Category Added in a WPeMatico Campaign
The personal health coach is built with Gemini models to deliver personalized and adaptive coaching, grounded in science and informed by expert oversight. Historically, health and fitness journeys have been fragmented, generic and inaccessible, whether within existing apps or through general health and fitness journeys outside of apps. For instance, a primary care provider might […]
Afrimed-QA, a collection of contextually relevant datasets for evaluation of LLMs on African health question answering tasks, developed in partnership with organizations across Africa. Large language models (LLMs) have shown potential for medical and health question answering across various health-related tests spanning different formats and sources, such as multiple choice and short answer exam questions
AfriMed-QA: Benchmarking large language models for global health Read More »
We introduce StreetReaderAI, a new accessible street view prototype using context-aware, real-time AI and accessible navigation controls. Interactive streetscape tools, available today in every major mapping service, have revolutionized how people virtually navigate and explore the world — from previewing routes and inspecting destinations to remotely visiting world-class tourist locations. But to date, screen readers
StreetReaderAI: Towards making street view accessible via context-aware multimodal AI Read More »
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
We detail how confidential federated analytics technology is leveraged to understand on-device generative AI features, ensuring strong transparency in user data handling and analysis. Generative AI (GenAI) enables personalized experiences and powers the creation of unstructured data, including summaries, transcriptions, and more. Insights into real-world AI use [1, 2] can help GenAI developers enhance their tools
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
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
Project Suncatcher is a moonshot exploring a new frontier: equipping solar-powered satellite constellations with TPUs and free-space optical links to one day scale machine learning compute in space. Artificial intelligence (AI) is a foundational technology that could reshape our world, driving new scientific discoveries and helping us tackle humanity’s greatest challenges. Now, we’re asking where
Exploring a space-based, scalable AI infrastructure system design Read More »
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
Introducing interactive on-device segmentation in Snapseed Read More »
