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 …

AI generated thirst traps are rampant on Reddit

I’ve seen several fake posts like this one in the last couple of days. What do you think can be done to prevent this? Some people might do this as some sort of fantasy role play, but I’m sure others are trying to part thirsty men from their cash. Thoughts? submitted by /u/Unluckiestfool [link] [comments]

Image Vector Representation for Machine Learning Using OpenCV

One of the pre-processing steps that are often carried out on images before feeding them into a machine learning algorithm is to convert them into a feature vector. As we will see in this tutorial, there are several advantages to converting an image into a feature vector that makes the latter more efficient.  Among the …

Q*

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 …