January 2026 DRAM Market Update
January 2026 DRAM Market Update Read More +
Sony Pregius IMX264 vs. IMX568: A Detailed Sensor Comparison Guide
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. The image sensor is an important component in defining the camera’s image quality. Many real-world applications pushed for smaller pixel sizes to increase resolution in compact form factors. To address this demand, Sony has been improving
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Upcoming Webinar on CSI-2 over D-PHY & C-PHY
On February 24, 2026, at 9:00 am PST (12:00 pm EST) MIPI Alliance will deliver a webinar “MIPI CSI-2 over D-PHY & C-PHY: Advancing Imaging Conduit Solutions” From the event page: MIPI CSI-2®, together with MIPI D-PHY™ and C-PHY™ physical layers, form the foundation of image sensor solutions across a wide range of markets, including
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What’s New in MIPI Security: MIPI CCISE and Security for Debug
This blog post was originally published at MIPI Alliance’s website. It is reprinted here with the permission of MIPI Alliance. As the need for security becomes increasingly more critical, MIPI Alliance has continued to broaden its portfolio of standardized solutions, adding two more specifications in late 2025, and continuing work on significant updates to the MIPI Camera
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Production-Ready, Full-Stack Edge AI Solutions Turn Microchip’s MCUs and MPUs Into Catalysts for Intelligent Real-Time Decision-Making
Chandler, Ariz., February 10, 2026 — A major next step for artificial intelligence (AI) and machine learning (ML) innovation is moving ML models from the cloud to the edge for real-time inferencing and decision-making applications in today’s industrial, automotive, data center and consumer Internet of Things (IoT) networks. Microchip Technology (Nasdaq: MCHP) has extended its edge AI offering
Accelerating next-generation automotive designs with the TDA5 Virtualizer™ Development Kit
This blog post was originally published at Texas Instruments’ website. It is reprinted here with the permission of Texas Instruments. Introduction Continuous innovation in high-performance, power-efficient systems-on-a-chip (SoCs) is enabling safer, smarter and more autonomous driving experiences in even more vehicles. As another big step forward, Texas Instruments and Synopsys developed a Virtualizer Development Kit™ (VDK) for the
Into the Omniverse: OpenUSD and NVIDIA Halos Accelerate Safety for Robotaxis, Physical AI Systems
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. NVIDIA Editor’s note: This post is part of Into the Omniverse, a series focused on how developers, 3D practitioners and enterprises can transform their workflows using the latest advancements in OpenUSD and NVIDIA Omniverse. New NVIDIA safety
What Sensor Fusion Architecture Offers for NVIDIA Orin NX-Based Autonomous Vision Systems
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Key Takeaways Why multi-sensor timing drift weakens edge AI perception How GNSS-disciplined clocks align cameras, LiDAR, radar, and IMUs Role of Orin NX as a central timing authority for sensor fusion Operational gains from unified time-stamping
Enhancing Images: Adaptive Shadow Correction Using OpenCV
This blog post was originally published at OpenCV’s website. It is reprinted here with the permission of OpenCV. Imagine capturing the perfect landscape photo on a sunny day, only to find harsh shadows obscuring key details and distorting colors. Similarly, in computer vision projects, shadows can interfere with object detection algorithms, leading to inaccurate results.
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Driving the Future of Automotive AI: Meet RoX AI Studio
This blog post was originally published at Renesas’ website. It is reprinted here with the permission of Renesas. In today’s automotive industry, onboard AI inference engines drive numerous safety-critical Advanced Driver Assistance Systems (ADAS) features, all of which require consistent, high-performance processing. Given that AI model engineering is inherently iterative (numerous cycles of ‘train, validate, and
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