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Articles récents
- Low-Power AI: Driving the Next Era of Efficient Intelligence
- Specialized Cognitive Experts Emerge in Large AI Reasoning Models
- Evaluating Trustworthiness of Explanations in Agentic AI Systems
- Unlocking AI Development with Windows* ML: Intel and Microsoft’s Strategic Partnership
- Multi-Modal Brand Agent: Connecting Visual Logos to Business Intelligence
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Neural networks news
Intel NN News
- Low-Power AI: Driving the Next Era of Efficient Intelligence
Falcons.AI’s 4MB neural network mimics the brain to cut power use by 10x, delivering accurate […]
- Specialized Cognitive Experts Emerge in Large AI Reasoning Models
Intel researchers found that DeepSeek-R1 demonstrates greater semantic specialization in expert […]
- Evaluating Trustworthiness of Explanations in Agentic AI Systems
Intel Labs research published at the ACM CHI 2025 Human-Centered Explainable Workshop found that […]
- Low-Power AI: Driving the Next Era of Efficient Intelligence
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Archives mensuelles : juillet 2024
Intel sponsored UC Berkeley’s AI Hackathon
Developers tried their hands on AI PC and Intel® Gaudi® AI accelerator at UC Berkeley’s AI hackathon.
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How Othman Benkiran and Undefine Are Making an Impact on Africa’s AI Scene
Find out how Othman Benkiran transformed a side project into a groundbreaking AI venture that’s revolutionizing knowledge analysis for consulting firms.
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Learn LLM Optimization Using Transformers and PyTorch* on Intel Hardware
Learn LLM Optimization Using Transformers and PyTorch* on CPUs and GPUs
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5 Stages of Design Thinking for AI Startups from the Intel® Liftoff African Hackathon
In this article we unpack five key takeaways from the foundation of a successful design thinking approach for AI startups. Let’s dive in.
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Python* Loop Replacement: NumPy* & PyTorch* Optimizations and Other Tensor Topics
This article demonstrates how and why users might want to convert to and from NumPy ND arrays.
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Cheap and Available AI – How Nodeshift Makes AI Compute Accessible
How Nodeshift is reshaping the cloud services market.
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