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On a single instance of n2-highcpu-64 on GCP, the whole pipeline finishes in just 459 seconds (7.65 mins). This is nearly 40 times faster than the 5-hour CPU baseline that we started with. This is also nearly 1.5 times faster … Continuer la lecture →

How knowledge constructs can transform AI from surface correlation to comprehension of the world

The ability to learn tasks in a way that multiple ones can be performed simultaneously challenges both people and artificial neural networks.

Women researchers at Intel Labs are working on new technology every day. In honor of Women’s History Month, we would like to highlight their innovative work. Through their contribution of novel ideas, problem-solving skills, and collaborative team efforts, Intel Labs … Continuer la lecture →

This blog will discuss the significance of context in ML, and how late binding context could raise the bar on machine enlightenment.

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.

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.