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Blog Posts

AI Decoded: Demystifying Large Language Models, the Brains Behind Chatbots

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Explore what LLMs are, why they matter and how to use them. Editor’s note: This post is part of our AI Decoded series, which aims to demystify AI by making the technology more accessible, while showcasing new […]

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What Causes Blooming Artifacts in Microscopic Imaging and How to Prevent Them

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Advanced camera technologies are used with microscopes for diagnostics in the medical and life sciences industry. The occurrence of different types of imaging artifacts is a major challenge faced in microscopic imaging. Blooming or saturation

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Arm’s Mission to Help Tackle AI’s Insatiable Energy Needs

This blog post was originally published at Arm’s website. It is reprinted here with the permission of Arm. The challenge (and opportunity) of powering workloads in the AI datacenter AI has the potential to exceed all the transformative innovations created in the past century. The benefits to society around health care, productivity, education and many

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How Embedded Vision is Helping Build Smart Buses of the Future

This blog post was originally published at TechNexion’s website. It is reprinted here with the permission of TechNexion. The transportation sector has always been at the forefront of technological advancements, and the emergence of the “Smart Bus” system is a testament to this evolution. This innovative system is not just about enhancing the passenger experience

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Partitioning Strategies to Optimize AI Inference for Multi-core Platforms

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

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Efficiently Packing Neural Network AI Model for the Edge

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

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AI Decoded From GTC: The Latest Developer Tools and Apps Accelerating AI on PC and Workstation

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

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The Rise of Generative AI: A Timeline of Breakthrough Innovations

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

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Axelera Uses oneAPI Construction Kit to Rapidly Enable Open Standards Programming for the Metis AIPU

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

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CloVis Central : A Cloud-based Device Management Platform

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’

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