Due to inherent hardware limitations, the POV in video see-through headsets can deviate from the user's natural POV and often results in discomfort. Learn how geometry aware passthrough systems mitigate these effects through accurate depth perception →https://goo.gle/4i23E8y
关于我们
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.
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https://research.google/
Google Research的外部链接
- 所属行业
- 科技、信息和网络
- 规模
- 1,001-5,000 人
动态
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We are excited to present our research on a new analog-digital method for quantum simulation. By combining the best of both worlds, this hybrid approach provides a new promising avenue towards using quantum computers for applications that are not possible on classical computers. We already employed analog-digital simulations to make a noteworthy scientific discovery, namely the breakdown of a famous physics theory known as the Kibble-Zurek mechanism. Excitingly, the Lukin group from Harvard reported on similar observations in the same issue, thus underscoring the importance of this new insight. Read more here → https://goo.gle/419EGOA
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Google Research is proud to contribute to Google's inaugural Health Report, reaffirming our commitment to human-centered AI for global health. Research highlights from the report: - Published over 250 papers on AI in Health since 2016. - Detecting tuberculosis in India with bioacoustic AI (potential to screen 35 million people). - Making ultrasound interpretation accessible for midwives. - Improving breast cancer detection accuracy. - Researching the future of diagnostic AI with AMIE, exploring how clinical reasoning and conversational empathy can improve patient experiences. Explore the full report to learn more: https://lnkd.in/gzR-d2i8
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Willow represents a significant leap forward in quantum hardware, achieving a 10,000x improvement in repetition code performance over our previous Sycamore chip. But can we reach the near-perfect qubits needed for fault-tolerant quantum computing? Our latest research offers exciting clues, including insights into an unexpected "error floor" phenomenon. Dive in → goo.gle/4g0Fbz7
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Today, we present an AI co-scientist system, built on Gemini 2.0, which we designed to go beyond standard summarization and deep research tools to aid scientists in generating novel hypotheses and research plans. So far, the system's hypotheses have seen promising results in early studies on several important challenges in biomedicine, including drug repurposing for acute myeloid leukemia, understanding genetic mechanisms of antimicrobial resistance, and novel treatment target discovery for liver fibrosis. Learn more how this tool works and how to join our Trusted Tester Program on the Google Research Blog at https://goo.gle/417wJrA??
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That's a wrap on Research@ Sydney! The team recently presented their exciting work on Aboriginal English Voices, Multilinguality, Hearing, Operations Research, and Open Models. A huge thank you to all who participated. This event was part of our Research@ series, launched to spark conversations and collaborations across the global research community. The series provides a unique platform for our researchers to share findings, spark new ideas, and connect with fellow researchers worldwide. We're thrilled to continue this series in 2025 and look forward to more opportunities for researchers to advance research together!
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Floods devastate communities worldwide, and at Google Research, we're committed to leveraging AI to improve flood forecasting and response. Today, we're excited to announce new advanced features in Flood Hub, designed to empower aid organizations, governments, and researchers. Key updates: * Inundation History Maps: High-resolution flood risk visualization for pre-planning and areas without real-time inundation data. * Basin View Per Gauge: Enhanced flood forecast tracking for specific locations like villages, hospitals, and shelters. * Improved Layers Panel & Help Center: Clearer information and detailed explanations of Flood Hub features. These updates are already making a real-world impact. In 2024, our partnerships with GiveDirectly and the International Rescue Committee (IRC) in Nigeria and Bangladesh demonstrated the power of AI-driven anticipatory action. By utilizing our Flood API and Flood Hub, they delivered critical cash support to vulnerable communities before flood peaks, significantly enhancing resilience. We're proud to support initiatives like GiveDirectly's AI-powered cash relief in Africa and the IRC's replication of this approach in other regions. These efforts highlight the potential of AI to transform disaster response. We invite government agencies, NGOs, and researchers to explore Flood Hub and our Flood Forecasting research site. Together, we can build more resilient communities. Learn more about these advancements: https://goo.gle/41myMJO #GoogleResearch #FloodForecasting #DisasterRelief #HumanitarianAid #AI
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Explore the groundbreaking world of quantum computing with Ryan Babbush, Director of Quantum Algorithms and Applications Research at Google. In this conversation, Ryan discusses the potential of quantum computing to revolutionize industries like medicine, materials science, and cybersecurity. He also delves into the challenges and progress in developing quantum-resistant encryption and the exciting possibilities of quantum machine learning. Discover how Google is leading the charge in this transformative field. https://goo.gle/4hyVXGy
What They Rarely Reveal About Quantum Computing: Without an Algorithm, It's Hype
https://www.youtube.com/
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For many use cases, multiple LLM agents may need to balance potentially diverging preferences to create joint output. In a recent paper, which won the #TheWebConf24 Best Paper Award, we describe a new class of mechanisms for these situations. Read more at https://goo.gle/4jZZkrs
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Modern ML models are used by people around the world who have a variety of perspectives that often align along socio-cultural and demographic lines. Today we describe effective ways to integrate these considerations into the ML modeling pipeline. https://goo.gle/3QhEQNp
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