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Articles récents
- Beewant’s Multimodal AI: Smarter Solutions for Training, Travel, and Safety
- Get Your Innovation to Go with Innovation Select Videos
- Building AI for Low-Resource Languages: Bezoku’s Innovative Approach
- Accelerate PyTorch* Inference with torch.compile on Windows* CPU
- DubHacks’24 Hackathon Where Developers Innovatively Utilized Intel® Tiber™ AI Cloud and AI PCs
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Neural networks news
Intel NN News
- Beewant’s Multimodal AI: Smarter Solutions for Training, Travel, and Safety
Beewant’s cutting-edge multimodal AI redefines multimedia, driving innovative applications across […]
- 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 […]
- 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 […]
- Beewant’s Multimodal AI: Smarter Solutions for Training, Travel, and Safety
Archives mensuelles : août 2024
Hacking the Future: Recapping The Inaugural Intel® Liftoff Days 2024
Welcome to our recap of our inaugural Intel® Liftoff Days 2024, a unique virtual hackathon event tailored exclusively for the program members. This week-long immersive tech acceleration experience offered our startup community a distinct opportunity to explore various cutting-edge topics … Continuer la lecture
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Customer Churn Prediction with Intel AI Tools: Developer Spotlight
Customer churn is defined as the number of people stopped being customers over a certain time frame. It is a key metric for business and a high customer churn rate indicates that the customer is no longer interested in the … Continuer la lecture
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Intel Research on LiDAR Localization with Semantic Awareness Receives Highlight Award at CVPR 2024
Researchers at Intel Labs, in collaboration with Xiamen University, have presented LiSA, the first semantic aware AI framework for highly accurate 3D visual localization. LiSA can leverage pre-trained semantic segmentation models to significantly improve state-of-the-art 3D visual localization accuracy, without … Continuer la lecture
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