This blog post was originally published at Nota AI’s website. It is reprinted here with the permission of Nota AI. With the introduction of NVFP4—a new 4-bit floating point data type in NVIDIA’s Blackwell GPU architecture—LLM inference achieves markedly improved efficiency. Blackwell’s NVFP4 format (RTX PRO 6000) delivers up to 2× higher LLM inference efficiency […]
NVIDIA Blackwell: The Impact of NVFP4 For LLM Inference Read More +
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Communication protocols are a key consideration for high-resolution, high-frame-rate imaging in embedded vision applications. In this blog, we’ll explore how control and data buses enable seamless transmission and timely, synchronized imaging for high-performance embedded applications.
An Engineer’s Guide on Data and Control Buses of Imaging Systems Read More +
This blog post was originally published at Plainsight Technologies’ website. It is reprinted here with the permission of Plainsight Technologies. I have joined Plainsight Technologies as CEO to do something radical: not steal your data. Vision is our most powerful sense. We navigate the world, recognize faces, assess our surroundings, operate vehicles, and make split-second
Don’t Give Your Business Data to AI Companies Read More +
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
NanoEdge AI Studio v5, the First AutoML Tool with Synthetic Data Generation Read More +
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
Task-specific AI vs Generic LLMs: Why Precision and Reliability Matter Read More +
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
Snapdragon Stories: Four Ways AI Has Improved My Life Read More +
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
Open-source Physics Engine and OpenUSD Advance Robot Learning Read More +
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
Breaking Free from the CUDA Lock-in Read More +
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
Ambarella Redefines Edge AI Performance with Cadence Read More +
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
Using the Qualcomm AI Inference Suite from Google Colab Read More +
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