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Macnica Americas Announces Agreement with Sony to Distribute Sony Image Sensors

Will Enable Next-Gen Imaging Solutions Across AI, Robotics, Healthcare, and Beyond SOLANA BEACH, CALIFORNIA, December 3, 2024 – Macnica Americas today announced an expansion on its strategic agreement with Sony to now distribute its cutting-edge image sensors throughout North, Central, and South America. This collaboration further enhances our extensive imaging and vision solutions offering that […]

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NVIDIA Advances Robot Learning and Humanoid Development With New AI and Simulation Tools

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. New Project GR00T workflows and AI world model development technologies to accelerate robot dexterity, control, manipulation and mobility. Robotics developers can greatly accelerate their work on AI-enabled robots, including humanoids, using new AI and simulation tools and

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The Unseen Cost of Low Quality Large Datasets

This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. Your current data selection process may be limiting your models. ‍Massive datasets come with obvious storage and compute costs. But the two biggest challenges are often hidden: Money and Time. With increasing data volumes, companies have a

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How to Optimize and Accelerate Machine Vision Processing on GPUs

This blog post was originally published at Geisel Software’s website. It is reprinted here with the permission of Geisel Software. How to optimize and accelerate GPUS: tools, techniques, and real-world scenarios Machine learning (ML) systems analyze tremendous amounts of data to identify hidden patterns and make predictions based on those patterns. This requires a very

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Join e-con Systems’ Exclusive Webinar In Collaboration With Advantech

e-con Systems is excited to invite you to an exclusive joint webinar on “Unlocking AI at the Edge: How Embedded Vision Is Helping Take Giant Strides” in partnership with Advantech. Learn how embedded vision is transforming real-time decision-making across industries. Dec 17, 2024, Tuesday – 11:00 AM – 12:00 PM (CET) or Dec 18th, 2024,

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Qualcomm Technologies’ IoT Strategy: A New Approach, a New Opportunity

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Our new blueprint for enabling our partners and end customers to bring more smarts to the edge was one of the highlights of Investor Day Everything around us is either already a lot smarter or aiming to

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Why You Don’t Need Two Separate Cameras for RGB and IR Imaging in Remote Patient Monitoring

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. This blog post explores how RGB-IR cameras simplify remote patient monitoring (RPM) by eliminating the need for separate day and night cameras. It highlights their benefits, including compact design, reduced power consumption, and simultaneous RGB

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What is a Digital Twin and Why is It Important to IoT?

This blog post was originally published at eInfochips’ website. It is reprinted here with the permission of eInfochips. The Internet of Things and digital twins have a mutually beneficial relationship. IoT devices provide the real-time data that powers digital twins, while digital twins realize IoT data’s potential through monitoring, optimization, prediction, and decision support for

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NAMUGA Expands Vision Sensing Business, Aiming for $450 Million Revenue by 2027

November 25, 2024 – NAMUGA, a leader in camera-based sensing technologies, is expanding into four key markets: Augmented Reality (AR), Virtual Reality (VR), Mobility, and Biomedical sectors. By leveraging its advanced vision-sensing capabilities, the company targets annual revenues exceeding 600 billion KRW (approximately $450 million) by 2027. In an exclusive interview with The Electronic Times, NAMUGA

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Top 4 Computer Vision Problems & Solutions in Agriculture — Part 2

This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. In Part 1 of this series we introduced you with the top 4 issues you are likely to encounter in agriculture related datasets for object detection: occlusion, label quality, data imbalance and scale variation. ‍In Part 2

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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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