This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Our papers, demos, workshops and tutorial continue our leadership in generative AI and learning systems At Qualcomm AI Research, we are advancing AI to make its core capabilities — perception, reasoning and action — ubiquitous across devices. […]
AI and Computer Vision Insights at CVPR 2025 Read More +
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Fleet camera systems increase a vehicle’s operational safety by capturing real-time footage of the cabin, driver behavior, and vehicle surroundings while in transit. Fleet camera systems come with dashcams, 360-degree surround view systems, interior cameras,
How to Choose the Right Fleet Camera System Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Conservationists have launched a new AI tool that can sift through petabytes of underwater imaging from anywhere in the world to identify signs of abandoned or lost fishing nets—so-called ghost nets. Each year, around 2% of the
AI Helps Locate Dangerous Fishing Nets Lost at Sea Read More +
This blog post was originally published at Geisel Software’s website. It is reprinted here with the permission of Geisel Software. What is agentic AI? It refers to intelligent systems that can autonomously set goals, make decisions, and execute tasks without constant human input. It marks a significant shift from reactive chatbots to proactive, mission-oriented AI
What Is Agentic AI? A Complete Guide to the Future of Autonomous Intelligence Read More +
This blog post was originally published at Nota AI’s website. It is reprinted here with the permission of Nota AI. This study proposes an AI model preprocessing method for improved quantization accuracies on edge AI devices which do not support advanced quantization methods due to their limitations. By splitting layers based on parameter clustering, the
SplitQuant: Layer Splitting for Low-bit Neural Network Quantization for Edge AI Devices Read More +
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Our demo shows the power of on-device AI and why smart glasses make the ideal AI user interface Gabby walks into a gym while carrying a smartphone and wearing a pair of smart glasses. Unsure of where
We Built a Personalized, Multimodal AI Smart Glass Experience — Watch It Here Read More +
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Shelf monitoring systems are critical for maintaining stock levels, improving product availability, and helping display correct promotions and pricing. Learn how these systems are used in real-world scenarios and how to choose the right set
How Vision-based Shelf Monitoring Helps Retailers Read More +
This blog post is derived from a joint press release by Airy3D and Seeing Machines. It is reprinted here with the permission of Airy3D. A four-year partnership between Airy3D Inc., a Montreal based 3D technology company, and Seeing Machines, an advanced computer vision technology company that designs AI-powered operator monitoring systems to improve transport safety,
3D Sensing for In-cabin Monitoring Read More +
This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. Fifteen years ago, before we were acquired by Ambarella and became one of the company’s automotive R&D centers, VisLab sent four driverless vehicles from Parma to Shanghai. Traveling over 15,000 kilometers from July to October of 2010,
This blog post was originally published at Nota AI’s website. It is reprinted here with the permission of Nota AI. Delivers real-time AI performance on edge devices such as smartphones, IoT devices, and embedded systems. Introduces a novel “Reuse Attention” technique that minimizes redundant computations in Multi-Head Attention. Achieves competitive accuracy and significant inference speed
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