Resources
In-depth information about the edge AI and vision applications, technologies, products, markets and trends.
The content in this section of the website comes from Edge AI and Vision Alliance members and other industry luminaries.
All Resources
Partitioning Strategies to Optimize AI Inference for Multi-core Platforms
This blog post was originally published at Ceva’s website. It is reprinted here with the permission of Ceva. Not so long ago, AI inference at the edge was a novelty easily supported by a single
FRAMOS to Showcase Automation Solutions at the Largest Robotics and Automation Show in North America
15th of April 2024 – FRAMOS, a leading global expert in vision systems dedicated to innovation and excellence in enabling devices to see and think, is pleased to announce its presence at the Automate Show
Exploring the Impact of Generative AI: Identifying the Winners
This market research report was originally published at the Yole Group’s website. It is reprinted here with the permission of the Yole Group. Datacenter GPU and AI ASIC revenue could reach $156 billion by 2025
AI Chips and Chat GPT: Exploring AI and Robotics
AI chips can empower the intelligence of robotics, with future potential for smarter and more independent cars and robots. Alongside the uses of Chat GPT and chatting with robots at home, the potential for this
Quantization of Convolutional Neural Networks: Quantization Analysis
See “Quantization of Convolutional Neural Networks: Model Quantization” for the previous article in this series. In the previous articles in this series, we discussed quantization schemes and the effect of different choices on model accuracy.
The Rising Threat of Deepfakes: A Ticking Time Bomb for Society
In an era where reality seems increasingly malleable, the emergence of deepfake technology has catapulted us into uncharted territory. Deepfakes, synthetic digital media generated by artificial intelligence to manipulate images, audio, or video, pose a
Efficiently Packing Neural Network AI Model for the Edge
This blog post was originally published at Ceva’s website. It is reprinted here with the permission of Ceva. Packing applications into constrained on-chip memory is a familiar problem in embedded design, and is now equally
AI Decoded From GTC: The Latest Developer Tools and Apps Accelerating AI on PC and Workstation
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Next Chat with RTX features showcased, TensorRT-LLM ecosystem grows, AI Workbench general availability, and NVIDIA NIM microservices
The Rise of Generative AI: A Timeline of Breakthrough Innovations
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Explore the most pivotal advancements that shaped the landscape of generative AI From Alan Turing’s pioneering work
Technologies
DEEPX Expands First-generation AI Chips into Intelligent Security and Video Analytics Markets
Award-winning on-device AI chipmaker will pursue key industry partnerships to bolster this expansion; following a strong showing at ISC West, it will continue this momentum at Secutech Taipei, Embedded Vision Summit, and COMPUTEX 2024. TAIPEI and SEOUL, South Korea, April 23, 2024 /PRNewswire/ — DEEPX, an on-device AI semiconductor company, is announcing plans to expand
Oriented FAST and Rotated BRIEF (ORB) Feature Detection Speeds Up Visual SLAM
This blog post was originally published at Ceva’s website. It is reprinted here with the permission of Ceva. In the realm of smart edge devices, signal processing and AI inferencing are intertwined. Sensing can require intense computation to filter out the most significant data for inferencing. Algorithms for simultaneous localization and mapping (SLAM), a type
Achieving a Zero-incident Vision In Your Warehouse with Dragonfly
At Onit, we’re revolutionizing the efficiency and safety standards in warehouse environments through edge AI and computer vision. Leveraging our state-of-the-art Dragonfly and RTLS (real-time locating system) applications, we address the complex challenges inherent in chaotic and labor-intensive operations. Our Dragonfly technologies are taking workplace safety to new heights with the latest release of Dragonfly
Applications
Achieving a Zero-incident Vision In Your Warehouse with Dragonfly
At Onit, we’re revolutionizing the efficiency and safety standards in warehouse environments through edge AI and computer vision. Leveraging our state-of-the-art Dragonfly and RTLS (real-time locating system) applications, we address the complex challenges inherent in chaotic and labor-intensive operations. Our Dragonfly technologies are taking workplace safety to new heights with the latest release of Dragonfly
What Causes Blooming Artifacts in Microscopic Imaging and How to Prevent Them
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Advanced camera technologies are used with microscopes for diagnostics in the medical and life sciences industry. The occurrence of different types of imaging artifacts is a major challenge faced in microscopic imaging. Blooming or saturation
Here’s Why the SDV Market Will Be Worth $700 Billion by 2034
The SDV and AI Cars market is set to be worth over US$700 billion by 2034, representing around 20% of the global car market, according to IDTechEx‘s “Software-Defined Vehicles, Connected Cars, and AI in Cars 2024-2034” report. That sum can be sourced from several areas, such as monthly connectivity subscriptions, commission from in-vehicle payments, and
Functions
Oriented FAST and Rotated BRIEF (ORB) Feature Detection Speeds Up Visual SLAM
This blog post was originally published at Ceva’s website. It is reprinted here with the permission of Ceva. In the realm of smart edge devices, signal processing and AI inferencing are intertwined. Sensing can require intense computation to filter out the most significant data for inferencing. Algorithms for simultaneous localization and mapping (SLAM), a type
Achieving a Zero-incident Vision In Your Warehouse with Dragonfly
At Onit, we’re revolutionizing the efficiency and safety standards in warehouse environments through edge AI and computer vision. Leveraging our state-of-the-art Dragonfly and RTLS (real-time locating system) applications, we address the complex challenges inherent in chaotic and labor-intensive operations. Our Dragonfly technologies are taking workplace safety to new heights with the latest release of Dragonfly
Lemur Imaging Demonstration of High Quality Compression Compared to Standard Quantization Techniques
Noman Hashim, CEO of Lemur Imaging, demonstrates the company’s latest edge AI and vision technologies and products at the March 2024 Edge AI and Vision Alliance Forum. Specifically, Hashim demonstrates Lemur Imaging’s high-quality memory reduction (LMR) image compression technology on different networks, showing that compression outperforms quantization in edge AI subsystems. The image quality delivered