This blog post was originally published at Ceva’s website. It is reprinted here with the permission of Ceva. Not so long ago, AI inference at the edge was a novelty easily supported by a single NPU IP accelerator embedded in the edge device. Expectations have accelerated rapidly since then. Now we want embedded AI inference […]
Partitioning Strategies to Optimize AI Inference for Multi-core Platforms Read More +
This blog post was originally published at Ceva’s website. It is reprinted here with the permission of Ceva. Packing applications into constrained on-chip memory is a familiar problem in embedded design, and is now equally important in compacting neural network AI models into a constrained storage. In some ways this problem is even more challenging
Efficiently Packing Neural Network AI Model for the Edge Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Next Chat with RTX features showcased, TensorRT-LLM ecosystem grows, AI Workbench general availability, and NVIDIA NIM microservices launched. Editor’s note: This post is part of the AI Decoded series, which demystifies AI by making the technology more
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Explore the most pivotal advancements that shaped the landscape of generative AI From Alan Turing’s pioneering work to the cutting-edge transformers of the present, the field of generative artificial intelligence (AI) has witnessed remarkable breakthroughs — and
The Rise of Generative AI: A Timeline of Breakthrough Innovations Read More +
AI applications have an endless hunger for computational power. Currently, increasing the sizes of the models and cranking up the number of parameters has not quite yet reached the point of diminishing returns and thus the ever growing models still yield better performance than their predecessors. At the same time, new areas for application of
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. As an easy-to-use camera management platform, CloVis Central enables remote monitoring, configuration, and control of multiple cameras. In turn, this provides intelligent solutions for managing visual data across various applications. Paired with the e-con Systems’
CloVis Central : A Cloud-based Device Management Platform Read More +
This blog post was originally published at TechNexion’s website. It is reprinted here with the permission of TechNexion. 3D scanning finds applications in multiple domains such as textile design, 3D printing, home remodeling, virtual reality, manufacturing, etc. Medical science hugely benefits from camera-enabled 3D scanning given that it is a non-invasive technique. 3D scanning is
Multi-camera 3D Scanning in Medical Applications Using Embedded Cameras Read More +
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Find out how Qualcomm AI Research reduced the latency of generative AI Generative artificial intelligence (AI) is rapidly changing the way we create images, videos, and even three-dimensional (3D) content. Leveraging the power of machine learning, generative
How to Enable Efficient Generative AI for Images and Videos Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. RTX AI PCs and workstations deliver exclusive AI capabilities and peak performance for gamers, creators, developers and everyday PC users. With the 2018 launch of RTX technologies and the first consumer GPU built for AI — GeForce
AI Decoded: Demystifying AI and the Hardware, Software and Tools That Power It Read More +
This blog post was originally published at TechNexion’s website. It is reprinted here with the permission of TechNexion. In embedded vision applications, one of the most ignored parameters when it comes to camera integration is sensor-lens matching. It is not enough for the image sensor and the lens to have their own individual features. It
Matching Image Sensor and Lens – the What and the How Read More +
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