Software for Embedded Vision
“Integrating Cameras with the Robot Operating System (ROS),” a Presentation from Amazon Lab126
Karthik Poduval, Principal Software Development Engineer at Amazon Lab126, presents the “Integrating Cameras with the Robot Operating System (ROS)” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Poduval explores the integration of cameras within the Robot Operating System (ROS) for robust embedded vision applications. He delves into… “Integrating Cameras with the Robot
LLiMa: Real-time Edge Generative AI Under 10W, Built for You
This blog post was originally published at SiMa.ai’s website. It is reprinted here with the permission of SiMa.ai. LLiMa represents a paradigm shift in physical AI deployment that fundamentally changes how enterprises approach GenAI integration, enabling real Physical AI. While competitors typically offer pre-optimized models that were manually tuned for specific hardware configurations, LLiMa takes
“Using Computer Vision for Early Detection of Cognitive Decline via Sleep-wake Data,” a Presentation from AI Tensors
Ravi Kota, CEO of AI Tensors, presents the “Using Computer Vision for Early Detection of Cognitive Decline via Sleep-wake Data” tutorial at the May 2025 Embedded Vision Summit. AITCare-Vision predicts cognitive decline by analyzing sleep-wake disorders data in older adults. Using computer vision and motion sensors coupled with AI algorithms,… “Using Computer Vision for Early
How Synthetic Datasets are Revolutionizing AI Training Across Industries
This blog post was originally published at Geisel Software’s Symage website. It is reprinted here with the permission of Geisel Software. Synthetic data is becoming increasingly integral to AI and analytics, with many projects now incorporating these datasets. While synthetic data generated using generative AI techniques offers valuable insights, simulation-based synthetic datasets enhance this process
“AI-powered Scouting: Democratizing Talent Discovery in Sports,” a Presentation from ai.io
Jonathan Lee, Chief Product Officer at ai.io, presents the “AI-powered Scouting: Democratizing Talent Discovery in Sports,” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Lee shares his experience using AI and computer vision to revolutionize talent identification in sports. By developing aiScout, a platform that enables athletes… “AI-powered Scouting: Democratizing Talent Discovery
Capgemini Leverages Qualcomm Dragonwing Portfolio to Enhance Railway Monitoring with Edge AI
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. AI device powered by Qualcomm Dragonwing boosts productivity and reduces cloud dependence in Capgemini’s monitoring application for grade crossings Capgemini moved from their previous hardware solution to an edge AI device powered by the Qualcomm® Dragonwing™ QCS6490
“Vision-based Aircraft Functions for Autonomous Flight Systems,” a Presentation from Acubed (an Airbus Innovation Center)
Arne Stoschek, Vice President of AI and Autonomy at Acubed (an Airbus innovation center), presents the “Vision-based Aircraft Functions for Autonomous Flight Systems” tutorial at the May 2025 Embedded Vision Summit. At Acubed, an Airbus innovation center, the mission is to accelerate AI and autonomy in aerospace. Stoschek gives an… “Vision-based Aircraft Functions for Autonomous
“Edge AI and Vision at Scale: What’s Real, What’s Next, What’s Missing?,” An Embedded Vision Summit Expert Panel Discussion
Sally Ward-Foxton, Senior Reporter at EE Times, moderates the “Edge AI and Vision at Scale: What’s Real, What’s Next, What’s Missing?” Expert Panel at the May 2025 Embedded Vision Summit. Other panelists include Chen Wu, Director and Head of Perception at Waymo, Vikas Bhardwaj, Director of AI in the Reality… “Edge AI and Vision at
Hot Topics at Hot Chips: Inference, Networking, AI Innovation at Every Scale — All Built on NVIDIA
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. At the conference in Palo Alto, California, NVIDIA experts detail how NVIDIA NVLink and Spectrum-X Ethernet technologies, Blackwell and CUDA accelerate inference for millions of AI workflows across the globe. AI reasoning, inference and networking will be
“A View From the 2025 Embedded Vision Summit (Part 2),” a Presentation from the Edge AI and Vision Alliance
Jeff Bier, Founder of the Edge AI and Vision Alliance, welcomes attendees to the May 2025 Embedded Vision Summit on May 22, 2025. Bier provides an overview of the edge AI and vision market opportunities, challenges, solutions and trends. He also introduces the Edge AI and Vision Alliance and the… “A View From the 2025
“A View From the 2025 Embedded Vision Summit (Part 1),” a Presentation from the Edge AI and Vision Alliance
Jeff Bier, Founder of the Edge AI and Vision Alliance, welcomes attendees to the May 2025 Embedded Vision Summit on May 21, 2025. Bier provides an overview of the edge AI and vision market opportunities, challenges, solutions and trends. He also introduces the Edge AI and Vision Alliance and the… “A View From the 2025
“The Future of Visual AI: Efficient Multimodal Intelligence,” a Keynote Presentation from Trevor Darrell
Trevor Darrell, Professor at the University of California, Berkeley, presents the “Future of Visual AI: Efficient Multimodal Intelligence” tutorial at the May 2025 Embedded Vision Summit. AI is on the cusp of a revolution, driven by the convergence of several breakthroughs. One of the most significant of these advances is… “The Future of Visual AI:
Akida Exploits Sparsity For Low Power in Neural Networks
This blog post was originally published at BrainChip’s website. It is reprinted here with the permission of BrainChip. In the rapidly evolving field of artificial intelligence, edge computing has become increasingly vital for deploying intelligent systems in real-world environments where power, latency, and bandwidth are limited: we need neural network models to run efficiently. For
5 Key Questions about Synthetic Data Every Data Scientist Should Know
This blog post was originally published at Geisel Software’s Symage website. It is reprinted here with the permission of Geisel Software. In this article, we tackle the 5 key questions about synthetic data that every data scientist must understand to stay ahead in the rapidly evolving world of AI. From its creation process to its
Snapdragon Ride: A Foundational Platform for Automakers to Scale with the ADAS Market
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. The automotive industry is well into the transformation of vehicle architectures and consumer-driven experiences. As the demand for advanced driver assistance systems (ADAS) technologies continues to soar, Qualcomm Technologies’ cutting-edge Snapdragon Ride Platforms are setting a new standard for automotive
“The New OpenCV 5.0: Added Features, Performance Improvements and Future Directions,” a Presentation from OpenCV.org
Satya Mallick, CEO of OpenCV.org, presents the “New OpenCV 5.0: Added Features, Performance Improvements and Future Directions” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Mallick delves into the latest version of OpenCV, the world’s most popular open-source computer vision library. He highlights the major innovations and… “The New OpenCV 5.0: Added
Maximize Robotics Performance by Post-training NVIDIA Cosmos Reason
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. First unveiled at NVIDIA GTC 2025, NVIDIA Cosmos Reason is an open and fully customizable reasoning vision language model (VLM) for physical AI and robotics. The VLM enables robots and vision AI agents to reason using prior
“Introduction to Shrinking Models with Quantization-aware Training and Post-training Quantization,” a Presentation from NXP Semiconductors
Robert Cimpeanu, Machine Learning Software Engineer at NXP Semiconductors, presents the “Introduction to Shrinking Models with Quantization-aware Training and Post-training Quantization” tutorial at the May 2025 Embedded Vision Summit. In this presentation, Cimpeanu explains two neural network quantization techniques, quantization-aware training (QAT) and post-training quantization (PTQ), and explain when to… “Introduction to Shrinking Models with
