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What is Account Reconciliation?

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…

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

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…

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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

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…

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Exploring institutions for global AI governance

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…

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

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…

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On Data-Driven Equation Discovery | by George Miloshevich | Dec, 2023

Photo by ThisisEngineering RAEng on UnsplashDescribing the nature with the help of analytical expressions verified through experiments has been a hallmark of the success of science especially in physics from fundamental law of gravitation to quantum mechanics and beyond. As challenges such as climate change, fusion, and computational biology pivot our focus toward more compute,…

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