Embedded Computing Design

This week on DevKit Weekly, we're going to take a look at the Sensortile.Box Pro from STMicroelectronics.

The CSA has announced the second update to Matter, version 1.2. It is now available for device makers and platforms to use, and this new version is reportedly loaded with nine new device types, revisions, and additions to existing categories, several core improvements to the specification and SDK, and new certification and testing tools.

If you’ve been paying any attention at all, you know that generative AI tools are being used to create content in all sorts of areas, from visual art to television and movie scripts and news articles, and for many companies in the embedded space, code.

Today, NVIDIA announced a broad series of major updates to its Isaac robotics platform. The announcements came at the ROSCon 2023 event.

In Smart Home or office, smart cameras are the leading way that owners and operators protect the physical plant, and the success of these systems hinge on the quality of the vision. That trend is likely to continue, and the computer vision market is very likely to grow, according to the recent Status of the CMOS Image Sensor Industry report by Yole Intelligence.

PICMG recently announced its new COM-HPC 1.2 “Mini” specification, which is designed to provide a cost-effective, lower power module for edge applications like autonomous mobile robots, drones, mobile 5G test and measurement equipment.

At next week’s Open Compute Project (OCP) event, the 2023 OCP Global Summit, Axiado Corporation, a company developing hardware cybersecurity, will show off its recently announced SCM3000 family of modules, which the company said is designed specifically for scalability, longevity, and interoperability across enterprise platforms.

It’s hard to think of a category that’s using more resources for embedded computing than automotive. Through its entire supply chain, from raw materials through manufacturing and warehousing, and all the way to the consumer, the automotive industry is using embedded computers to enhance operations, automate process, integrate AI, engage with edge computing, and any number of other implementations.

Autonomous mobility conversations tend to focus on cars or trucks, but one developer in India is leveraging AI and embedded computing to bring autonomous navigation capabilities to wheelchairs.

In automated manufacturing and industrial robotics, no part of the system is more critical to operations, efficiency, and avoidance of downtime than a well-designed and integrated PLC (programmable logic controller), and the MRAM (magnetoresistive random-access memory) configuration memory that gives it stability and reliability.

Windows is well known as one of the more stable and reliable OS choices for embedded and industrial applications, but it’s traditionally only run on machines that are powered by x86 processors. That isn’t the case anymore, and it’s time to start thinking of bringing the advantages of Windows onto your Arm-powered machines.

Oracle Cloud World is this week in Las Vegas, and the news is coming fast and thick. Oracle announced that several new customers, including real-time video service companies 8x8 and Phenix and AI startup Wallaroo, are migrating to Oracle Cloud Infrastructure (OCI) and Ampere.

The electric motor (or it’s little sibling, the actuator) is one of the most ubiquitous machines in today’s world, used in everything from automatic doors in retail locations to Tesla and robotic manufacturing arms.

Unigen Corporation is launching the first of its line of Compact Edge AI Servers (Product Name: Cupcake) at the 2023 AI Hardware and Edge Summit.

The path to industrial automation runs right through the machine learning curve, and every major player is looking to make those computing loads easier to bear.

Memory management can be the bane of any developer’s plans. Everything from address translation to coherence and projection is complex and performance-critical. Now, Bluespec, a company that provides RISC-V tools and silicon IP, is offering a path to ease the way.

The Intelligent Edge is becoming increasingly important to Industrial, IoT, enterprise, and operations in almost every vertical. And the sensors, networks, and systems that need to operate at the Edge are increasingly dependent on FPGA and other embedded systems to accomplish their goals.

RISC-V is the hot thing in embedded these days, it seems, with news hitting every day. We’ve looked at some of the key tools and players in the RISC-V space, and even seen several major players make moves this week.

The recent growth in RISC-V interest and adoption is hard to deny, and MIPS, a developer of high-performance RISC-V compute IP, is looking to grow right along with the rising tide.

Vishay Intertechnology has introduced three miniaturized infrared (IR) sensor modules for programmable remote control systems and have modular carrier output for code learning systems.