In Fortune, our CEO Demis Hassabis and Google SVP Research, James Manyika, share why they believe AI has the potential to be a transformative tool for scientific discovery - helping us answer some of the most fundamental questions about the universe. ↓ https://goo.gle/3ZbEMUG
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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
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James Manyika delivered the opening address at the inaugural AI for Science Forum, co-hosted by Google DeepMind & the Royal Society, where he laid out how AI is accelerating scientific breakthroughs and can help to address the world's most pressing challenges. Read his remarks: https://goo.gle/3YVg6P3
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Introducing Virgile Galle, Software Engineer at Google Research. Virgile is using AI to tackle the Liner Shipping Network Design and Scheduling Problem (LSNDSP). Could this lead to more efficient and cost-effective shipping? Find out more: https://goo.gle/4fvOI10 #AI #Logistics #Optimization
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Today on the blog, we investigate whether the principles driving the scaling of neural networks in domains like text and image data also extend to large-scale, multimodal wearable sensor data. Read more about scaling wearable foundation models →https://goo.gle/4fYDQJ4
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Meet AlphaQubit, an AI-powered decoder that identifies quantum computing errors with state-of-the-art accuracy. Dive in and discover how it's accelerating progress towards building a reliable quantum computer → https://goo.gle/4eJ0rIi #QuantumAI
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Breakthroughs in AI & quantum computing have dramatically accelerated the pace of scientific discovery. Take a look back at 9 of the breakthrough moments that illustrate the potential of AI to lead to a new era of discovery & tackle critical global issues: https://goo.gle/3Z0AKNA
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Congested streets impact our economies, the environment, & our collective well-being —?to build smarter cities, we need a quantitative understanding of traffic. Read more about a new model that improves traffic predictions on roadways with limited data →https://goo.gle/4fR9JTC
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For those who are unable to speak or type, augmentative & alternative communication devices & eye-gaze typing can provide essential support. Read about SpeakFaster, a research prototype interface that uses LLMs to accelerate eye-gaze typing for users with ALS →https://goo.gle/4eFXM1Y
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The study of disease prevalence, economic security and disasters is very complex and is often limited by various shortcomings in the underlying data. In an effort to mitigate these challenges, today we introduce the Population Dynamics Foundation Model (PDFM), which is a novel geospatial model that users may easily tune to a wide variety of downstream tasks across fields from health to socioeconomics and environmental science. We are also releasing model embeddings and code recipes for interpolation and extrapolation, super-resolution, nowcasting, and more. Learn more at https://goo.gle/3Coo63n
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Today on the blog, read all about how algorithms commonly used in computer science research, such as those from graph theory, can be used to examine how tournaments can be structured to minimize cheating. Learn more →https://goo.gle/4hO6Kxe