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AI Efficiency and Practical Performance: Delivering What Enterprises Really Need
Learn how professional services firms are unlocking AI’s full potential with Intel’s open, flexible solutions.
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Beewant’s Multimodal AI: Smarter Solutions for Training, Travel, and Safety
Beewant’s cutting-edge multimodal AI redefines multimedia, driving innovative applications across corporate training, travel, and safety with efficiency, insight, and transformative capability.
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Get Your Innovation to Go with Innovation Select Videos
Catch up on the latest Intel Innovation developer and technical content with demos, tech talks and more.
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Building AI for Low-Resource Languages: Bezoku’s Innovative Approach
Bezoku, a member of the Intel® Liftoff program, is addressing the challenges of low-resource language modeling with innovative solutions designed to enhance communication across diverse dialects. Recently featured on the Intel On AI podcast, find out how they’re shaping the … Continuer la lecture
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Accelerate PyTorch* Inference with torch.compile on Windows* CPU
We are excited to announce that PyTorch* 2.5 has introduced support for the torch.compile feature on Windows* CPU, thanks to the collaborative efforts of Intel and Meta*. This enhancement aims to speed up PyTorch code execution over the default eager … Continuer la lecture
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DubHacks’24 Hackathon Where Developers Innovatively Utilized Intel® Tiber™ AI Cloud and AI PCs
DubHacks’24 Hackathon: Highlights and Winning Projects of the ‘Best Use of Intel AI’ Track
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Boost the Performance of AI/ML Applications using Intel® VTune™ Profiler
Enhance the performance of Python* and OpenVINO™ based AI/ML workloads using Intel® VTune™ Profiler
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AI Developers, Join Team Intel at the UT Austin’s HackTX 2024 Hackathon!
Bringing Intel® Tiber™ AI Cloud and AI PC for developers at the UT Austin’s HackTX 2024 hackathon
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Model Quantization with OpenVINO
Discover how Desmond Grealy’s workshop on model quantization with OpenVINO explored ways to enhance AI performance and reduce model size for edge deployment.
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Optimizing Federated Learning Workloads: A Practical Evaluation
This webinar provides a deep dive into the technical aspects of using federated learning in healthcare, particularly for AI-based diagnostic tools in medical imaging.
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