This blog post was originally published at Renesas’ website. It is reprinted here with the permission of Renesas. Vision AI – or computer vision – refers to technology that allows systems to sense and interpret visual data and make autonomous decisions based on an analysis of this data. These systems typically have camera sensors for […]
Can Your Vision AI Solution Keep Up with Cortex-M85? Read More +
This blog post was originally published at Silo AI’s website. It is reprinted here with the permission of Silo AI. The international technology group Körber focuses on the development of AI-driven visual quality control for the pharmaceutical industry. Therefore, Körber has teamed up with Silo AI, one of the largest private AI labs in Europe,
Silo AI Supports Körber in Redefining Visual Quality Control Read More +
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. An interview with Qualcomm’s head of AI on where generative AI is going As part of Qualcomm Technologies’ executive outreach on the importance of on-device generative AI, the Senior Vice President of Product Management, Snapdragon Technologies and
This blog post was originally published by D3. It is reprinted here with the permission of D3. We’ve found that a lot of innovators are considering including millimeter wave radar in their solutions, but some are not familiar with the sensing capabilities of radar when compared with vision, lidar, or ultrasonics. I want to review some
A Brief Introduction to Millimeter Wave Radar Sensing Read More +
This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. Nowadays, no one needs to be convinced of the power and usefulness of deep neural networks. AI solutions based on neural networks have revolutionised almost every area of technology, business, medicine, science and military applications. After the
How to Fool a Neural Network Read More +
This blog post was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. Use embeddings with vector databases to perform multi-modal search on images. Embeddings are a powerful way to represent and capture the semantic meaning and relationships between data points in a vector space. While word embeddings in NLP
Multi-modal Image Search with Embeddings and Vector Databases Read More +
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. The ongoing embedded vision evolution carries game-changing implications for various industries. It has the potential to redefine the way machines perceive and engage with their surroundings. Discover the popular types of cameras leading this charge,
What are Vision Systems? Everything You Need to Know in 2023 Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. With NVIDIA TAO Toolkit, developers around the world are building AI-powered visual perception and computer vision applications. Now the process is faster and easier than ever, thanks to significant platform enhancements and strong ecosystem adoption. NVIDIA TAO
Develop and Optimize Vision AI Models for Trillions of Devices with NVIDIA TAO Read More +
This blog post was originally published at Cloneable’s website. It is reprinted here with the permission of Cloneable. No-code Edge AI Application Builder Despite the incredible potential of deep tech like AI and IoT, it’s still a struggle to make it truly impactful for businesses. Today, millions of field devices are collecting data on assets
This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. In the previous article, I described attention mechanisms by using an example of natural language processing. This method was first used in language processing, but this is not its only usage. We can also use attention mechanisms
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