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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 de catégorie : Non classé
AMX Support for Mixed-precision Training and Inference Now Available in TensorFlow* 2.12
Take advantage of mixed precision to make DL models run faster during training and inference
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Intel Labs Details Latest Innovations in Deep Learning at ICLR 2023
The International Conference on Learning Representations (ICLR) 2023 will run from May 1st through 5th in Kigali, Rwanda. Intel Labs’ innovations in model linearization include a three-stage training method that trains a DNN model with significantly fewer rectified linear units … Continuer la lecture
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Architecting for Accelerators – Intel® AMX and Intel® XMX
Using SYCL Joint Matrix Extension on Intel® AMX and Intel® XMX to create custom AI optimizations
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Intel Labs Shares Kid Space at Home Research with the Educational Community at Bett UK 2023
Intel Labs excitedly presented its recent research, ‘Multi-Modal Conversational Artificial Intelligence in Early Childhood Education: Kid Space at Home’ at British Educational Training and Technology United Kingdom (Bett UK 2023) in March.
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Multi-Model, Hardware-Aware Train-Free Neural Architecture Search
In this blog, we introduce the challenges of traditional NAS solutions and propose a multi-model, hardware-aware, train-free NAS to resolve those challenges. It includes a unified transformer-based search space, a hardware-aware search strategy, and a train-free score method. We also present … Continuer la lecture
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Have Machines Just Made an Evolutionary Leap to Speak in Human Language?
In this blog, we evaluate the progression of methods to guide and converse with machines based on recent technology innovations, such as OpenAI’s ChatGPT and GPT-4, and explore the next needed steps in conversational AIs toward mastering natural conversation like … Continuer la lecture
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Intel, Brown, and MIT Set New Record in Energy-Efficient Sorting
Intel Labs, in a joint effort with Brown University and MIT through a DSAIL research collaboration, has been crowned as the new record holder for the JouleSort “Indy” Category, completing the task using just 63 kJ.
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Numenta and Intel Accelerate Inference 20x on Large Language Models with Intel® Xeon® CPU Max Series
Numenta demonstrates new NLP capabilities for customers on Intel® Xeon® CPU Max Series processors
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Intel AI Startup Olympics: Hackathon to Accelerate Innovation
This event let startups showcase and refine their technology on the latest Intel hardware and software
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Intel® Xeon® Processors Are Still the Only CPU With MLPerf Results, Raising the Bar By 5x
4th Gen Xeon processors deliver remarkable gen-on-gen gains across all MLPerf workloads
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