that analyzes data from everyday wellness devices paired with health data, such as blood biomarkers, to offer evidence-based health insights and to provide a personalized coaching experience. The rapid advancement of large language models (LLMs), combined with data from wearable devices, presents a transformative opportunity

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AlphaEvolve: an LLM-based coding agent, to find and verify combinatorial structures that improve results on the hardness of approximately solving certain optimization problems.

Algorithms & Theory Google Researchers invoke AlphaEvolve, an LLM-based coding agent, to find and verify combinatorial structures that improve results on the hardness of approximately solving certain optimization problems. Recently, large language models (LLMs) have demonstrated surprising capabilities in competitive mathematics and competitive programming, demonstrating world-leading performance across both of these fields. However, their successes in mathematical discovery

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Introducing interactive on-device segmentation in Snapseed

  A novel mobile technology that facilitates real-time image segmentation, thereby improving the user experience for photo editing within Snapseed. The key to elevating a good photo often lies in selective image adjustments: brightening a subject in the foreground, enhancing the sky, or making the color of a jacket pop. Yet, isolating specific elements with

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A collaborative approach to image generation : PASTA

Google Research introduce PASTA, a reinforcement learning agent that refines text-to-image output over multiple turns of interaction with a user by learning their unique preferences. This process is made possible by a novel user simulation technique. You have a perfect image in your mind. You enter a prompt, hit generate, and the result is close

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​​Speech-to-Retrieval (S2R): A new approach to voice search

Voice Search is now powered by our new Speech-to-Retrieval engine, which gets answers straight from your spoken query without having to convert it to text first, resulting in a faster, more reliable search for everyone. Voice-based web search has been around a long time and continues to be used by many people, with the underlying

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XR Blocks: Accelerating AI + XR innovation

XR Blocks is an open-source framework to help you develop immersive experiences for the web, featuring XR realism, XR interaction, and AI + XR applications with live demos in xrblocks.github.io. The combination of artificial intelligence (AI) and extended reality (XR) has the potential to unlock a new paradigm of immersive intelligent computing. However, a significant gap

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Coral NPU: A full-stack platform for Edge AI

Introducing Coral NPU, a full-stack, open-source platform designed to address the core performance, fragmentation, and privacy challenges that limit powerful, always-on AI with low-power edge devices and wearables. Generative AI has fundamentally reshaped our expectations of technology. We’ve seen the power of large-scale cloud-based models to create, reason and assist in incredible ways. However, the

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Using AI to identify genetic variants in tumors with DeepSomatic

DeepSomatic is an AI-powered tool that identifies cancer-related mutations in a tumor’s genetic sequence to help pinpoint what’s driving the cancer. Cancer is fundamentally a genetic disease in which the genetic controls on cell division go awry. Many types of cancer exist, and each poses unique challenges as it can have distinct genetic underpinnings. A

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Solving virtual machine puzzles: How AI is optimizing cloud computing

We present LAVA, a new scheduling algorithm that continuously re-predicts and adapts to the actual lifetimes of virtual machines to optimize resource efficiency in large cloud data centers. Imagine a puzzle game similar to Tetris with pieces rapidly falling onto a stack. Some fit perfectly. Others don’t. The goal is to pack the blocks as

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