Blog Posts

Enterprise AI: Insights from Industry Leaders

This blog post was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. The potential of AI continues to captivate businesses, yet the reality of implementation often proves challenging. In our latest event, we explored the complex landscape of enterprise AI Adoption. Our expert panel cut through the hype, offering […]

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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

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High-performance AI In House: Qualcomm Dragonwing AI On-prem Appliance Solution and Qualcomm AI Inference Suite

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. The Qualcomm Dragonwing AI On-Prem Appliance Solution pairs with the software and services in the Qualcomm AI Inference Suite for AI inference that spans from near-edge to cloud. Together, they allow your small-to-medium business, enterprise or industrial

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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

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R²D²: Advancing Robot Mobility and Whole-body Control with Novel Workflows and AI Foundation Models from NVIDIA Research

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Welcome to the first edition of the NVIDIA Robotics Research and Development Digest (R2D2). This technical blog series will give developers and researchers deeper insight and access to the latest physical AI and robotics research breakthroughs across

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LLMOps Unpacked: The Operational Complexities of LLMs

This blog post was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. Incorporating a Large Language Model (LLM) into a commercial product is a complex endeavor, far beyond the simplicity of prototyping. As Machine Learning and Generative AI (GenAI) evolve, so does the need for specialized operational practices, leading

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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

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RGo Robotics Implements Vision-based Perception Engine on Qualcomm SoCs for Robotics Market

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Mobile robotics developers equip their machines to behave autonomously in the real world by generating facility maps, localizing within them and understanding the geometry of their surroundings. Machines like autonomous mobile robots (AMR), automated guided vehicles (AGV)

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A Comprehensive Guide to Understand Camera Projection and Parameters

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Understanding camera projection and parameters is essential for mapping the 3D world into a 2D representation. This blog delves into key concepts like camera projection, intrinsic and extrinsic parameters, and distortion correction, offering a clear

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Explaining Tokens — The Language and Currency of AI

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Under the hood of every AI application are algorithms that churn through data in their own language, one based on a vocabulary of tokens. Tokens are tiny units of data that come from breaking down bigger chunks

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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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