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Cell Imaging Feature Extraction and Morphology Clustering for Spatial Omics

Live cell image showing cell segmentations.VISTA-2D is a new foundational model from NVIDIA that can quickly and accurately perform cell segmentation, a fundamental task in cell imaging and spatial omics…Live cell image showing cell segmentations.

VISTA-2D is a new foundational model from NVIDIA that can quickly and accurately perform cell segmentation, a fundamental task in cell imaging and spatial omics workflows that is critical to the accuracy of all downstream tasks. The VISTA-2D model uses an image encoder to create image embeddings, which it can then turn into segmentation masks (Figure 1). The embeddings must contain…

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Researchers Use AI to Resurrect Extinct DNA for Fighting Pathogens 

A woolly mammoth and segments of DNA.Researchers using AI are mining the DNA of long-extinct species like woolly mammoths and giant sloths, looking for ancient genomic secrets to help fight…A woolly mammoth and segments of DNA.

Researchers using AI are mining the DNA of long-extinct species like woolly mammoths and giant sloths, looking for ancient genomic secrets to help fight today’s most infectious pathogens. Every year, more than 1.25M people worldwide die from infections immune to drugs like antibiotics, according to the World Health Organization (WHO). By 2050, that number could rise to 10M people. And…

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Revolutionizing Code Completion with Codestral Mamba, the Next-Gen Coding LLM

In the rapidly evolving field of generative AI, coding models have become indispensable tools for developers, enhancing productivity and precision in software…

In the rapidly evolving field of generative AI, coding models have become indispensable tools for developers, enhancing productivity and precision in software development. They provide significant benefits by automating complex tasks, enhancing scalability, and fostering innovation, making them invaluable tools in modern software development. This post explores the benefits of Codestral Mamba…

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Developing Product Configurators with OpenUSD

Collage of four photos of a car with different colors and roof storage.Developers from advertising agencies to software vendors are empowering global brands to deliver hyperpersonalization for digital experiences and visual…Collage of four photos of a car with different colors and roof storage.

Developers from advertising agencies to software vendors are empowering global brands to deliver hyperpersonalization for digital experiences and visual storytelling with product configurator solutions. Integrating NVIDIA Omniverse with OpenUSD and generative AI into product configurators enables solution providers and software developers to deliver interactive, ray-traced…

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How Georgia Tech’s AI Makerspace Is Preparing the Future Workforce for AI

AI is set to transform the workforce — and the Georgia Institute of Technology’s new AI Makerspace is helping tens of thousands of students get ahead of the curve. In this episode of NVIDIA’s AI Podcast, host Noah Kravitz speaks with Arijit Raychowdhury, a professor and Steve W. Cedex school chair of electrical engineering at
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Demystifying AI-Assisted Artistry With Adobe Apps Using NVIDIA RTX

Adobe Creative Cloud applications, which tap NVIDIA RTX GPUs, are designed to enhance the creativity of users, empowering them to work faster and focus on their craft.

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Accelerate AI Infrastructure Using an NVIDIA Bluefield-3 DPU Integration with DDN Storage

Decorative image of a car driving at night with light streaks.As AI becomes integral to organizational innovation and competitive advantage, the need for efficient and scalable infrastructure is more critical than ever. A…Decorative image of a car driving at night with light streaks.

As AI becomes integral to organizational innovation and competitive advantage, the need for efficient and scalable infrastructure is more critical than ever. A partnership between NVIDIA and DDN Storage is setting new standards in this area. By integrating NVIDIA BlueField DPUs into DDN EXAScaler and DDN Infinia and using them innovatively, DDN Storage is transforming data-centric workloads.

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Supercharging Llama 3.1 across NVIDIA Platforms

Decorative image of a llama in cool sunglasses against a sunny landscape.Meta’s Llama collection of large language models are the most popular foundation models in the open-source community today, supporting a variety of use cases….Decorative image of a llama in cool sunglasses against a sunny landscape.

Meta’s Llama collection of large language models are the most popular foundation models in the open-source community today, supporting a variety of use cases. Millions of developers worldwide are building derivative models, and are integrating these into their applications. With Llama 3.1, Meta is launching a suite of large language models (LLMs) as well as a suite of trust and safety models…

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Develop Production-Grade Text Retrieval Pipelines for RAG with NVIDIA NeMo Retriever 

An illustration representing text retrieval pipelines for RAG.Enterprises are sitting on a goldmine of data waiting to be used to improve efficiency, save money, and ultimately enable higher productivity. With generative…An illustration representing text retrieval pipelines for RAG.

Enterprises are sitting on a goldmine of data waiting to be used to improve efficiency, save money, and ultimately enable higher productivity. With generative AI, developers can build and deploy an agentic flow or a retrieval-augmented generation (RAG) chatbot, while ensuring the insights provided are based on the most accurate and up-to-date information. Building these solutions requires not…

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Build an Agentic RAG Pipeline with Llama 3.1 and NVIDIA NeMo Retriever NIMs

An illustrations representing agnetic RAG.Employing retrieval-augmented generation (RAG) is an effective strategy for ensuring large language model (LLM) responses are up-to-date and not…An illustrations representing agnetic RAG.

Employing retrieval-augmented generation (RAG) is an effective strategy for ensuring large language model (LLM) responses are up-to-date and not hallucinated. While various retrieval strategies can improve the recall of documents for generation, there is no one-size-fits-all approach. The retrieval pipeline depends on your data, from hyperparameters like the chunk size…

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