​ Amazon Personalize is excited to announce the new Trending-Now recipe to help you recommend items gaining popularity at the fastest pace among your users. Amazon Personalize is a fully managed machine learning (ML) service that makes it easy for developers to deliver personalized experiences… Read More »Recommend top trending items to your users using the new Amazon Personalize recipe Vamshi Krishna Enabothala AWS Machine Learning Blog

​ In football, ball possession is a strong predictor for team success. It’s hard to control the game without having control over the ball. In the past three Bundesliga seasons, as well as in the current season (at the time of this writing), Bayern Munich… Read More »Bundesliga Match Fact Ball Recovery Time: Quantifying teams’ success in pressing opponents on AWS Javier Poveda-Panter AWS Machine Learning Blog

​ The Bundesliga is renowned for its exceptional goalkeepers, making it potentially the most prominent among Europe’s top five leagues in this regard. Apart from the widely recognized Manuel Neuer, the Bundesliga has produced remarkable goalkeepers who have excelled in other leagues, including the likes… Read More »Bundesliga Match Fact Keeper Efficiency: Comparing keepers’ performances objectively using machine learning on AWS Javier Poveda-Panter AWS Machine Learning Blog

​ OpenFlamingo is an open-source framework that aims to democratize access to state-of-the-art Large Multimodal Models (LMMs) by providing a system capable of handling various vision-language tasks. Developed as a reproduction of DeepMind’s Flamingo model, OpenFlamingo offers a Python framework to train Flamingo-style LMMs, a… Read More »Meet OpenFlamingo: A Framework for Training and Evaluating Large Multimodal Models (LMMs) Capable of Processing Images and Text Niharika Singh Artificial Intelligence Category – MarkTechPost

​Posted by Peter Mattson, Senior Staff Engineer, ML Performance, and Praveen Paritosh, Senior Research Scientist, Google Research, Brain Team Machine learning (ML) offers tremendous potential, from diagnosing cancer to engineering safe self-driving cars to amplifying human productivity. To realize this potential, however, organizations need ML… Read More »Data-centric ML benchmarking: Announcing DataPerf’s 2023 challenges Google AI Google AI Blog

​ Guest post by Joseph Hsieh (Principal Scientist, Project Lead at Adobe), Devin Fernandez (Director of Product Management, Adobe), and Jason Mayes (Web ML Lead, Google) Introduction Photoshop Web is a browser-based version of the popular desktop image editing software, Adobe Photoshop. This online tool… Read More »How Adobe used Web ML with TensorFlow.js to enhance Photoshop for web noreply@blogger.com (TensorFlow Blog) The TensorFlow Blog

​ Regularization is a technique in machine learning that is used to prevent overfitting and improve the generalization performance of a model. Overfitting occurs when a model learns the noise in the training data rather than the underlying pattern or relationship between the input and… Read More »Regularization in Machine Learning Narender Kumar Spark By {Examples}

​ If you want a gentle introduction to machine learning for computer vision, you’re in the right spot. Here at PyImageSearch we’ve been helping people just like you master deep learning for computer vision. Also, you might want to check out our computer vision for… Read More »Machine Learning Computer Vision Jon Haase PyImageSearch

​ OpenAI launched ChatGPT in December 2022, immediately inspiring people and companies to pioneer novel use cases for large language models. It’s no wonder that ChatGPT reached 1 million users within a week of launch and 100 million users within two months, making it the… Read More »What’s new in Azure Data & AI: Azure is built for generative AI apps Jessica Hawk Microsoft Azure Blog > Machine Learning

​ Up to a trillion text tokens are used n the training of language models (LMs). This increases performance on several jobs but comes at a high cost because thousands of GPUs must be active once to update all parameters at each step. By splitting… Read More »A New AI Research Introduces Cluster-Branch-Train-Merge (CBTM): A Simple But Effective Method For Scaling Expert Language Models With Unsupervised Domain Discovery Aneesh Tickoo Artificial Intelligence Category – MarkTechPost