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 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
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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 +
Frank Moesle, Software Department Manager at Valeo, talks with Independent Journalist Junko Yoshida for the “Three Big Topics in Autonomous Driving and ADAS” interview at the May 2025 Embedded Vision Summit. In this on-stage interview, Moesle and Yoshida focus on trends and challenges in automotive technology, autonomous driving and ADAS.… “Three Big Topics in Autonomous
“Three Big Topics in Autonomous Driving and ADAS,” an Interview with Valeo 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 +
Frank Moesle, Software Department Manager at Valeo, presents the “Toward Hardware-agnostic ADAS Implementations for Software-defined Vehicles” tutorial at the May 2025 Embedded Vision Summit. ADAS (advanced-driver assistance systems) software has historically been tightly bound to the underlying system-on-chip (SoC). This software, especially for visual perception, has been extensively optimized for… “Toward Hardware-agnostic ADAS Implementations for
Enterprise Technology Leader Brings Experience Leading Transformational Change as Computer Vision AI Innovator Moves to Next Phase of Platform Innovation SEATTLE — October 14, 2025 — Plainsight, a leader in computer vision AI solutions, today announced the appointment of Venky Renganathan as its new Chief Technology Officer (CTO). Renganathan is an enterprise technology leader with
Plainsight Appoints Venky Renganathan as Chief Technology Officer Read More +
Proven enterprise leader brings expertise in managing privately-held companies during hyper-growth in machine learning, infrastructure software and open source. SEATTLE — September 30, 2025 — Plainsight, the leader in operationalizing computer vision through its pioneering modern computer vision infrastructure, today announced Jonathan Simkins as its President and CFO. In this role, Simkins will help scale
Plainsight Names Jonathan Simkins as President & CFO 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 +
Sage Elliott, AI Engineer at Union.ai, presents the “Object Detection Models: Balancing Speed, Accuracy and Efficiency,” tutorial at the May 2025 Embedded Vision Summit. Deep learning has transformed many aspects of computer vision, including object detection, enabling accurate and efficient identification of objects in images and videos. However, choosing the… “Object Detection Models: Balancing Speed,
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