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Federated Learning: Risks and Challenges

This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. In the first article of our mini-series on Federated Learning (FL), Privacy-First AI: Exploring Federated Learning, we introduced the basic concepts behind the decentralized training approach, and we also presented potential applications in certain domains. Undoubtedly, FL […]

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Vision Components at SPIE Photonics West: MIPI Vision Components for RPi5 with Hailo TPU

Ettlingen, January 16, 2025.  Vision Components presents an expanded portfolio of its MIPI vision components at SPIE Photonics West, which takes place from January 27 to February 1, 2025 in San Francisco. For the first time, a demo will show the full support of the VC MIPI Cameras with the new Raspberry Pi 5 including

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Edge Intelligence and Interoperability are the Key Components Driving the Next Chapter of the Smart Home

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. The smart home industry is on the brink of a significant leap forward, fueled by generative AI and edge capabilities The smart home is evolving to include advanced capabilities, such as digital assistants that interact like friends

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NAMUGA Signs Strategic Partnership MOU with Singapore’s METAOPTICS, Pioneers of Metalens Technology

January 16, 2025 – NAMUGA CEO Don Lee (right) and METAOPTICS Technologies CEO Mark Thng signed the MOU, committing to future collaboration in applying metalens technology to AI vision solution modules. This partnership will focus on applications such as smartphone cameras, AR/VR devices, autonomous vehicles, and facial recognition systems using 3D sensing LiDAR. The companies

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Single- vs. Multi-camera Systems: The Ultimate Guide

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Single and multiple camera setups play a vital role in today’s vision systems, enhancing applications such as Automated sports broadcasting, Industrial robots, Traffic monitoring and more. Explore the key differences, advantages, and real-world applications of

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Accelerate Custom Video Foundation Model Pipelines with New NVIDIA NeMo Framework Capabilities

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Generative AI has evolved from text-based models to multimodal models, with a recent expansion into video, opening up new potential uses across various industries. Video models can create new experiences for users or simulate scenarios for training

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NVIDIA TAO Toolkit: How to Build a Data-centric Pipeline to Improve Model Performance  (Part 3 of 3)

This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. During this series, we will use Tenyks to build a data-centric pipeline to debug and fix a model trained with the NVIDIA TAO Toolkit. ‍Part 1. We demystify the NVIDIA ecosystem and define a data-centric pipeline based

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NAMUGA Signs Partnership MOU with Infineon

January 9, 2025 – NAMUGA Co., Ltd. (190510, KOSDAQ), a leading camera module supplier, has announced the signing of a partnership Memorandum of Understanding (MOU) with Infineon Technologies, a global leader in semiconductor solutions. The signing ceremony, held on January 9th (U.S. local time) at Infineon’s booth during CES, was attended by NAMUGA CEO Don

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