Jay Ma

🚀 Unlock the full potential of #AI, data science, and machine learning with #NVIDIARTX powered #AIWorkstations and the NVIDIA AI Workbench! Simplify setup, ensure portability, manage dependencies, and collaborate seamlessly. #RTX #AIWorkstation

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📣 Just announced: NVIDIA NIM Agent Blueprints to streamline #generativeAI development. These new reference applications include partner microservices, one or more AI agents, reference code, customization documentation and a Helm chart for: ✅ Digital humans ✅ Multimodal PDF data extraction ✅ Virtual screening Get started:

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Using generative AI, NVIDIA operations built an AI Planner agent, developed on NVIDIA Inference Microservices (NIM). The agent leverages LLM, NeMo Retriever and CuOpt NIM to reduce re-planning time from hours to just seconds. https://nvda.ws/4bIfS2T

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📣 Live from AI Summit: We are collaborating with top U.S. tech leaders to revolutionize the world’s industries with custom #AI solutions. https://nvda.ws/47U1DXw 📰 Read now to discover the transformative power of NVIDIA NIM Agent Blueprints and NVIDIA NeMo and NVIDIA NIM microservices in shaping the future.

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🌟 Boost your AI #inference throughput by up to 3.6x. ⚡ Learn how in this technical deep dive ➡️ We now support speculative decoding and tripling token throughput with our NVIDIA #TensorRT-LLM. Perfect for your generative #AI apps.

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🚨 NVIDIA partners with #Healthcare leaders to accelerate computing with NVIDA AI and transform a $10 Trillion industry. 🔬 Arc Institute leverages NVIDIA BioNeMo platform running on #DGX Cloud to optimize to advance #biomedical discovery. 🧬 Illumina to use NVIDIA accelerated computing and #AI toolsets for its multiomics analysis software and workflows 🤖 IQVIA developing #AgenticAI solutions with NVIDIA NIM microservices and NVIDIA Blueprints 🥼 Mayo Clinic to massively accelerate the development of next-generation pathology foundation models and plans to use NVIDIA DGX™ Blackwell systems and NVIDIA MONAI #agenticai #drugdiscovery #bionemo #monai #jpm25 #acceleratedcomputing

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✨ Process high-quality data for training highly accurate #generativeAI models. Check out the new key feature updates to NVIDIA #NeMoCurator: 🔄 Scalable semantic deduplication across multiple nodes 🖼️ CLIP image embedding creation 🎨 Aesthetic classification 🛡️ Classification for NSFW (not safe for work) Ready to dive in? Get started with this easy-to-use notebook 📗 https://lnkd.in/eAdVNn8A #DataProcessing

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✨ Process high-quality data for training highly accurate #generativeAI models. Check out the new key feature updates to NVIDIA #NeMoCurator: 🔄 Scalable semantic deduplication across multiple nodes 🖼️ CLIP image embedding creation 🎨 Aesthetic classification 🛡️ Classification for NSFW (not safe for work) Ready to dive in? Get started with this easy-to-use notebook 📗 https://lnkd.in/eAdVNn8A #DataProcessing

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🌎 Meet the #NVIDIAInception startup that is revolutionizing wildfire prevention and protection planning. ➡️ bit.ly/49JrNx7 Vibrant Planet harnesses cutting-edge AI and massive datasets to create a powerful, cloud-based decision-making platform scalable for the public sector, local businesses, and communities.

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Optimize data processing with JOOQ + Flux! Learn how to handle large datasets, control memory, and boost performance.

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Enums enhance code readability and clarity. They define named values for model attributes, making them ideal for representing statuses, stages, and states. An article from the team at reinteractive explores the powerful features of enums, particularly how they make code readable and self-explanatory … https://buff.ly/4cKGWiu #RubyOnRails #Programming #Enums #reinteractive

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#NVIDIAInception startup VideoRequest uses the NVIDIA Maxine AI developer platform to bring sophisticated, real-time video-editing tools to its platform. This enables end users to focus on the message they want to send rather than the video settings or processing tools. https://lnkd.in/gV4U_Kxk Watch Maxine's AI-powered eye contact and virtual background create a much more polished video in seconds.

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AI has become sentient in Japan https://lnkd.in/gh9GKD22

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📊 Exciting news from the tech world! A recent report highlights the growth prospects of the U.S. Ambulatory EHR (Electronic Health Records) market, projecting significant expansion through 2031, particularly driven by the integration of AI and machine learning technologies. This trend opens the door for innovative solutions that can enhance patient care, streamline operations, and improve data management in healthcare settings. As we navigate the complexities of health tech, it's crucial to recognize the role of AI and ML in transforming EHR systems. These technologies promise to improve not just efficiency, but also the accuracy of diagnoses and treatments. The opportunity for growth in this sector presents both challenges and advantages for IT professionals and companies working at the intersection of healthcare and technology. In this evolving landscape, we must consider how to harness these advancements responsibly. Data security and patient privacy will remain top priorities as we adopt more sophisticated technologies. Additionally, the shift in demand for flexible deployment modes and tailored solutions will require us to adapt quickly to changing consumer needs. I encourage my network to reflect on what these developments mean for you and your organizations. How are you preparing to leverage these trends in your own practice? 🤔 Let's discuss! Share your thoughts or strategies for adapting to these changes below. 💬 https://buff.ly/4a8gSNN #AmbulatoryEHR #HealthTech #EHRMarket #USHealthcare #DigitalHealth #AIMLIntegration #HealthcareInnovation #MarketTrends

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Nice article on AI/ML role in design and test from several perspectives. One point that I tried to make which I think it really important is that AI is a tool and doesn't replace engineering innovation. An example I like is the "south pointing chariot" used about two thousand years ago to navigate across land. Great technology and cool engineering. However, a much simpler method was developed around a similar timeframe which was probably 1000x more accurate - the compass.

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