This blog post was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. Many companies waste millions of dollars and critical time-to-market because they make the wrong decision on a seemingly simple question: should you buy an off-the-shelf AI solution or build your own? If you’re an AI project owner […]
Navigating the AI Implementation Journey: Buy or Build? Read More +
This blog post was originally published at Geisel Software’s website. It is reprinted here with the permission of Geisel Software. Optimizing Edge AI Key Takeaways Instant Decisions, Real-World Impact: Edge AI empowers robots to react in milliseconds, enabling life-saving actions in critical scenarios like autonomous vehicle collision avoidance and rapid search-and-rescue missions. Unshakeable Reliability, Unbreachable
Optimizing Edge AI for Effective Real-time Decision Making in Robotics Read More +
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
Scalable Video Search: Cascading Foundation Models Read More +
For more information, visit https://www.idtechex.com/en/research-report/passenger-car-adas-market-2025-2045-technology-market-analysis-and-forecasts/1080. Global L2+/L3 feature adoption will exceed 50% by 2035. Over the past few years, Advanced Driver Assistance Systems (ADAS) have become a core competitive factor in the passenger vehicles market. In particular, “Level 2+” has emerged as a term describing advanced Level 2 ADAS with more sophisticated capabilities, such as
Passenger Car ADAS Market 2025-2045: Technology, Market Analysis, and Forecasts Read More +
This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. In today’s data-driven world, the ability to retrieve accurate information from even modest amounts of data is vital for developers seeking streamlined, effective solutions for quick deployments, prototyping, or experimentation. One of the key challenges in information retrieval
Building a Simple VLM-based Multimodal Information Retrieval System with NVIDIA NIM Read More +
This blog post was originally published at CLIKA’s website. It is reprinted here with the permission of CLIKA. Approaches to productionizing models for edge applications can vary greatly depending on user priorities, with some models not requiring model optimization at all. An organization can choose pre-existing models designed specifically for edge use cases with performance
Productionizing State-of-the-art Models at the Edge for Smart City Use Cases (Part I) Read More +
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. An essential partner to the embedded community, Qualcomm Technologies, Inc. strengthens its leadership in intelligent computing with several key announcements The AI revolution is sparking a wave of innovation in the embedded community, spawning a flurry of
Qualcomm at Embedded World: Accelerating Digital Transformation with Edge AI Read More +
This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. The quest for efficient and user-friendly solutions has led to the emergence of a game-changing concept: Automated Machine Learning (AutoML). AutoML is the process of automating the tasks involved in the entire Machine Learning lifecycle, such as data
AutoML Decoded: The Ultimate Guide and Tools Comparison Read More +
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)
Zero-Shot AI: The End of Fine-tuning as We Know It? Read More +
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,
3LC: What is It and Who is It For? Read More +
Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.
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