Develop Your Windows Apps on Arm-Based Hardware

Patrick Hopper

Publisher, President #Influencer @ OpenSystems Media | Embedded | AI | IoT | Military | Aerospace

Published Sep 21, 2023

As you would expect, “Windows on Arm” refers to a version of the Microsoft Windows operating system that’s designed to run on devices powered by Arm-based processors. Such devices are quite plentiful. They are in most of our smartphones, tablets, and a slew of other low-cost devices, many of them powered by batteries.

The Windows on Arm initiative aims to bring the full Windows experience to devices beyond the traditional x86 and x64 architecture. Read more.

Oracle Announces New AmpereOne Processor and Next-Gen A2 Compute

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 PhenixChat and AI startup Wallaroo.AI , are migrating to Oracle Cloud Infrastructure (OCI) and Ampere.

Oracle also announced its next generation Ampere A2 Compute Instances based on the newest version of the AmpereOne processor will be available this year. According to the release, the new instances are designed for AI inference, databases, web services, media transcoding workloads, and run-time language support, including GO and Java. Read more.

Embedded Executive: Let the Code Write Itself, JITX

There are better ways to write embedded code than the traditional methods. Doing it in a visual fashion is one of those ways. But how does that work, and how does it adapt specifically to my hardware?

While you might have thought such technology was already available, Duncan Haldane, the CEO of JITX says that’s not the case. Hear what he has to say on this week’s Embedded Executives podcast.

AiM Future Bullseyes Next-Gen Edge AI

AiM Future, Inc. is excited about its new family of NeuroMosAIc Processors boasting a 60% increase of performance over earlier designs. AiM Future has developed three solutions as part of its new family, the ultra-low power NMP-350, the efficient NMP-550, and an edge deployed focused NMP-750. The platforms support NeuroMosAIc Studio enabling accelerated AI applications in computer vision, audio, and multi-sensor fusion. Read more.