Posted by Florian Hartmann, Software Engineer, and Peter Kairouz, Research Scientist, Google Research Federated learning is a distributed way of training machine learning (ML) models where data is locally processed and only focused model updates and metrics that are intended for immediate aggregation are shared… Read More »Distributed differential privacy for federated learning Google AI Google AI Blog
Financial market participants are faced with an overload of information that influences their decisions, and sentiment analysis stands out as a useful tool to help separate out the relevant and meaningful facts and figures. However, the same piece of news can have a positive… Read More »Accelerate hyperparameter grid search for sentiment analysis with BERT models using Weights & Biases, Amazon EKS, and TorchElastic Ankur Srivastava AWS Machine Learning Blog
Amazon Kendra is an easy-to-use intelligent search service that allows you to integrate search capabilities with your applications so users can find information stored across data sources like Amazon Simple Storage Service , OneDrive and Google Drive; applications such as SalesForce, SharePoint and Service Now;… Read More »Search for answers accurately using Amazon Kendra S3 Connector with VPC support Maran Chandrasekaran AWS Machine Learning Blog
As deep learning models grow in size and complexity, it becomes more difficult to articulate why and how they arrive at a given result. There are several different directions that researchers are exploring to improve the interpretability of AI systems. Attempts at mechanistic interpretability… Read More »Deepmind Open Sources Tracr: A Tool for Compiling Human-Readable Code to the Weights of a Transformer Model Tanushree Shenwai Artificial Intelligence Category – MarkTechPost
Neural rendering is a cutting-edge technology that uses artificial intelligence and deep learning to create photorealistic images and animations. Unlike traditional rendering techniques that rely on mathematical models, neural rendering algorithms learn to replicate the complex interactions between light and materials in the real… Read More »A New Artificial Intelligence (AI) Study From CMU and Meta Proposes a Framework for Efficient Neural Relighting of Articulated Hand Models Daniele Lorenzi Artificial Intelligence Category – MarkTechPost
Python How to read a file line-by-line into a list? There are several different methods you can use to read a file line-by-line into a list in Python. In this article, we will use the readlines() method, using a for loop, using list comprehension,… Read More »Python Read a File line-by-line into a List? AlixaProDev Spark By {Examples}
PyTorch is a deep learning library. You can build very sophisticated deep learning models with PyTorch. However, there are times you want to have a graphical representation of your model architecture. In this post, you will learn: How to save your PyTorch model in… Read More »Visualizing a PyTorch Model Adrian Tam MachineLearningMastery.com
Rapid advancements in generative AI technologies have led to a surge of interest and progress in code generation applications. These technologies use machine learning algorithms and natural language processing to assist developers in automating the time-consuming and laborious portions of coding. They help developers… Read More »Top Generative AI Tools in Code Generation/Coding (2023) Mansi Rawat Artificial Intelligence Category – MarkTechPost
Due to its impact on human life worldwide, weather forecasting has drawn the interest of several researchers from various research communities. Many studies have been motivated to explore hidden hierarchical patterns in the large volume of weather datasets for weather forecasting due to the… Read More »A Study on Various Deep Learning-based Weather Forecasting Models Tanushree Shenwai Artificial Intelligence Category – MarkTechPost
Revolutionary advances in machine learning (ML) algorithms have empowered many AI-powered applications in various industries, such as e-commerce, finance, manufacturing, and medicine. However, developing real-world ML systems in complex data settings can be challenging, as shown by numerous high-profile failures due to biases in… Read More »Cambridge and UCLA Researchers Introduce DC-Check: a new Data-Centric AI Checklist-Style Framework to Guide the Development of Reliable Machine Learning Systems Asif Razzaq Artificial Intelligence Category – MarkTechPost