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LLM and GNN: How to Improve Reasoning of Both AI Systems on Graph Data | by Anthony Alcaraz | Dec, 2023

Data ScienceDecember 4, 2023132Views 0Likes 0Comments

Graph neural networks (GNNs) and large language models (LLMs) have emerged as two major branches of artificial intelligence, achieving immense success in learning from graph-structured and natural language data respectively. As graph-structured and natural language data become increasingly interconnected in real-world applications, there is a growing need for artificial intelligence systems that can perform multi-modal…

What is Account Reconciliation?

NanonetsDecember 4, 2023124Views 0Likes 0Comments

You’ve likely heard the phrase, “measure twice, cut once.” Reconciling your balance sheet follows the same logic, but in reverse – spend once, check twice. Double-entry bookkeeping is built on a foundation of checks and balances, requiring the assets side to match the liabilities and shareholder’s equity side. Account reconciliation is one of many methods…

Create Stunning Data Viz in Seconds with ChatGPT

Data AnalyticsDecember 4, 2023125Views 0Likes 0Comments

Image by Author Data visualization is a crucial skill for anyone working with data. But creating beautiful, informative data viz can be time-consuming and require specialized tools. That's where ChatGPT comes in. With its latest updates, ChatGPT makes data visualization faster and easier than ever before. The latest update has improved the ChatGPT…

Meet SceneTex: A Novel AI Method for High-Quality, Style-Consistent Texture Generation in Indoor Scenes

AI NewsDecember 4, 2023142Views 0Likes 0Comments

High-quality 3D content synthesis is a crucial yet challenging problem for many applications, such as autonomous driving, robotic simulation, gaming, filmmaking, and future VR/AR situations. The topic of 3D geometry generation has seen a surge in research interest from the computer vision and graphics community due to the availability of more and more 3D content…

RoboCat: A self-improving robotic agent

OpenAIDecember 4, 2023132Views 0Likes 0Comments

Research Published …

Courage to Learn ML: Decoding Likelihood, MLE, and MAP | by Amy Ma | Dec, 2023

Data ScienceDecember 4, 2023121Views 0Likes 0Comments

With A Tail of Cat Food Preferences Photo by Anastasiia Rozumna on UnsplashWelcome to the ‘Courage to learn ML’. This series aims to simplify complex machine learning concepts, presenting them as a relaxed and informative dialogue, much like the engaging style of “The Courage to Be Disliked,” but with a focus on ML. In this…

Back to Basics Week 4: Advanced Topics and Deployment

Data AnalyticsDecember 3, 2023115Views 0Likes 0Comments

Image by Author Join KDnuggets with our Back to Basics pathway to get you kickstarted with a new career or a brush up on your data science skills. The Back to Basics pathway is split up into 4 weeks with a bonus week. We hope you can use these blogs as a course…

Breaking the Boundaries in 3D Scene Representation: How a New AI Technique is Changing the Game with Faster, More Efficient Rendering and Reduced Storage Demands

AI NewsDecember 3, 202399Views 0Likes 0Comments

NeRF represents scenes as continuous 3D volumes. Instead of discrete 3D meshes or point clouds, it defines a function that calculates color and density values for any 3D point within the scene. By training the neural network on multiple scene images captured from different viewpoints, NeRF learns to generate consistent and accurate representations that align…

Exploring institutions for global AI governance

OpenAIDecember 3, 2023131Views 0Likes 0Comments

New white paper investigates models and functions of international institutions that could help manage opportunities and mitigate risks of advanced AI Growing awareness of the global impact of advanced artificial intelligence (AI) has inspired public discussions about the need for international governance structures to help manage opportunities and mitigate risks involved. Many discussions have drawn…

Researchers from NYU and Meta Introduce Dobb-E: An Open-Source and General Framework for Learning Household Robotic Manipulation

RoboticsDecember 3, 2023176Views 0Likes 0Comments

The team of researchers from NYU and Meta aimed to address the challenge of robotic manipulation learning in domestic environments by introducing DobbE, a highly adaptable system capable of learning and adapting from user demonstrations. The experiments demonstrated the system’s efficiency while highlighting the unique challenges in real-world settings. The study recognizes recent strides in…