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The listing below showcases the most recently published content associated with various AI and visual intelligence functions.
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Visual Intelligence: Foundation Models + Satellite Analytics for Deforestation (Part 2)
This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. In Part 2, we explore how Foundation Models can be leveraged to track deforestation patterns. Building upon the insights from our Sentinel-2 pipeline and Central Balkan case study, we dive into the revolution that foundation models have
A New Standard in Facial Recognition Security: Multispectral Imaging Technology
This blog post was originally published at Namuga Vision Connectivity’s website. It is reprinted here with the permission of Namuga Vision Connectivity. Traditional facial recognition technology has greatly enhanced both convenience and security. However, it still struggles to differentiate between real faces and sophisticated forgeries like silicone masks, printed photos and 3D models. Enter MultiSpectral
Visual Intelligence: Foundation Models + Satellite Analytics for Deforestation (Part 1)
This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. Satellite imagery has revolutionized how we monitor Earth’s forests, offering unprecedented insights into deforestation patterns. In this two-part series, we explore both traditional and cutting-edge approaches to forest monitoring, using Bulgaria’s Central Balkan National Park as our
Andes Technology Demonstration of Its RISC-V IP in a Spherical Image Processor and Meta’s AI Accelerator
Marc Evans, Director of Business Development and Marketing at Andes Technology, demonstrates the company’s latest edge AI and vision technologies and products at the March 2025 Edge AI and Vision Alliance Forum. Specifically, Evans demonstrates the company’s RISC-V semiconductor processor IP, which enables customers to develop leading SoCs for AI, computer vision and other market
Radar-enhanced Safety for Advancing Autonomy
Front and side radars may have different primary uses and drivers for their innovation, but together, they form a vital part of ADAS for autonomous vehicles. IDTechEx‘s report, “Automotive Radar Market 2025-2045: Robotaxis & Autonomous Cars“, showcases the latest radar developments and explores autonomy leveling up as a result, with Level 2+ asserting itself within
Scalable Video Search: Cascading Foundation Models
This article was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. Video has become the lingua franca of the digital age, but its ubiquity presents a unique challenge: how do we efficiently extract meaningful information from this ocean of visual data? In Part 1 of this series, we navigate
Digica Collaborates with Toradex to Enhance Interactive Robotics with AI-driven Object Recognition on Torizon
March 7, 2025 – Digica, a leader in AI-driven solutions, is excited to announce its collaboration with Toradex to develop an advanced robotics system featuring real-time object recognition and dynamic change of user interface display. This collaboration integrates cutting-edge computer vision technology with interactive robotics, pushing the boundaries of human-machine interaction. Toradex, a leading provider
Zero-Shot AI: The End of Fine-tuning as We Know It?
This article was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. Models like SAM 2, LLaVA or ChatGPT can do tasks without special training. This has people wondering if the old way (i.e., fine-tuning) of training AI is becoming outdated. In this article, we compare two models: YOLOv8 (fine-tuning)
3LC: What is It and Who is It For?
This blog post was originally published at 3LC’s website. It is reprinted here with the permission of 3LC. AI performance isn’t just about better architectures or more compute – it’s about better data. Even perfectly labeled datasets can hold hidden inefficiencies that limit accuracy. See how teams use 3LC to refine datasets, optimize labeling strategies,
Vision Language Model Prompt Engineering Guide for Image and Video Understanding
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Vision language models (VLMs) are evolving at a breakneck speed. In 2020, the first VLMs revolutionized the generative AI landscape by bringing visual understanding to large language models (LLMs) through the use of a vision encoder. These
