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Neural networks news
Intel NN News
- Intel Presents Novel Research at NAACL 2025
Intel is proud to present four papers this year’s Annual Conference of the Nations of the […]
- Accelerating AI Transformation: Intel® Gaudi® 3 AI Accelerators on IBM Cloud at IBM Think 2025
Intel Gaudi 3 accelerators on IBM Cloud deliver faster, scalable, and cost-efficient AI for […]
- Getting Started with Intel® Tiber™ AI Cloud
Discover how to launch your AI projects faster with Intel® Tiber™ AI Cloud - access the latest […]
- Intel Presents Novel Research at NAACL 2025
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Archives de catégorie : Non classé
Using Natural Language in Imitation Learning to Instruct Robots
Our team of researchers from Arizona State University, Intel AI Labs, and Oregon State University used language as a flexible goal specification for imitation learning (IL) in manipulation tasks, providing a communication channel between the human expert and the robot.
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Advancing Confidential Computing with Intel’s Project Amber
In just a few short years, confidential computing has gained wide attention and momentum as a powerful new way to provide end-to-end protection of in-use code and data. Financial services, government, retail, healthcare, cloud service providers (CSPs) and many others, … Continuer la lecture
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Witness the power of Intel® iGPU with Azure IoT Edge for Linux on Windows(EFLOW) & OpenVINO™ Toolkit
In this blog you will learn how to: Setup and deploy your application or docker container in Linux VMs using Azure IoT Edge for Linux on Windows (EFLOW) on a windows device System Setup for EFLOW Install EFLOW EFLOW … Continuer la lecture
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The Rise of Cognitive AI
Structured, explicit, and intelligible knowledge can provide a path toward higher machine intelligence.
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Seat of Knowledge: Information-Centric Classification in AI – Class 2
The information-centric classification proposed here includes three key classes of AI systems: Fully Encapsulated Information, Semi-Structured Adjacent Information, and Deeply Structured Knowledge.
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Seat of Knowledge: Information-Centric Classification in AI
In this series of blogs, I offer a different perspective: an information-centric classification with emphasis on the type, structure, and representation of knowledge and its implications for the attributes of the systems that deploy them.
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One-Layer Implicit Deep Model Uses Less Memory for Pattern Recognition
Researchers at Carnegie Mellon University and Intel Labs introduced a multiscale deep equilibrium model (MDEQ) that represents an “infinitely” deep network with only a constant memory cost.
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Intel Works with AI Ecosystem to Accelerate ML Training Using Intelligent Ethernet Switches
Learn how Intel’s recent work with SwitchML technology lets intelligent Ethernet switches streamline network communication to accelerate machine learning training.
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Deep Knowledge as the Key to Higher Machine Intelligence
While not expected to reach the goals of open-ended artificial general intelligence (AGI), AI with higher cognitive capabilities will play a new role in technology and business.
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Python Data Science and Machine Learning at Scale
Intel is working to improve workloads for artificial intelligence (AI) developers and data scientists by offering a wide variety of AI Python optimizations and tools.
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