Blog Posts

Trust What You See: How Truepic Authenticates Images and Videos In the Age of Deepfakes

This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Truepic is leading the charge to make sure people know the origin of what they’re seeing online Key Takeaways: The ability to trust what you see when it comes to digital content is more critical than ever. […]

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5 Key Features to Look for in RGB-IR Cameras for Biometric Systems

This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Selecting the right camera for biometric systems is crucial to ensuring accurate and consistent image capture for applications like facial recognition, iris scanning, and access control. RGB-IR cameras have emerged as a game-changer by capturing

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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 GPUs for Graphical and Machine Vision Processing

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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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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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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On the Brink of the Technological Singularity: Is AI Set to Surpass Human Intelligence?

This blog post was originally published at Geisel Software’s website. It is reprinted here with the permission of Geisel Software. Each advancement in artificial intelligence (AI), machine learning (ML), and contemporary large language models (LLMs), rekindles debates over the technological singularity, a hypothetical future point in time at which technological growth becomes uncontrollable and irreversible,

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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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