Featured Blogs

• The Eclectic Engineer

  

  Better 5G with AI?

  5G is expected to reduce latency further and increase throughput by 1000 times over 4G. 5G, as an aggregation...

• EECatalog - Gears of Resistance

  

  Demystifying Firmware Debugging

  Debugging embedded systems and associated firmware can be more art than science. Is the problem in hardware...

• IoT@Intel

  

  Data Drives Design – Conversations in IoT Architectural Design

  In 2015, there were 15.41 billion connected Internet of Things (IoT) devices around the world. By 2020,...

• Cars That Think

  

  Auto Consultant Lawrence Burns Dishes the Dirt on Waymo

  Burns's book "Autonomy" offers an insider's take on Google's self-driving car spinoff

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• Introducing the Model Zoo for Intel Architecture  /   (Embedded Vision)

  The project contains more than 20 pre-trained deep learning models, benchmarking scripts, best practice documents and step-by-step tutorials Are you a data scientist who wants to optimize the performance of your machine learning (ML) inference workloads? Perhaps you’ve heard of the Intel® Optimization...

• Adaptive Deep Reuse Technique cuts AI Training Time by more than 60 Percent  /   (Inside HPC)

  North Carolina State University researchers have developed a technique that reduces training time for deep learning networks by more than 60 percent without sacrificing accuracy, accelerating the development of new artificial intelligence applications. “One of the biggest challenges facing the development of new AI tools...

• Introducing the Model Zoo for Intel Architecture  /   (Embedded Vision Alliance)

  The project contains more than 20 pre-trained deep learning models, benchmarking scripts, best practice documents and step-by-step tutorials Are you a data scientist who wants to optimize the performance of your machine learning (ML) inference workloads? Perhaps you’ve heard of the Intel® Optimization...

• Machine Learning powered detections with Kusto query language in Azure Sentinel  /   (MS Security)

  As cyberattacks become more complex and harder to detect. The traditional correlation rules of a SIEM are not enough, they are lacking the full context of the attack and can only detect attacks that were seen before. This can result in false negatives and gaps in the environment. In addition, correlation rules require significant...

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