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Neural networks news
Intel NN News
- Making Vector Search Work Best for RAG
This blog in the series on Scalable Vector Search summarizes insights from our study on optimizing […]
- GenAI-driven Music Composer Chorus.AI: Developer Spotlight
An Intel® Student Ambassador’s GenAI solution for music composition
- Tangible Immersion: How Intel Labs Programs Cobots Using Haptic Mixed Reality
Using programming-by-demonstration for collaborative robots (cobots), Intel Labs researchers employ […]
- Making Vector Search Work Best for RAG
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Archives mensuelles : avril 2024
Non-Stop Innovation: Rahul U. Nair Discusses GenAI at Hackathons on Code Together
Discover the transformative impact of generative AI in hackathons with Rahul Unnikrishnan Nair on the Code Together podcast. Learn how this technology is speeding up development and making advanced projects more accessible, fostering a new wave of innovation.
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Three Quick Tips for Implementation from an LLM Expert
An expert in Large Language Models shares tips for successfully implementing enterprise-level LLMs.
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Using Monocular Depth Estimation to Mask an Image
Learn the steps to create a clipped image with background clutter removed from the image.
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AI Solutions for Smart Cities
How AI can make our cities smarter using existing infrastructure
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Intel® Liftoff Startups Featured in New Code Together Podcast Episodes
With a strong focus on how Intel® Liftoff is scaling startups within the broader Intel AI ecosystem, this podcast series highlights how Intel® Liftoff supports innovation and growth.
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Generative AI – Driving Innovation and Leveling the Playing Field for Startups
AskUI CEO Jonas Menesklou talks about how GenAI in a rapidly changing world.
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Introduction to NumPy* Universal Functions (ufuncs)
The article shows how to use NumPy* Universal Functions.
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Innovative AI Projects Built on Intel® Tiber™ Developer Cloud: UVA’s HooHacks Hackathon Highlights
Highlights of University of Virginia’s HooHacks 2024 hackathon.
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Building an Interactive Educational Platform Using Intel AI Tools and Frameworks
Proposed an interactive learning environment – Learners’ Ed using Intel AI Tools and Frameworks.
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