Blog Posts

NanoEdge AI Studio v5, the First AutoML Tool with Synthetic Data Generation

Algorithms & Models, Blog Posts, Processors, Sensors and Cameras, Software, STMicroelectronics, Tools /

This blog post was originally published at STMicroelectronics’ website. It is reprinted here with the permission of STMicroelectronics. NanoEdge AI Studio v5 is the first AutoML tool for STM32 microcontrollers capable of generating anomaly data out of typical logs, thanks to a new feature we call Synthetic Data Generation. Additionally, the latest version makes it […]

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Task-specific AI vs Generic LLMs: Why Precision and Reliability Matter

Algorithms & Models, Blog Posts, Rapidflare, Software, Tools /

This blog post was originally published at Rapidflare’s website. It is reprinted here with the permission of Rapidflare. Task-specific AI is redefining what’s possible in mission-critical industries. While generic large language models (LLMs) like ChatGPT excel at broad conversations, they often struggle with accuracy, consistency, and domain-specific context. In sectors where precision and reliability are

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Snapdragon Stories: Four Ways AI Has Improved My Life

Algorithms & Models, Blog Posts, Multimodal, Processors, Qualcomm, Software, Tools /

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. I’ve used AI chat bots here and there, mostly for relatively simple and very specific tasks. But, I was underutilizing — and underestimating — how AI can quietly yet significantly reshape everyday moments. I don’t want to

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Open-source Physics Engine and OpenUSD Advance Robot Learning

Algorithms & Models, Blog Posts, Multimodal, NVIDIA, Processors, Robotics, Software, Tools /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. The Newton physics engine and enhanced NVIDIA Isaac GR00T models enable developers to accelerate robot learning through unified OpenUSD simulation workflows. Editor’s note: This blog is a part of Into the Omniverse, a series focused on how

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Breaking Free from the CUDA Lock-in

Algorithms & Models, Blog Posts, NVIDIA, Processors, SiMa.ai, Software, Tools /

This blog post was originally published at SiMa.ai’s website. It is reprinted here with the permission of SiMa.ai. The AI hardware landscape is dominated by one uncomfortable truth: most teams feel trapped by CUDA. You trained your models on NVIDIA GPUs, deployed them with TensorRT, and now the thought of switching hardware feels like rewriting

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Ambarella Redefines Edge AI Performance with Cadence

Ambarella, Blog Posts, Cadence, Processors /

This blog post was originally published at Cadence’s website. It is reprinted here with the permission of Cadence. Ambarella stands at the forefront of edge AI processing, pioneering low-power, high-performance systems on chip (SoCs) that power a new generation of smart devices. Ambarella’s mission is to enable intelligence at the edge, from automotive systems that

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Using the Qualcomm AI Inference Suite from Google Colab

Algorithms & Models, Blog Posts, Processors, Qualcomm, Software, Tools /

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Building off of the blog post here, which shows how easy it is to call the Cirrascale AI Inference Cloud using the Qualcomm AI Inference Suite, we’ll use Google Colab to show the same scenario. In the previous blog

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How Do Speed Cameras Make the Roads Safer?

Automotive, Blog Posts, e-con Systems, Object Identification, Object Tracking, Sensors and Cameras /

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Speed cameras play a crucial role in promoting safer roads. They can detect, capture, and record instances of speeding. Get insights into how these cameras work and their major road safety use cases. Managing road

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Deploy High-performance AI Models in Windows Applications on NVIDIA RTX AI PCs

Algorithms & Models, Blog Posts, NVIDIA, Processors, Software, Tools /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Microsoft is now making Windows ML available to developers. Windows ML enables C#, C++ and Python developers to optimally run AI models locally across PC hardware from CPU, NPU and GPUs. On NVIDIA RTX GPUs, it utilizes

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SiMa.ai and Enclustra: Redefining Solutions for Physical AI

Blog Posts, Processors, SiMa.ai /

This blog post was originally published at SiMa.ai’s website. It is reprinted here with the permission of SiMa.ai. At SiMa.ai and Enclustra, we don’t build products to follow trends – we engineer platforms that redefine them. Our collaboration is a prime example. By combining SiMa’s groundbreaking MLSoC™ Modalix with Enclustra’s proven SoM design expertise, we

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Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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