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Google Cloud enables organizations to digitally transform into smarter enterprises. It offers cloud computing, data analytics, and the latest artificial intelligence (AI) and machine learning tools.
We leverage our AI research to improve these solutions for Google Cloud customers around the world.
Our research enables us to decipher written documents, enhance the value of wind energy, and facilitate the utilize of AlphaFold—our breakthrough AI system designed to better predict protein structures.
Expanding Product Innovation with Document AI
From cuneiform tablets to the printing press, countless ways of sharing written knowledge have been developed throughout history. Current documents vary by country, language, and industry—making it tough to extract and utilize this information, especially on a enormous scale.
Google Cloud AI Document allows users to extract and search digital, printed, or handwritten information contained in a document—such as an invoice or tax form.
Before Document AI, industries looking to utilize AI tools to understand documents required massive amounts of training data to perform well. However, this data is often unavailable, incomplete, or lacks proper annotation, preventing widespread AI adoption.
Working with the Google Cloud Document AI team, we’ve developed groundbreaking machine learning models that require 50-70% less training data than others to analyze documents like utility bills and purchase orders.
We are also working to improve Document AI performance in languages with smaller data sets. This way, we can support more customers across industries and geographies leverage the benefits of Document AI.
Adding Value to Wind Energy
As part of our efforts to leverage artificial intelligence achieving net zero emissions by 2030We’ve partnered with Google Cloud Professional Services to advance the wind energy sector — and support build a carbon-free future for all of us.
Wind farms are an vital source of carbon-free electricity, but their output can fluctuate with the weather. To balance supply and demand on the grid, operators rely on forecasts of power generation. If operators can commit to selling a certain amount of electricity based on the forecast for the next day, they can get a better price.
In partnership with Google Cloud, we helped develop a custom AI tool to better predict wind power output. This tool has been trained on weather forecasts and historical customer wind turbine data. An additional model recommends how much power an operator can commit to delivering to the grid the day before.
Global energy and renewable energy supplier ENGIE is currently testing this technology in Germany. If the pilot is successful, ENGIE could deploy the technology across Europe. Making wind power more economically attractive — and more reliable — will encourage the utilize of renewable energy sources. That’s a win-win for everyone.
Making AlphaFold Easier to Utilize with Vertex AI
Developing a novel machine learning model involves many stages, from design to implementation. It also requires a good data infrastructure. To support data scientists and businesses, Google Cloud built Vertex AI, a single platform that enables access to machine learning tools at every stage of the development journey.
After being released our groundbreaking AlphaFold systemthat accurately predicts the three-dimensional structure of proteins, we created it available in Vertex AINow, scientists working in areas as diverse as drug discovery and combating plastic pollution can more easily run AlphaFold’s prediction workflow, tracking experiments, optimizing equipment choices—and managing it all at scale.
In 2022, we also expanded the AlphaFold Protein Structure Database to include nearly every cataloged protein known to science. We partnered with Google Cloud to host this massive database, offering more than 200 million proteins for bulk download. Billions of structures have already been downloaded, and the database has quickly become an indispensable tool for the scientific community, catalyzing a novel wave of progress in biology.