Digica

Digica and J-Squared Announce Concept-to-completion Pipeline for Edge AI Solutions at Embedded Vision Summit 2024

Edge AI services span full life-cycle development for applications across defense, medical, manufacturing, and semiconductor sectors May 17, 2024 – At the 2024 Embedded Vision Summit, global edge computing leader J-Squared Technologies and international software solutions provider Digica will announce a comprehensive solution for concept-to-completion edge AI development, empowered by the Hailo-8 AI accelerator. The joint […]

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Navigating the Ethical Labyrinth: Unraveling the Complexities of AI Ethics

This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. Our world is experiencing rapid evolution, particularly in the realm of technology. AI stands out as one of the fastest-growing technologies, capturing the imagination not only of developers and scientists, but also of ordinary people. While science-fiction

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How is AI Transforming the Semiconductor Industry?

This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. The semiconductor industry stands as a driving force behind technological advancements, powering the devices that have become integral to modern life. As the demand for faster, smaller and more energy-efficient chips continues to grow, the industry faces

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Edge AI in Medical Applications

This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. A practical use for object detection based on Convolutional Neural Networks is in devices which can support people with impaired vision. An embedded device which runs object-detection models can make everyday life easier for users with such

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IoT for Dummies: Decoding the Language of Your Smart Building

This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. As smart home technology continues to evolve, our homes are becoming equipped with an increasing number of sensors, each capable of generating valuable data. From security systems and motion detectors to monitoring electricity and water usage, these

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Do You Know When You Don’t Know Something?

This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. We all have that one uncle in the family who knows the answer to every question. Even if that answer is often wrong. Let’s call him Uncle Bob. From politics to science, he confidently shares his opinion

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Radar Santa Classifier

This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. Here goes a second edition of our special Christmas treat for you! (The first one was about Santa Classification using classical Computer Vision techniques. It not only was accurate – catching even the Grinch – but also

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Feeding the World with AI: A Study In the Use of Synthetic Data

This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. Increasing yields has been a key goal for farmers since the dawn of agriculture. People have continually looked for ways to maximise food production from the land available to them. Until recently, land management techniques such as

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How to Find the Best “Food” for Your AI Model

This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. When you want to take the best possible care of your brain, certain things are recommended, such as fatty fish, vegetables, doing some brain exercises, and learning new things. But what about artificial neural networks? Of course,

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A Handful of Thoughts On the Practical Use of Generative Adversarial Networks

This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. A Generative Adversarial Network (GAN) is a concept that was developed in 2014 by a team of distinguished researchers led by Ian J. Goodfellow. In short, we train two deep neural networks in parallel so that the

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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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