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Arm lays the groundwork for the software-defined vehicle

ZDNet

Cars are increasingly driven by code, from Advanced Driver Assistance Systems (ADAS) to infotainment systems. Yet as these features and capabilities evolve, the software that needs to be developed, managed, deployed and updated becomes increasingly complex. Arm is leading a collaborative effort to build a common development framework for the software-defined car to solve this problem. It's working with major technology and automotive partners to develop standards, software, developer resources, and specialized processing platforms designed for automotive applications' safety and real-time needs. "We strongly believe a software-defined approach can help to address this growing software complexity," Chet Babla, Arm's VP of automotive, told reporters. "But without a common development framework, the industry can't maximize supply chain efficiencies or accelerate innovation."


Neural-Network Hardware Drives the Latest Machine-Learning Craze

#artificialintelligence

Artificial-intelligence (AI) research covers a number of topics, including machine learning (ML). ML covers a lot of ground as well, from rule-based expert systems to the latest hot trend--neural networks. Neural networks are changing how developers solve problems, whether it be self-driving cars or the industrial Internet of Things (IIoT). Neural networks come in many forms, but deep neural networks (DNNs) are the most important at this point. A DNN consists of multiple layers, including input and output layers plus multiple hidden layers (Figure 1).


The IIoT Platform Buyer's Guide

#artificialintelligence

Let's start by establishing some key definitions. First things first: What is a platform? In manufacturing, a platform is a set of hardware and software tools for connecting industrial processes and workers. A platform is a set of hardware and software tools for connecting industrial processes and workers. This is about as general as you can get with a definition before the term loses its descriptive power.


4 Ways To Overcome The Complexity Of IoT Implementation

Forbes - Tech

In the consumer space, it is well publicized how nearly every device is becoming smarter and more connected. What receives less attention in mainstream media is the considerable impact the Internet of Things (IoT) is having in the industrial sector. The Industrial Internet of Things (IIoT) is already helping enterprises operate more safely and productively while improving efficiency and reducing costs. While the IoT can offer significant benefits, they can be challenging to implement. Forbes Insights recently surveyed more than 500 executives and, when asked about their greatest challenge in building out their IoT capabilities, 29% said it was the quality of IoT technology.


OpenAMP project joins the Linaro Community Projects division

#artificialintelligence

The OpenAMP project aims to standardize interactions between operating environments in a heterogenous embedded system through open source solutions. The founding members of this project include Arm, Kalray, Linaro, Mentor, ST Microelectronics, Wind River and Xilinx. For the most up-to-date list of members, go to www.openampproject.org. SoCs (system on a chip) are becoming more heterogeneous, with multiple CPU (central processing unit) clusters and special purpose accelerators. As a result, AMP (asymmetric multiprocessor) systems need to be able to run different operating environments side-by-side on the same chip.