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Articles récents
- AI PCs and the Future of Cybersecurity: AI-Powered Protection from Deepfakes
- Powering Agentic AI with CPUs: LangChain, MCP, and vLLM on Google Cloud
- Building a Sovereign GenAI Stack for the United Nations with Intel and OPEA
- Accelerating vLLM Inference: Intel® Xeon® 6 Processor Advantage over AMD EPYC
- KVCrush: Rethinking KV Cache Alternative Representation for Faster LLM Inference
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Neural networks news
Intel NN News
- AI PCs and the Future of Cybersecurity: AI-Powered Protection from Deepfakes
The rise of deepfakes has introduced a new dimension of risk in today’s digital landscape. What […]
- Accelerating vLLM Inference: Intel® Xeon® 6 Processor Advantage over AMD EPYC
The vLLM (Virtualized Large Language Model) framework, optimized for CPU inference, is emerging as […]
- Building a Sovereign GenAI Stack for the United Nations with Intel and OPEA
The United Nations (UN) has taken a bold step toward digital sovereignty by developing an […]
- AI PCs and the Future of Cybersecurity: AI-Powered Protection from Deepfakes
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Archives mensuelles : juillet 2023
Are all Transformer Layers Necessary? Novel Adaptive Inference Method Presented at ACL 2023
Intel Labs and the Hebrew University of Jerusalem present SWEET, an adaptive Inference method for text classification at this year’s ACL conference.
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Chronic Kidney Disease Risk Prediction using Modin and scikit-learn* (sklearn): Developer Spotlight
Developer Spotlight: Arnab Das proposed a solution to Chronic Kidney Disease Risk Prediction
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IT Requirements for Effective AI Planning
According to a whitepaper from ABi Research, every AI investment must be a forward-looking business decision. As the 2020s are shaping up as the decade of Artificial Intelligence, businesses have increased their AI budgets significantly.
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Enterprise AI: Growing Momentum, But Who is Driving?
According to a survey and white paper from Omdia Consulting, the focus is shifting towards the developer’s role in creating, implementing, and maintaining diverse AI models that can be efficiently developed and trained, and that are compatible with various software … Continuer la lecture
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Modin Reaches 10M Downloads
Modin, the open-source scalable drop-in replacement for pandas, has reached 10M downloads.
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