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
Case Study: How an Enterprise Tech Team Went from Dozens to 2,000+ Fine-Tuning Configurations
This blog post was originally published in expanded form at RapidFire AI’s website. It is reprinted here with the permission of RapidFire AI. The Use Case An AI-forward team at a Fortune 500 enterprise tech company
Nota AI Wins Grand Prize at NVIDIA Nemotron Hackathon, Proving MoE Quantization Prowess with Synthetic Data Technology
Took 1st place in Track C and Grand Prize among all 20 competing teams with synthetic data generation technology specialized for MoE quantization Built a dataset using an agent based on Nemotron 3 Super120B, presenting a data-centric
Gateworks and NXP Powers the Future of the Industrial Edge with M.2 AI Acceleration Card
This news blog post was originally published at NXP Semiconductors’ website. It is reprinted here with the permission of NXP Semiconductors. Gateworks, an NXP Gold Partner, is a leader in embedded computing solutions for edge
New Synopsys.ai Copilots Deliver 2–5× Faster Chip Design Productivity
AI-assisted semiconductor design and verification is no longer just a concept. It is now a full-fledged reality that is delivering remarkable productivity gains. Five new Synopsys.ai Copilot assistants and advisors are now commercially available, putting expert-level guidance and
The rise of smarter robots and why memory is becoming their superpower
This blog post was originally published at Micron Technology’s website. It is reprinted here with the permission of Micron Technology. If it feels like robots are evolving faster than ever, that’s because they are. We’re watching
Accelerating AI Innovation at the Edge with the Ara240 Discrete Neural Processing Unit (NPU)
This blog post was originally published at NXP Semiconductors’ website. It is reprinted here with the permission of NXP Semiconductors. As AI workloads grow with larger, multimodal models and on-device generative and agentic AI, edge systems
Physical AI: From ST Sensors to a Robotics Platform, How Innovation Can Only Happen Through Collaboration
This blog post was originally published at STMicroelectronics’s website. It is reprinted here with the permission of STMicroelectronics. As technology aims to enable Physical AI, ST is sharing today how collaboration brought our sensors into a
Addressing Technical Challenges in Next-Gen Smart Lock Design
This blog post was originally published at Renesas’ website. It is reprinted here with the permission of Renesas. From Connectivity Standards Alliance’s Matter™ and Aliro™ to Biometric Authentication The growing demand for secure, easy-to-use, and seamlessly
Roadmap to Autonomous Manufacturing: An AI driven Approach Based on Engineering Foundations
This article was originally published at HCLTech’s website. It is reprinted here with the permission of HCL Tech. Autonomous manufacturing can be achieved through a structured journey built on foundational engineering, converged data and human-led
Technologies
Synetic Debuts LYNX Computer Vision SDK at the 2026 Embedded Vision Summit
New SDK helps teams add real-time vision capabilities to robotics, industrial automation, security and edge AI systems with faster deployment, flexible integration and continuous model improvement REDMOND, Wash. — May 11, 2026 — Synetic, Inc., a provider of computer vision and synthetic data solutions for real-world AI systems, today announced the debut of LYNX, a
What is a spatial filter, and how does it enhance Depth Quality in ToF Cameras?
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Time-of-Flight (ToF) cameras generate depth maps by measuring the phase shift between emitted near-infrared light and its reflection. Each pixel records the shift, which is then converted into distance information. But raw depth maps tend to contain
Renesas Completes Acquisition of Irida Labs to Expand Vision AI Software Capabilities and Accelerates System-Level Vision Solutions
TOKYO, Japan ― Renesas Electronics Corporation (TSE:6723, “Renesas”), a premier supplier of advanced semiconductor solutions, today announced that a subsidiary of Renesas has completed the acquisition of Irida Labs, a Greece-based company specializing in embedded software for AI-powered visual perception systems. The acquisition strengthens Renesas’ edge AI embedded processing offerings, a key secular growth area for Renesas. It also enables system-level solutions that integrate physical AI and software to power camera and machine
Applications
Physical AI: 8 Questions Every Engineering Leader Is Asking
This blog post was originally published at Geisel Software’s website. It is reprinted here with the permission of Geisel Software. Jensen Huang called it at CES 2025: “The next frontier of AI is physical.” Since then, the phrase has been everywhere — in investor decks, conference keynotes, and vendor pitches. But for the software engineering managers, directors, VPs, and
Chips&Media Completes Development of Next-Gen ‘AV2’ HW Decoder IP
Key Takeaways: Implementing AOMedia’s latest AV2 standard as world-class HW IP, leading the next-gen video ecosystem Targeting the North American Big Tech-led OTT market (YouTube, Netflix) and solidifying the justification for global standard adoption HW RTL release in May with active commercial licensing talks underway with major North American clients May 12, 2026 – Chips&Media
Everything Is Going to Be Driven by Algorithms
This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. A security camera on a warehouse loading dock captures 86,400 seconds of video every day. A fleet telematics recorder on a long-haul truck accumulates gigabytes of road footage between fuel stops. A surgical robot’s stereo cameras generate
Functions
AI On: 3 Ways to Bring Agentic AI to Computer Vision Applications
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Learn how to integrate vision language models into video analytics applications, from AI-powered search to fully automated video analysis. Today’s computer vision systems excel at identifying what happens in physical spaces and processes, but lack the abilities to explain the
SAM3: A New Era for Open‑Vocabulary Segmentation and Edge AI
Quality training data – especially segmented visual data – is a cornerstone of building robust vision models. Meta’s recently announced Segment Anything Model 3 (SAM3) arrives as a potential game-changer in this domain. SAM3 is a unified model that can detect, segment, and even track objects in images and videos using both text and visual
TLens vs VCM Autofocus Technology
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. In this blog, we’ll walk you through how TLens technology differs from traditional VCM autofocus, how TLens combined with e-con Systems’ Tinte ISP enhances camera performance, key advantages of TLens over mechanical autofocus systems, and applications
