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Announcing Tecton on Google Cloud: Accelerate the development of ML-powered applications

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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 …

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NVIDIA DGX Cloud Now Available to Supercharge Generative AI Training

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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 Role of Entropy and Reconstruction for Multi-View Self-Supervised Learning

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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 …

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How Patsnap used GPT-2 inference on Amazon SageMaker with low latency and cost

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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, …

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Google at ICML 2023

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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 …

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Palantir’s Response to NTIA on AI Accountability Policy

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Recommendations for Context-Driven, Human-Centered Artificial Intelligence Policy Introduction As AI capabilities continue to capture the public imagination and become increasingly embedded in our lives, we face a growing need for technology accountability and policies that reinforce responsible development and use. Palantir is focused on providing software platforms that help to responsibly operationalize AI in its …

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