TL;DR — We invite startups developing AI models, infrastructure, or applications in Europe and Israel to apply for the new Google for Startups Accelerator: AI First program. Google Cloud is committed to partnering with startups to innovate responsibly with AI and reach its full potential, especially teams leveraging tech to solve some of the world’s …
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The world increasingly runs on code. Accelerating the work of those who create that code will boost their productivity — and that’s just what AI startup Codeium, a member of NVIDIA’s Inception program for startups, aims to do. On the latest episode of NVIDIA’s AI Podcast, host Noah Kravitz interviewed Codeium founder and CEO Varun …
DevOps, SRE, Platform, ITOps and Developer teams are all under pressure to keep applications performant while operating faster and smarter than ever. One area that has seen significant advancements in recent years is observability. It has revolutionized the way IT teams approach incident prevention. Some outdated concepts persist, however, that limit the productivity and …
With recent advancements in generative AI, there are lot of discussions happening on how to use generative AI across different industries to solve specific business problems. Generative AI is a type of AI that can create new content and ideas, including conversations, stories, images, videos, and music. It is all backed by very large models …
Data is the lifeblood of any machine learning application. To make more accurate predictions, ML models need access to high-quality data signals, commonly referred to as ML features. These ML features are usually characterized by refined data with high signal value that incorporate all the latest information available to an organization. Tecton on Google Cloud …
Read more “Announcing Tecton on Google Cloud: Accelerate the development of ML-powered applications”
NVIDIA DGX Cloud — which delivers tools that can turn nearly any company into an AI company — is now broadly available, with thousands of NVIDIA GPUs online on Oracle Cloud Infrastructure, as well as NVIDIA infrastructure located in the U.S. and U.K. Unveiled at NVIDIA’s GTC conference in March, DGX Cloud is an AI …
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The mechanisms behind the success of multi-view self-supervised learning (MVSSL) are not yet fully understood. Contrastive MVSSL methods have been studied though the lens of InfoNCE, a lower bound of the Mutual Information (MI). However, the relation between other MVSSL methods and MI remains unclear. We consider a different lower bound on the MI consisting …
Read more “The Role of Entropy and Reconstruction for Multi-View Self-Supervised Learning”
The complexity of IT systems has increased significantly in recent years, creating a greater urgency for IT teams to stay on top of the health of operations. An increase in devices connecting to individual applications, the rise of cloud computing and the development of new products have led companies to invest in digital services to …
This blog post was co-authored, and includes an introduction, by Zilong Bai, senior natural language processing engineer at Patsnap. You’re likely familiar with the autocomplete suggestion feature when you search for something on Google or Amazon. Although the search terms in these scenarios are pretty common keywords or expressions that we use in daily life, …
Read more “How Patsnap used GPT-2 inference on Amazon SageMaker with low latency and cost”
Posted by Cat Armato, Program Manager, Google Groups across Google actively pursue research in the field of machine learning (ML), ranging from theory and application. We build ML systems to solve deep scientific and engineering challenges in areas of language, music, visual processing, algorithm development, and more. We aim to build a more collaborative ecosystem …