Analysis
Google Cloud empowers organizations to digitally remodel themselves into smarter companies. It presents cloud computing, knowledge analytics, and the newest synthetic intelligence (AI) and machine studying instruments.
Utilizing our AI analysis, we’re making these options higher for Google Cloud clients everywhere in the world.
Our analysis is deciphering written paperwork, enhancing the worth of wind power, and making it simpler to make use of AlphaFold — our breakthrough AI system designed to raised predict protein buildings.
Increasing product innovation throughout Doc AI
From cuneiform tablets to the printing press, numerous methods of sharing written data have been developed all through historical past. Trendy paperwork fluctuate throughout nations, languages, and industries — making it arduous to extract and use that data, significantly at scale.
Google Cloud’s Doc AI permits customers to make digital, printed, or handwritten data contained inside a doc — like an bill or tax type — extractable and queryable.
Earlier than Doc AI, industries trying to make use of AI instruments for doc understanding wanted huge quantities of coaching knowledge to carry out effectively. However this knowledge is commonly unavailable, incomplete, or lacks correct annotation, stopping widespread AI adoption.
Working along with the Google Cloud Doc AI staff, we developed revolutionary machine studying fashions that want 50-70% much less coaching knowledge than others to parse paperwork like utility payments and buy orders.
We’re additionally working to enhance Doc AI’s efficiency in languages with smaller datasets. That approach, we will help extra clients throughout totally different industries and geographies leverage the advantages of Doc AI.
Enhancing the worth of wind power
As a part of our efforts to make use of AI for reaching net-zero emissions by 2030, we partnered with Google Cloud Skilled Providers to advance the wind power sector — and to assist construct a carbon-free future for all.
Wind farms are an necessary supply of carbon-free electrical energy, however their output can fluctuate relying on the climate. To steadiness provide and demand within the electrical energy grid, operators depend on power technology forecasts. If operators can decide to promoting a specific amount of electrical energy based mostly on the subsequent day’s forecast, they will get a greater value.
In collaboration with Google Cloud, we helped develop a customized AI device to raised predict wind energy output. This device was educated on climate forecasts and the shopper’s historic wind turbine knowledge. An extra mannequin recommends how a lot power an operator can decide to delivering to the electrical energy grid, a day prematurely.
The worldwide power and renewables provider ENGIE is now piloting this expertise in Germany. If the pilot is profitable, ENGIE would possibly apply the expertise throughout Europe. Making wind power extra economically enticing — and enhancing its reliability — will encourage the uptake of renewables. That’s a win for everybody.
Making AlphaFold simpler to make use of with Vertex AI
The event of a brand new machine studying mannequin entails many levels — from design to deployment. It additionally wants good knowledge infrastructure. To help knowledge scientists and companies, Google Cloud constructed Vertex AI, a single platform to entry machine studying instruments for each step of the event journey.
After releasing our breakthrough AlphaFold system, which precisely predicts the 3D construction of proteins, we made it obtainable on Vertex AI. Now, scientists working in areas as various as drug discovery or preventing plastic air pollution, can run the AlphaFold prediction workflow extra simply by monitoring experiments, optimizing {hardware} choice — and managing all of it at scale.
In 2022, we additionally expanded the AlphaFold Protein Construction Database to incorporate almost all cataloged proteins identified to science. We’ve partnered with Google Cloud to host this big database, providing greater than 200 million proteins for bulk obtain. Billions of buildings have already been downloaded and the database shortly grew to become a necessary device for the scientific neighborhood, catalyzing a brand new wave of progress in biology.
Analysis
Google Cloud empowers organizations to digitally remodel themselves into smarter companies. It presents cloud computing, knowledge analytics, and the newest synthetic intelligence (AI) and machine studying instruments.
Utilizing our AI analysis, we’re making these options higher for Google Cloud clients everywhere in the world.
Our analysis is deciphering written paperwork, enhancing the worth of wind power, and making it simpler to make use of AlphaFold — our breakthrough AI system designed to raised predict protein buildings.
Increasing product innovation throughout Doc AI
From cuneiform tablets to the printing press, numerous methods of sharing written data have been developed all through historical past. Trendy paperwork fluctuate throughout nations, languages, and industries — making it arduous to extract and use that data, significantly at scale.
Google Cloud’s Doc AI permits customers to make digital, printed, or handwritten data contained inside a doc — like an bill or tax type — extractable and queryable.
Earlier than Doc AI, industries trying to make use of AI instruments for doc understanding wanted huge quantities of coaching knowledge to carry out effectively. However this knowledge is commonly unavailable, incomplete, or lacks correct annotation, stopping widespread AI adoption.
Working along with the Google Cloud Doc AI staff, we developed revolutionary machine studying fashions that want 50-70% much less coaching knowledge than others to parse paperwork like utility payments and buy orders.
We’re additionally working to enhance Doc AI’s efficiency in languages with smaller datasets. That approach, we will help extra clients throughout totally different industries and geographies leverage the advantages of Doc AI.
Enhancing the worth of wind power
As a part of our efforts to make use of AI for reaching net-zero emissions by 2030, we partnered with Google Cloud Skilled Providers to advance the wind power sector — and to assist construct a carbon-free future for all.
Wind farms are an necessary supply of carbon-free electrical energy, however their output can fluctuate relying on the climate. To steadiness provide and demand within the electrical energy grid, operators depend on power technology forecasts. If operators can decide to promoting a specific amount of electrical energy based mostly on the subsequent day’s forecast, they will get a greater value.
In collaboration with Google Cloud, we helped develop a customized AI device to raised predict wind energy output. This device was educated on climate forecasts and the shopper’s historic wind turbine knowledge. An extra mannequin recommends how a lot power an operator can decide to delivering to the electrical energy grid, a day prematurely.
The worldwide power and renewables provider ENGIE is now piloting this expertise in Germany. If the pilot is profitable, ENGIE would possibly apply the expertise throughout Europe. Making wind power extra economically enticing — and enhancing its reliability — will encourage the uptake of renewables. That’s a win for everybody.
Making AlphaFold simpler to make use of with Vertex AI
The event of a brand new machine studying mannequin entails many levels — from design to deployment. It additionally wants good knowledge infrastructure. To help knowledge scientists and companies, Google Cloud constructed Vertex AI, a single platform to entry machine studying instruments for each step of the event journey.
After releasing our breakthrough AlphaFold system, which precisely predicts the 3D construction of proteins, we made it obtainable on Vertex AI. Now, scientists working in areas as various as drug discovery or preventing plastic air pollution, can run the AlphaFold prediction workflow extra simply by monitoring experiments, optimizing {hardware} choice — and managing all of it at scale.
In 2022, we additionally expanded the AlphaFold Protein Construction Database to incorporate almost all cataloged proteins identified to science. We’ve partnered with Google Cloud to host this big database, providing greater than 200 million proteins for bulk obtain. Billions of buildings have already been downloaded and the database shortly grew to become a necessary device for the scientific neighborhood, catalyzing a brand new wave of progress in biology.
