Month: December 2024

Building a multimodal retrieval augmented generation (RAG) system is challenging. The difficulty comes from capturing and indexing information from across…

Building a multimodal retrieval augmented generation (RAG) system is challenging. The difficulty comes from capturing and indexing information from across multiple modalities, including text, images, tables, audio, video, and more. In our previous post, An Easy Introduction to Multimodal Retrieval-Augmented Generation, we discussed how to tackle text and images. This post extends this conversation…

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With the latest release of Warp 1.5.0, developers now have access to new tile-based programming primitives in Python. Leveraging cuBLASDx and cuFFTDx, these new…

With the latest release of Warp 1.5.0, developers now have access to new tile-based programming primitives in Python. Leveraging cuBLASDx and cuFFTDx, these new tools provide developers with efficient matrix multiplication and Fourier transforms in Python kernels for accelerated simulation and scientific computing. In this blog post, we’ll introduce these new features and show how they can be used…

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Meshes are one of the most important and widely used representations of 3D assets. They are the default standard in the film, design, and gaming industries and…

Meshes are one of the most important and widely used representations of 3D assets. They are the default standard in the film, design, and gaming industries and they are natively supported by virtually all the 3D softwares and graphics hardwares. A 3D mesh can be considered as a collection of polygon faces, most commonly consisting of triangles or quadrilaterals.

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Join the live webinar to learn practical exam preparation tips, and get your questions answered by NVIDIA recruiters on taking advantage of certifications for…

Join the live webinar to learn practical exam preparation tips, and get your questions answered by NVIDIA recruiters on taking advantage of certifications for your career.

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The advent of AI has introduced a new type of data center, the AI factory, purpose-built from the ground up to handle AI workloads. AI workloads can…

The advent of AI has introduced a new type of data center, the AI factory, purpose-built from the ground up to handle AI workloads. AI workloads can significantly vary in scope and scale, but in every case, the network is key to ensuring high performance and faster time to value. To accelerate time to AI and offer enhanced return on investment, NVIDIA Air enables organizations to build…

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As global electricity demand continues to rise, traditional sources of energy are increasingly unsustainable. Energy providers are facing pressure to reduce…

As global electricity demand continues to rise, traditional sources of energy are increasingly unsustainable. Energy providers are facing pressure to reduce reliance on fossil fuels while ensuring a fully supplied and stable grid. In this context, solar energy has emerged as a vital renewable resource, being one of the most abundant clean energy sources available. However…

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Researchers from Weill Cornell Medicine have developed an AI-powered model that could help couples undergoing in vitro fertilization (IVF) and guide…

Researchers from Weill Cornell Medicine have developed an AI-powered model that could help couples undergoing in vitro fertilization (IVF) and guide embryologists in selecting healthy embryos for implantation. Recently published in Nature Communications, the study presents the Blastocyst Evaluation Learning Algorithm (BELA). This state-of-the-art deep learning model evaluates embryo quality and…

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WEKA, a pioneer in scalable software-defined data platforms, and NVIDIA are collaborating to unite WEKA’s state-of-the-art data platform solutions with powerful…

WEKA, a pioneer in scalable software-defined data platforms, and NVIDIA are collaborating to unite WEKA’s state-of-the-art data platform solutions with powerful NVIDIA BlueField DPUs. The WEKA Data Platform advanced storage software unlocks the full potential of AI and performance-intensive workloads, while NVIDIA BlueField DPUs revolutionize data access, movement, and security.

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Modern classification workflows often require classifying individual records and data points into multiple categories instead of just assigning a single label….

Modern classification workflows often require classifying individual records and data points into multiple categories instead of just assigning a single label. Open-source Python libraries like scikit-learn make it easier to build models for these multi-label problems. Several models have built-in support for multi-label datasets, and a simple scikit-learn utility function enables using those…

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