With unprecedented & increasing velocity, Google Research teams are using AI to address fundamental scientific questions, advance research, & make real-world impact across disciplines from quantum computing to genomics and neuroscience. Read all about it →https://goo.gle/3RUIbCT
About us
From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day. We aspire to make discoveries that impact everyone, and sharing our research and tools to fuel progress in the field is fundamental to our approach.
- Website
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https://research.google/
External link for Google Research
- Industry
- Technology, Information and Internet
- Company size
- 1,001-5,000 employees
Updates
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Inefficiency remains a major challenge in global shipping. Delays at anchorage can stretch for days, disrupting supply chains. But what if vessel schedules could be optimized to decrease operational costs while shipping more containers? Our Shipping Network Design API is designed to go beyond route planning, dynamically modeling vessel schedules to help mitigate congestion and improve port operations. By integrating network design, scheduling, and container routing, we aim to help carriers move goods more efficiently. Explore how our approach could enhance flow across global ports: https://goo.gle/43jQsGR
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Google Research reposted this
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With over 70M exams annually in the US alone, computed tomography (CT) scans are the most common 3D medical imaging modality. However, because they are 3D and contain hundreds of slices, they are more complex and time-consuming for radiologists compared to 2D X-rays and require more resources for AI model development. CT Foundation helps researchers overcome these hurdles. It processes full CT scans to produce information-rich, compact embeddings, enabling the development of CT interpretation tools using less data and compute, which streamlines AI development. See how it works → https://goo.gle/4dYkClf
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Today, in collaboration w/ colleagues at the Institute of Science and Technology Austria (ISTA), we report the first-ever method for using light microscopy to comprehensively map all the neurons & their connections in a block of mouse brain tissue. More →https://goo.gle/4maUNUs
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Today Google Research introduces a system using Gemini models designed for high fidelity text simplification, that enhances clarity while preserving meaning, detail, & nuance — and it’s available in a new feature in the Google app for iOS, Simplify. More →https://goo.gle/4iM6oGn
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To ensure AI can address key local needs, such as accessible health information, we need data that represents people globally. Learn how Amplify Initiative builds an open, community-based data platform scaling novel data collection & validation globally →https://goo.gle/3GLeRMI
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Building on Articulate Medical Intelligence Explorer — AMIE, our research diagnostic conversational AI agent — today on the blog we share a first of its kind demonstration of a multimodal conversational diagnostic AI agent, multimodal AMIE. Learn more →https://goo.gle/42D0QcB
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Congratulations to Artem Dementyev, Dimitri Kanevsky, Samuel J. Yang, Mathieu Parvaix, Chiong Lai, & Alex Olwal, recipients of the 2025 ACM CHI Best Paper Award for their work on SpeechCompass! Be sure to check out their paper, "SpeechCompass: Enhancing Mobile Captioning with Diarization and Directional Guidance via Multi-Microphone Localization" here: https://lnkd.in/gFYiuaBw
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Today we announce TRINDs, a dataset and benchmarking pipeline that uses synthetic personas to train and optimize performance of LLMs for tropical and infectious diseases, which are out-of-distribution for most models. Learn more →https://goo.gle/4cTAZR4