Causal Machine Learning for Creative Insights

A framework to identify the causal impact of successful visual components. By Billur Engin, Yinghong Lan, Grace Tang, Cristina Segalin, Kelli Griggs, Vi Iyengar Introduction At Netflix, we want our viewers to easily find TV shows and movies that resonate and engage. Our creative team helps make this happen by designing promotional artwork that best represents …

Application modernization overview

Application modernization is the process of updating legacy applications leveraging modern technologies, enhancing performance and making it adaptable to evolving business speeds by infusing cloud native principles like DevOps, Infrastructure-as-code (IAC) and so on. Application modernization starts with assessment of current legacy applications, data and infrastructure and applying the right modernization strategy (rehost, re-platform, refactor …

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Accelerating AI/ML development at BMW Group with Amazon SageMaker Studio

This post is co-written with Marc Neumann, Amor Steinberg and Marinus Krommenhoek from BMW Group. The BMW Group – headquartered in Munich, Germany – is driven by 149,000 employees worldwide and manufactures in over 30 production and assembly facilities across 15 countries. Today, the BMW Group is the world’s leading manufacturer of premium automobiles and …

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Q-Star: OpenAI’s Exploration of Q-Learning in Pursuit of Artificial General Intelligence (AGI) This article is based on a Reuters news article from 2023-11-22 titled OpenAI Researchers Warned Board of AI Breakthrough Ahead of CEO Ouster Q-learning, a cornerstone in artificial intelligence, is integral to reinforcement learning. This model-free algorithm aims to discern the value of …

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Improving simulations of clouds and their effects on climate

Posted by Tapio Schneider, Visiting Researcher, and Yi-fan Chen, Engineering Lead, Google Research Today’s climate models successfully capture broad global warming trends. However, because of uncertainties about processes that are small in scale yet globally important, such as clouds and ocean turbulence, these models’ predictions of upcoming climate changes are not very accurate in detail. …

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Building with Palantir AIP: Semantic Search

https://medium.com/media/0254ccf83cea026c178db2df184c0d42/href By Chad Wahlquist, Palantir Forward Deployed Architect Welcome! This is the first “cooking show”-style video in the Building with Palantir AIP series, where Palantir engineers and architects will take you through how to build end-to-end workflows using Palantir’s AI Platform. This first installment demonstrates how AIP enables developers to go from unstructured data to …

Winning the cloud game: Phoning the right friend to answer the cloud optimization question

Cloud optimization is essential as organizations look to accelerate business outcomes and unlock the value of their data. At its core, cloud optimization is the process of correctly selecting and assigning the right resources to a workload or application. But cloud optimization is also a lifecycle process that balances performance, compliance and cost to achieve efficiency. …

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Improving simulations of clouds and their effects on climate

Posted by Tapio Schneider, Visiting Researcher, and Yi-fan Chen, Engineering Lead, Google Research Today’s climate models successfully capture broad global warming trends. However, because of uncertainties about processes that are small in scale yet globally important, such as clouds and ocean turbulence, these models’ predictions of upcoming climate changes are not very accurate in detail. …

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Amazon EC2 DL2q instance for cost-efficient, high-performance AI inference is now generally available

This is a guest post by A.K Roy from Qualcomm AI. Amazon Elastic Compute Cloud (Amazon EC2) DL2q instances, powered by Qualcomm AI 100 Standard accelerators, can be used to cost-efficiently deploy deep learning (DL) workloads in the cloud. They can also be used to develop and validate performance and accuracy of DL workloads that …

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Open sourcing Project Guideline: A platform for computer vision accessibility technology

Posted by Dave Hawkey, Software Engineer, Google Research Two years ago we announced Project Guideline, a collaboration between Google Research and Guiding Eyes for the Blind that enabled people with visual impairments (e.g., blindness and low-vision) to walk, jog, and run independently. Using only a Google Pixel phone and headphones, Project Guideline leverages on-device machine …