Bring AI to Looker with the Machine Learning Accelerator
Machine learning opens up opportunities to get more value out of data, and business users are eager to see that value. However, today’s machine learning experts are facing a lot of requests and their expertise is at a premium. What if data analysts had the…
Twitter: Helping customers find meaningful Spaces with AutoML
Editor’s note: Since launching its Spaces feature, Twitter has demonstrated that hearing people’s voices can bring conversations on Twitter to life in a completely new way. Next, it aimed to make it easier for customers to join and listen to live conversations they personally care…
Running AlphaFold batch inference with Vertex AI Pipelines
Today, to accelerate research in the bio-pharma space, from the creation of treatments for diseases to the production of new synthetic biomaterials, Google are announcing a new Vertex AI solution that demonstrates how to use Vertex AI Pipelines to run DeepMind’s AlphaFold protein structure predictions at scale. Once a protein’s structure…
Making AI more accessible for every business
Alphabet CEO Sundar Pichai has compared the potential impact of artificial intelligence (AI) to the impact of electricity—so it may be no surprise that at Google Cloud, they expect to see increased AI and machine learning (ML) momentum across the spectrum of users and use cases. Some…
Building AI in the cloud: An easier way with Google Cloud and NVIDIA
NVIDIA GPU-powered instances on Google Cloud provide an optimal platform for organizations to develop their AI applications on the latest hardware and software stack, then seamlessly deploy those applications at scale in production. Simplifying Workflows to Speedup AI Developments NVIDIA recently announced the One Click…
Automate annotations for Vertex AI text datasets with Cloud Vision API and BigQuery
One of the main challenges machine learning practitioners face is the availability of annotated training datasets or a lack thereof. In many cases, practitioners may have access to existing datasets that have been manually extracted, which they can use to accelerate their model training. Through…
Forrester names Google Cloud a leader in Document Analytics Platforms
At Google, the mission is to organize the world’s information and make it universally accessible and useful. For the Document AI solutions suite, as well as the Vertex AI platform atop which Document AI is built, achieving this goal involves building capabilities to extract structured…
Google Cloud launches new models for more accurate Speech AI
With voice continuing to emerge as the new frontier in human-computer interaction, many enterprises may seek to level up their technology and present consumers with speech recognition systems that more reliably and accurately recognize what their users are saying. Think about it: higher speech recognition…
From insights to robots, Speech AI use cases have exploded
It’s been five years since Google launched the Google Cloud Speech-to-Text (STT) API, and they’re awed by the things their customers have done. From powering voice-controlled apps to generating captions for videos, the API processes more than 1 billion minutes of spoken language each month—enough to transcribe the…
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Recent Posts
- Dataproc Serverless: Now faster, easier and smarter
- Tips and tricks for project management with Google Workspace
- Doubling calculation speed and other new innovations in Google Sheets
- Continued growth and success in the competitive logistics market
- How to get started with new Gemini model capabilities for Places API
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