This blog post was originally published at AImotive’s website. It is reprinted here with the permission of AImotive. It has been recognized by many leaders in the automotive industry that vehicles of the future will rely on far more highly integrated, scalable software that can be rapidly and regularly updated throughout the life of the […]
For Software Leadership, Control Your Hardware Read More +
This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. Modern cars are becoming more sophisticated by continually integrating additional technologies that lower dependencies on a person’s capability to drive, without compromising safety. These systems are called Advanced Driver-Assistance Systems (ADAS), and they use a variety of
Achieving Fast-boot for ADAS and L2+ Automotive Systems Read More +
This blog post was originally published at Network Optix’ website. It is reprinted here with the permission of Network Optix. In this article we’re going to take a look at Edge computing and how Nx Meta can help your organization rapidly develop full-stack AI-enabled video management applications. First: The Opportunity One of the largest emerging
Use Nx Meta to Build Enterprise, AI-Enabled Video Solutions at the Edge Read More +
This blog post was originally published at Au-Zone Technologies’ website. It is reprinted here with the permission of Au-Zone Technologies. It wasn’t that long-ago computer vision applications with AI/ML intelligence required systems with extensive compute capability, lots of memory and high-end industrial cameras. The notion of adding computer vision with ML capability to cost sensitive
Visual Intelligence for IoT Read More +
This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. A partnership between Ambarella, Lumentum, and ON Semiconductor has resulted in a new series of hardware reference designs for biometric access control, 3D electronic locks, occupancy sensing and more. Building on our 2020 presentation on next-generation access
3D Sensing and AI Processing for Smart Buildings Read More +
This blog post was originally published at Intel’s website. It is reprinted here with the permission of Intel. In writing about the world-renowned guests on the Intel on AI podcast, I’ve mostly covered innovators outside of our company. In this blog, however, I’m pleased to be highlighting the work happening right here at Intel. In
How Intel is Advancing Human and AI Collaboration Read More +
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. AIMET now supports AdaRound and RNN quantization, plus a new GitHub open source project features code from prominent Qualcomm AI Research papers Over the past couple of years, we’ve been expanding our collaboration efforts by starting open-source
What’s New with Our AI Open Source: AIMET Enhancements and Code from Papers Read More +
This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. There are a number of common problems with object detection. For example, can your object detector detect people and horses in the following image? People on horses (Photo by Paul Chambers on Unsplash) What if the same
Overcome These 6 Problems with Object Detection Read More +
This blog post was originally published at AImotive’s website. It is reprinted here with the permission of AImotive. The AImotive Fleet has been an invaluable element of our work since day one, offering a real-world test platform, system-level know-how and time-to-market acceleration. Looking at the AImotive Fleet, some may believe at first glance that AImotive
Automating the Real World – The Power of the AImotive Fleet Read More +
This blog post was originally published at Texas Instruments’ website. It is reprinted here with the permission of Texas Instruments. Designing a power-efficient edge artificial intelligence (AI) system while achieving a faster time to market can become tedious in the absence of the right tools and software from an embedded processor vendor. Challenges include selecting
How to Simplify Your Embedded Edge AI Application Development Read More +
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