NeILF++: Inter-Reflectable Light Fields for Geometry and Material Estimation

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We present a novel differentiable rendering framework for joint geometry, material, and lighting estimation from multi-view images. In contrast to previous methods which assume a simplified environment map or co-located flashlights, in this work, we formulate the lighting of a static scene as one neural incident light field (NeILF) and one outgoing neural radiance field …

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The next wave of payments modernization: Minimizing complexity to elevate customer experience

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The payments ecosystem is at an inflection point for transformation, especially as we see the rise of disruptive digital entrants who are introducing new payment methods, such as cryptocurrency and central bank digital currencies (CDBC). With more choices for customers, capturing share of wallet is becoming more competitive for traditional banks. This is just one …

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Orchestrate Ray-based machine learning workflows using Amazon SageMaker

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Machine learning (ML) is becoming increasingly complex as customers try to solve more and more challenging problems. This complexity often leads to the need for distributed ML, where multiple machines are used to train a single model. Although this enables parallelization of tasks across multiple nodes, leading to accelerated training times, enhanced scalability, and improved …

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Ray Shines With NVIDIA AI: Anyscale Collaboration to Help Developers Build, Tune, Train and Scale Production LLMs

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Large language model development is about to reach supersonic speed thanks to a collaboration between NVIDIA and Anyscale. At its annual Ray Summit developers conference, Anyscale — the company behind the fast growing open-source unified compute framework for scalable computing —  announced today that it is bringing NVIDIA AI to Ray open source and the …

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AI system found to outperform humans in creating urban planning designs

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A team of urban planners and information scientists at Tsinghua University in China has found that an AI-based urban planning system was able to outperform human experts in creating urban planning designs. In their study, reported in the journal Nature Computational Science, the group describes the factors that were used in describing the ideal urban …

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