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Text-to-image diffusion models represent an intriguing field in artificial intelligence research. They aim to create lifelike images based on textual descriptions utilizing diffusion models. The process involves iteratively generating samples from a basic distribution, gradually transforming...
Advancements in Artificial Intelligence (AI) and Deep Learning have brought a great transformation in the way humans interact with computers. With the introduction of diffusion models, generative modeling has shown remarkable capabilities in various applications, including...

Latest AI Research From CMU and LinkedIn Explains Long-term Dynamics of Fairness Intervention in Connection Recommender Systems

Nowadays, several social networking sites heavily rely on connection recommendations. Surveys reveal that connection suggestions may make up more than 50% of the social...

LinkedIn Open-Sources ‘Feathr’, It’s Feature Store To Simplify Machine Learning (ML) Feature Management And Improve Developer Productivity

This article summary is based on the LinkedIn's research article: 'Open sourcing Feathr – LinkedIn’s feature store for productive machine learning' Please don't forget...

LinkedIn Engineering Team Develops ‘Opal’ to Ingest Mutable Data and Build Mutable Dataset on Top of the Immutable File System 

This article is based on the research article from Linkedin Engineering 'Opal: Building a mutable dataset in data lake' Trusted data platforms and high-quality data...

LinkedIn Researchers Open-Source ‘FastTreeSHAP’: A Python Package That Enables An Efficient Interpretation of Tree-Based Machine Learning Models

Researchers from LinkedIn open-source the FastTreeSHAP package which is a Python module based on the paper 'Fast TreeSHAP: Accelerating SHAP Value Computation for Trees.'...

Researchers From CMU and LinkedIn Open-Sources The Implementation of PASS (Performance-Adaptive Sampling Strategy) For Deep Learning

Understanding the relationships between entity sets maintained in a database is critical. In this context, an entity is an object or a data component. Entity...

Latest LinkedIn AI Research on Using Bayesian Optimization for Balancing Metrics in Recommendation Systems

The majority of large-scale recommender systems, such as newsfeed ranking, people recommendations, job recommendations, and so on, have many objectives that must be optimized...

LinkedIn Introduces DARWIN: A Unified “One-Stop” Data Science and Artificial Intelligence Platform That Would Centralize And Serve The Various Needs Of Data Scientists And...

LinkedIn is the world's largest professional network, producing enormous amounts of high-quality data. Data scientists and AI developers have been using various tools to...

LinkedIn Formulates Entity Inference As An Inference Problem Using Graph Neural Networks

LinkedIn allows its users to add information about themselves to their profiles, such as their career history, education, abilities, to name a few. They...

LinkedIn Open-Sources ‘Greykite’, A Time Series Forecasting Library

LinkedIn recently opened-sourced Greykite, a Python library originally built for LinkedIn’s forecasting needs. Greykite’s main algorithm is Silverkite, which delivers automated forecasting, which LinkedIn uses...

LinkedIn Releases Dagli, An Open Source Machine Learning Library For Java

While machine learning development is increasing every day, a survey from Algorithmia states that most enterprises spend between 8 to 90 days deploying an ML model....

LinkedIn Introduces Pensieve: An Embedding Feature Platform Using Supervised Deep Learning Techniques

The LinkedIn Talent Solutions and Careers team aims to build an efficient marketplace for job-seeking members and employers. LinkedIn achieves this by matching members...

LinkedIn Open-Sources GDMix: An AI Framework For Deep Ranking Personalization

LinkedIn open-sources Generalized Deep Mixed Model (GDMix), a framework that makes training of AI personalization models more efficient. It supports deep learning models and...

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