Blog Posts

Achieving High-speed Automatic Emergency Braking with AI-driven 4D Imaging Radar

Ambarella, Automotive, Blog Posts, Object Identification, Object Tracking, Processors, Sensors and Cameras /

This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. Across the globe, regulators are accelerating efforts to make roads safer through the widespread adoption of Automatic Emergency Braking (AEB). In the United States, the National Highway Traffic Safety Administration (NHTSA) implemented a sweeping regulation that requires […]

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Qualcomm Trends and Technologies to Watch In IoT and Edge AI

Algorithms, 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. “It’s amazing how Qualcomm was able to turn the ship on a dime since the last [Embedded World] show. The launch of Qualcomm Dragonwing and the Partner Day event were on point and helpful, showing Qualcomm’s commitment

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How Does a Forward-facing Camera Work, and What Are Its Use Cases in ADAS?

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. Forward-facing cameras are the proverbial eyes of Advanced Driver Assistance Systems (ADAS). They collect real-time visual data from the vehicle’s surroundings and monitor the road, contributing to the system’s overall situational awareness. They capture key

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Introducing NVFP4 for Efficient and Accurate Low-precision Inference

Algorithms, 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. To get the most out of AI, optimizations are critical. When developers think about optimizing AI models for inference, model compression techniques—such as quantization, distillation, and pruning—typically come to mind. The most common of the three, without

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Simplifying Vision AI Development with Renesas AI Model Deployer Powered by NVIDIA TAO

Algorithms, Blog Posts, NVIDIA, Processors, Renesas, Software, Tools /

This blog post was originally published at Renesas’ website. It is reprinted here with the permission of Renesas. Edge AI is no longer a futuristic idea—it’s an essential technology driving today’s smart devices across industries, from industrial automation to consumer IoT applications. But building AI applications at the edge still comes with challenges: complexity with

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The Outer Loop: The Real Driver of AI Success

Algorithms, Blog Posts, RapidFire AI, Software, Tools /

This blog post was originally published in expanded form at RapidFire AI’s website. It is reprinted here with the permission of RapidFire AI. When people talk about deep learning, they usually talk about the inner loop—the elegant dance of forward passes, backpropagation, and gradient descent. This is the part that’s been endlessly refined over the

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Low-power Computer Vision Challenge: Empowering AI Development on Edge Devices

Algorithms, 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. The Low-Power Computer Vision Challenge (LPCVC) is an annual competition organized by the Institute of Electrical and Electronics Engineers (IEEE) to improve the energy efficiency of computer vision technologies for systems with constrained resources. Established in 2015

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How to Select the Right Camera for Pick and Place Robots

Blog Posts, e-con Systems, Object Identification, Object Tracking, Robotics, 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. Pick and place robots handle repetitive, labor-intensive tasks. They help deliver high throughput and seamless workflows, thanks to camera solutions. Get expert insights on how cameras work in these robots, their challenges, use cases, and

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R²D²: Building AI-based 3D Robot Perception and Mapping with NVIDIA Research

Algorithms, Blog Posts, Multimodal, NVIDIA, Object Identification, Object Tracking, Processors, Robotics, Sensors and Cameras, Software, Tools /

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Robots must perceive and interpret their 3D environments to act safely and effectively. This is especially critical for tasks such as autonomous navigation, object manipulation, and teleoperation in unstructured or unfamiliar spaces. Advances in robotic perception increasingly

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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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