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Articles récents
- Intel Labs Researcher Souvik Kundu Receives DAC Under-40 Innovators Award for Impactful AI Research
- How Startups Can Benefit from Corporates: Learnings from Intel® Liftoff for AI Startups
- Mamba-Shedder: Intel Labs Explores Efficient Compression of Selective Structured State Space Models
- Driving Industrial Innovation with AI at the Edge: Open Platforms Leading the Way
- Deploying Scalable Enterprise RAG on Kubernetes with Ansible Automation
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Neural networks news
Intel NN News
- Intel Labs Researcher Souvik Kundu Receives DAC Under-40 Innovators Award for Impactful AI Research
Souvik Kundu is a Staff Research Scientist at Intel Labs, leading scalable and efficient AI […]
- How Startups Can Benefit from Corporates: Learnings from Intel® Liftoff for AI Startups
Wondering if your AI startup should team up with a big tech company? Here’s what 350+ founders […]
- Intel Labs’ Innovative Low-Rank Model Adaptation Increases Model Accuracy and Compression
Intel Labs’ Neural Low-Rank Adapter Search (NLS) produces accurate models with INT4 weights and […]
- Intel Labs Researcher Souvik Kundu Receives DAC Under-40 Innovators Award for Impactful AI Research
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Archives mensuelles : octobre 2024
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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Generative AI as a Life Saver: CerebraAI Helps Detecting Strokes Quicker And More Precisely
With the help of CerebraAI’s generative AI software the detection and treatment of strokes can be significantly enhanced. In order to optimize their software CerebraAI is using Intel® OpenVINO toolkit within several of its models.
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Optimizing Multimodal AI Inference
In this recap of Rahul Nair’s workshop from Intel® Liftoff Days 2024, we’ll dive into optimization strategies for multimodal AI inference on Intel hardware. Learn how to leverage Intel’s software tools to boost performance and streamline AI workflows.
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The 24.08 Intel® Tiber™ Edge Platform Release is Now Available
Discover the latest Intel Tiber Edge Platform features and revolutionize your edge AI solutions!
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