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Neural networks news
Intel NN News
- Tuning your AI Factory to Meet Requirements
Matching equipment (in this case CPU/GPU/LPU) to workload requirements is our focus in part 2 of […]
- Intel vPro Security Drives New AI PC Innovations with the Security Ecosystem
AI for security, security for AI, AI detection and response, prompt injection detection, agentic […]
- From Gold Rush to Factory: How to Think About TCO for Enterprise AI
Less Gold Rush and more Boring Factory – The evolving AI mindset.
- Tuning your AI Factory to Meet Requirements
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How Intel Creates Better AI Video Understanding with Scene Graph Technology
Intel researchers developed EASG-Bench, a new benchmark with more than 1,800 question-answer pairs that tests how well AI models understand what happens in first-person videos by using structured scene graphs instead of narrative video descriptions
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Intel® Xeon 6® Processors: Delivering High Throughput and Low Latency with Data Center LLMs
When optimizing LLM workloads, hardware is only one piece of the equation. Intel brings decades of experience working with software developers, building a strong ecosystem to optimize software for Intel Xeon processors.
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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 started as fringe technology is now a mainstream concern for consumers, businesses, and governments alike. For Leena Elias, Chief Product Officer at Gen Digital, … Continuer la lecture
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Powering Agentic AI with CPUs: LangChain, MCP, and vLLM on Google Cloud
With the launch of the C4 series, Google Cloud now offers access to Intel® Xeon® 6 processor with P-cores which are well-suited for a variety of workloads, including agentic AI systems.
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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 open-source AI infrastructure in collaboration with Intel and the Open Platform for Enterprise AI (OPEA).
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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 a powerful solution for efficiently serving large language models (LLMs).
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KVCrush: Rethinking KV Cache Alternative Representation for Faster LLM Inference
Developed by Intel, KVCrush can improve LLM inference throughput up to 4x with less than 1% accuracy drop.
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Scaling AI with Confidence: Lenovo’s Approach to Responsible and Practical Adoption
In the race to operationalize AI, success depends not on flashy pilots, but on turning experimentation into measurable business value. According to David Ellison, Chief Data Scientist and Director of AI Engineering at Lenovo, the most successful AI projects start … Continuer la lecture
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Unlocking AI-Driven Media Monetization with Intel® Xeon® CPUs and Broadpeak BannersIn2
In this article, we will cover how to deploy high-performance AI inferencing for media data curation and retrieval-augmented generation (RAG) without requiring discrete GPUs.
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AI at the Edge: Intel’s Vision for Real-World Impact
When it comes to scaling AI, the conversation isn’t only about the cloud—it’s about the edge. According to Matthew Formica, Senior Director and Head of Edge Product Marketing & AI PC/Edge AI Software Developer Relations at Intel, the edge represents … Continuer la lecture
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