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Accelerate Amazon SageMaker inference with C6i Intel-based Amazon EC2 instances

This is a guest post co-written with Antony Vance from Intel. Customers are always looking for ways to improve the performance and response times of their machine learning (ML) inference workloads without increasing the cost per transaction and without sacrificing the accuracy of the results. Running ML workloads on Amazon SageMaker running Amazon Elastic Compute …

Mr. Cooper is improving the home-buyer experience with AI and ML

As one of the largest home loan servicers in the country, Mr. Cooper has been helping people with homeownership since 1994. Believing that the process could be streamlined, we saw an opportunity to revolutionize the way people bought their dream homes, starting with transforming paper-based processes. And we believed that digitizing and automating as much …

ChatGPT: The Technicalities behind the Rising Star of Conversational AI

As pioneers in adopting ChatGPT technology in Malaysia, XIMNET dives in to take a look how far back does Conversational AI go? Photo by Milad Fakurian on Unsplash Conversational AI has been around for some time, and one of the noteworthy early breakthroughs was when ELIZA, the first chatbot, was constructed in 1966. Pattern matching and substitution …

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Vid2Seq: a pretrained visual language model for describing multi-event videos

Posted by Antoine Yang, Student Researcher, and Arsha Nagrani, Research Scientist, Google Research, Perception team Videos have become an increasingly important part of our daily lives, spanning fields such as entertainment, education, and communication. Understanding the content of videos, however, is a challenging task as videos often contain multiple events occurring at different time scales. …

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Intelligently search your organization’s Microsoft Teams data source with the Amazon Kendra connector for Microsoft Teams

Organizations use messaging platforms like Microsoft Teams to bring the right people together to securely communicate with each other and collaborate to get work done. Microsoft Teams captures invaluable organizational knowledge in the form of the information that flows through it as users collaborate. However, making this knowledge easily and securely available to users can …

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Early-bird registration for Google Cloud Next ‘23 is open now

San Francisco, here we come. Starting today, you can now register at the Early Bird rate of $899 USD* for Google Cloud Next ‘23, taking place in person, August 29-31, 2023. This year’s Next conference comes at an exciting time. The emergence of generative AI is a transformational opportunity that some say may be as …

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ChatGPT, Bard, and other AI showcases: how Conversational AI platforms have adopted new…

ChatGPT, Bard, and other AI showcases: how Conversational AI platforms have adopted new technologies. On November 30, 2022, OpenAI, a San Francisco-based AI research and deployment firm, introduced ChatGPT as a research preview. Within just five days of its launch, ChatGPT achieved the remarkable feat of attracting 1 million users, which was confirmed by OpenAI’s …

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Metadata Management for Data Protection

It is often said that a picture is worth a thousand words — when it comes to describing data however, metadata can sometimes be those thousand words. Metadata is the characteristics that describe data itself, from when data was last updated, to what the attributes and classification are — the list goes on. In this blog post, we explore why …

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Responsible AI at Google Research: The Impact Lab

Posted by Jamila Smith-Loud, Human Rights & Social Impact Research Lead, Google Research, Responsible AI and Human-Centered Technology Team Globalized technology has the potential to create large-scale societal impact, and having a grounded research approach rooted in existing international human and civil rights standards is a critical component to assuring responsible and ethical AI development …

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Coop reduces food waste by forecasting with Google’s AI and Data Cloud

Although Coop has a rich history spanning nearly 160 years, the machine learning (ML) team supporting its modern operations is quite young. Its story began in 2018 with one simple mission: to leverage ML-powered forecasting to help inform business decisions, such as demand planning based on supply chain seasonality and expected customer demand. The end …