Prediction Guard, member of the Intel® Liftoff for Startups program, is hosting a generative AI hackathon with the support of the Liftoff team.
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Neural networks news
Intel NN News
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The Advent of GenAI Hackathon: Intel Developer Cloud Powers AI Innovation
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Top AI Projects Developed on Intel® Developer Cloud at Cal Hacks 10.0 Hackathon
Intel® Developer Cloud and Intel® Liftoff Program contributed to Cal Hacks 10.0 AI hackathon.
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Knowledge Retrieval Takes Center Stage
GenAI Architecture Shifting from RAG Toward Interpretive Retrieval-Centric Generation (RCG) Models
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oneAPI DevSummit 2023: Meet the Founders Overcoming AI Production Barriers with Intel
In a recent panel discussion on AI deployment, Intel Liftoff members and startup leaders addressed challenges, emphasizing Intel’s pivotal role in realizing the vision of « AI everywhere. »
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Intel and Microsoft Collaborate to Optimize DirectML for Intel® Arc™ Graphics Solutions
Speed up generative AI workloads with DirectML and Intel Arc GPUs with the latest driver
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Getting Insights from Data in Plain English: The Mango Jelly Joins the Intel® Liftoff Hackathon
Intel Liftoff for Startups program collaborates with The Mango Jelly to boost e-commerce data analytics with user-friendly AI solutions.
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Develop and Optimize Your Own Talking Chatbot in 5 Minutes
Get started with AI chatbot development with just a few lines of code.
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Bringing AI Everywhere: Intel AI Summit Series
Intel AI Summits can help new and existing AI customers drive innovation using Gen AI technologies.
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Accelerating Graph Neural Network Training on Intel CPU through Fused Sampling & Hybrid Partitioning
Intel Labs and AIA developed a new graph sampling method called “fused sampling” that achieves up to 2x speedup in training Graph Neural Networks (GNNs) on CPUs. The new sampling pipeline is now part of the Deep Graph Library (DGL), one of the most popular libraries for training GNNs.
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AI Innovation Bridge Hackathon at Intel Innovation 2023
Learn about the “build your own adventure” style hackathon at Intel Innovation 2023
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