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Google AI model mines trillions of images to create maps of Earth 'at any place and time'
The technology giant Google has released an artificial intelligence (AI) model that acts as a 'virtual satellite' to weave together trillions of disparate observations -- satellite images, radar and more -- to track changes in land and shallow waters across Earth. Researchers are lauding the sheer
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Google's Newest AI Model Acts like a Satellite to Track Climate Change
AlphaEarth Foundations is a chip off Google DeepMind block -- and it's here to help save the world. Google's newest AI model is going to scour the Earth and, ideally, help it out. That's the plan, anyway. The mission is to find out once and for all, in fine detail, what we are doing to our planet.
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Google AI Model Helps Us See the Planet as We Never Have Before
Alex Valdes from Bellevue, Washington has been pumping content into the Internet river for quite a while, including stints at MSNBC.com, MSN, Bing, MoneyTalksNews, Tipico and more. He admits to being somewhat fascinated by the Cambridge coffee webcam back in the Roaring '90s. It's a view of Mother
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Google calls its new AI model a "virtual satellite.
Called AlphaEarth Foundations, the model stitches together data from actual satellite images, radar, climate simulations, and more to map Earth's land and coastal waters. "The Satellite Embedding dataset is revolutionizing our work by helping countries map uncharted ecosystems - this is crucial
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Google AI model maps world in 10-meter squares for machines
DeepMind geospatial AI model offers comprehensive view of Earth image data Google has released a new AI model that maps the world in 10-meter squares for machines to read. The company's AlphaEarth Foundations model has been trained on vast amounts of Earth observation data from satellites and
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Google's 'virtual satellite' AI model can provide a near real-time view of Earth
It can help researchers track changes to our planet over time. Google has introduced a new AI model called AlphaEarth Foundations that it says can function like a "virtual satellite." The model uses a system called "embedding," which works by taking big volumes of pubic information from various
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A new Google Earth AI model aims to make satellites obsolete
I tried using Android without any Google apps. Here's how far I could go Google's new AlphaEarth Foundations AI isn't a satellite. It's a system designed to make satellites themselves a lot less indispensable. Instead of waiting for orbital flyovers and stitching together uneven, sometimes cloudy
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AlphaEarth Foundations helps map our planet in unprecedented detail
New AI model integrates petabytes of Earth observation data to generate a unified data representation that revolutionizes global mapping and monitoring Every day, satellites capture information-rich images and measurements, providing scientists and experts with a nearly real-time view of our
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Google DeepMind says its new AI can map the entire planet with unprecedented accuracy
Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Google DeepMind announced today a breakthrough artificial intelligence system that transforms how organizations analyze Earth's surface,
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Google Earth AI: Our state-of-the-art geospatial AI models
Sorry, your browser doesn't support embedded videos, but don't worry, you can download it and watch it with your favorite video player! We've spent years building powerful AI models to solve real-world problems. Today we're introducing Google Earth AI, our collection of geospatial models and
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Google DeepMind releases highly accurate AI model map of Earth - SiliconANGLE
Google DeepMind releases highly accurate AI model map of Earth Google DeepMind, Alphabet Inc.'s artificial intelligence research arm, announced the release of AlphaEarth Foundations on Wednesday, a new AI model that can process terabytes of daily satellite data to track changes on the Earth's
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DeepMind unveils AlphaEarth to map planet in 10-meter detail
Google DeepMind has announced a new artificial intelligence system, AlphaEarth Foundations, designed to analyze the Earth's surface by integrating vast amounts of observation data into a unified digital model. The system processes information from multiple sources, including optical satellite
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The AI That Can Predict Environmental Disasters Before They Strike
AlphaEarth, created by DeepMind, is not some other AI test. It's a planetary-scale monitoring system driven by machine learning - to observe, study, and forecast Earth's dynamic surface in near real-time. Imagine a "virtual satellite" that never closes its eyes. Conventional satellite systems
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New Google AI model monitors changes on Earth from orbit - VnExpress International
Google is rolling out AlphaEarth Foundations, a new AI model designed to track in detail changes occurring on Earth. The system will identify how human activity is shaping the planet, and suggest solutions to mitigate environmental damage, according to U.S. magazine Wired. AlphaEarth Foundations
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Google has released AlphaEarth Foundations, an AI model that integrates vast amounts of Earth observation data to create detailed, up-to-date maps of the planet's land and coastal waters.
Google, in collaboration with its DeepMind AI unit, has unveiled a groundbreaking artificial intelligence model called AlphaEarth Foundations. This innovative technology acts as a 'virtual satellite,' weaving together trillions of disparate observations from satellite images, radar, and other sources to track changes in land and shallow waters across Earth
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Source: CNET
AlphaEarth Foundations maps the world "at any place and time" in remarkable detail, processing data into 10-meter squares covering land surfaces and coastal regions
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. The model uses a system called "embeddings" to analyze and compress terabytes of daily satellite data, resulting in color-coded maps that indicate material properties, vegetation types, groundwater sources, and human constructions2
.What sets AlphaEarth apart is its efficiency. The model's data summaries require 16 times less storage space than those produced by other AI systems, dramatically reducing the cost of planetary-scale analysis
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. This efficiency is achieved through 64-dimensional embeddings, each representing a 10-meter pixel that encodes data from multiple sources about terrestrial surface conditions over the course of a year5
.Scientists and researchers can use AlphaEarth for a wide range of applications, including:
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Nicholas Murray, director of the James Cook University Global Ecology Lab, highlighted the model's potential: "The Satellite Embedding dataset is revolutionizing our work by helping countries map uncharted ecosystems - this is crucial for pinpointing where to focus their conservation efforts"
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Source: Nature
AlphaEarth Foundations improves upon prior geospatial foundation models like SatMAE and SatCLIP by averaging embeddings across multiple sources, incorporating time into the modeling framework, and offering high-precision spatial resolution
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. Google claims that the model outperforms similar AI models in terms of both accuracy and data density, with an error rate 24 percent lower than other models1
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.Related Stories
Google has made AlphaEarth's data sets available through its Earth Engine, a cloud-based platform that hosts separate repositories of data covering topics such as agriculture, deforestation, and weather
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. The company plans to regularly update these data sets, which come fully processed and ready for exploration by scientists.
Source: Wired
While the scientific community has lauded the scale and potential of AlphaEarth Foundations, some researchers are calling for more information about Google's testing procedures. Solomon Hsiang, who co-founded a competing AI model, urges Google to release not just the processed information but also the actual data from its testing
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.Ultimately, the responsibility will fall on individual researchers to assess the accuracy of the data and any limitations as they probe particular attributes of Earth. As the technology continues to evolve, it promises to provide unprecedented insights into our planet's changing landscape, potentially revolutionizing environmental research and conservation efforts.
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