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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 →

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 →

Structured, explicit, and intelligible knowledge can provide a path toward higher machine intelligence.

The information-centric classification proposed here includes three key classes of AI systems:  Fully Encapsulated Information, Semi-Structured Adjacent Information, and Deeply Structured Knowledge. 

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.

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.

Learn how Intel’s recent work with SwitchML technology lets intelligent Ethernet switches streamline network communication to accelerate machine learning training.

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.

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.

The rapid growth of deep learning (DL) is incredible. Progressing and enabling innovation at a breathtaking clip, DL is expected to drive technological progress and industry transformation for years to come.