Yong Jae Lee, Associate Professor in the Department of Computer Sciences at the University of Wisconsin-Madison and CEO of GivernyAI, presents the “Learning to Understand Our Multimodal World with Minimal Supervision” tutorial at the May 2024 Embedded Vision Summit. The field of computer vision is undergoing another profound change. Recently,… “Understand the Multimodal World with […]
Florian Domengie, Senior Technology and Market Analyst at the Yole Group, presents the “Market and Technology Trends in Automotive ADAS” tutorial at the May 2024 Embedded Vision Summit. In this talk, Domengie takes an in-depth look at the rapidly advancing and fast-growing space of driver assistance and autonomous driving. He… “Market and Technology Trends in
“Market and Technology Trends in Automotive ADAS,” a Presentation from the Yole Group Read More +
Nikita Tiwari, AI Enabling Engineer for OEM PC Experiences in the Client Computing Group at Intel, presents the “Identifying and Mitigating Bias in AI” tutorial at the May 2024 Embedded Vision Summit. From autonomous driving to immersive shopping, and from enhanced video collaboration to graphic design, AI is placing a… “Identifying and Mitigating Bias in
“Identifying and Mitigating Bias in AI,” a Presentation from Intel Read More +
Amit Mate, Founder and CEO of GMAC Intelligence presents the “Fundamentals of Training AI Models for Computer Vision Applications” tutorial at the May 2024 Embedded Vision Summit. In this presentation, Mate introduces the essential aspects of training convolutional neural networks (CNNs). He discusses the prerequisites for training, including models, data… “The Fundamentals of Training AI
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. A Snapdragon Insider chats with Qualcomm Technologies’ Said Bakadir about the future of smart glasses and Qualcomm Technologies’ role in turning it into a critical AI tool Artificial intelligence (AI) is increasingly winding its way through our
Snapdragon Powers the Future of AI in Smart Glasses. Here’s How Read More +
Sébastien Taylor, Vice President of Research and Development for Au-Zone Technologies, presents the “Introduction to Semantic Segmentation” tutorial at the May 2024 Embedded Vision Summit. Vision applications often rely on object detectors, which determine the nature and location of objects in a scene. But many vision applications require a different… “An Introduction to Semantic Segmentation,”
“An Introduction to Semantic Segmentation,” a Presentation from Au-Zone Technologies Read More +
On September 10, 2024 at 9:00 am PT (noon ET), Alliance Member companies Ceva and Visionary.ai will deliver the free webinar “Can AI Make Cameras See In the Dark? Real-Time Video Enhancement.” From the event page: As cameras become ubiquitous in applications such as surveillance, mobile, drones, and automotive systems, achieving clear vision 24/7 under
Upcoming Webinar Explores How AI Can Make Cameras See In the Dark Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. NVIDIA has announced the latest v0.15 release of NVIDIA TensorRT Model Optimizer, a state-of-the-art quantization toolkit of model optimization techniques including quantization, sparsity, and pruning. These techniques reduce model complexity and enable downstream inference frameworks like NVIDIA
Dwith Chenna, Member of the Technical Staff and Product Engineer for AI Inference at AMD, presents the “DNN Quantization: Theory to Practice” tutorial at the May 2024 Embedded Vision Summit. Deep neural networks, widely used in computer vision tasks, require substantial computation and memory resources, making it challenging to run… “DNN Quantization: Theory to Practice,”
“DNN Quantization: Theory to Practice,” a Presentation from AMD Read More +
Hiram Rayo Torres Rodriguez, Senior AI Research Engineer at NXP Semiconductors, presents the “Leveraging Neural Architecture Search for Efficient Computer Vision on the Edge” tutorial at the May 2024 Embedded Vision Summit. In most AI research today, deep neural networks (DNNs) are designed solely to improve prediction accuracy, often ignoring… “Leveraging Neural Architecture Search for
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