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 […]
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Combining artificial intelligence (AI) with embedded cameras has paved the way for visual systems that can intelligently see and interact with their surroundings. Discover the role of AI in embedded camera applications, the benefits, and
A Detailed Look at Using AI in Embedded Smart Cameras Read More +
This blog post was originally published by Onit. It is reprinted here with the permission of Onit. 80 Forklifts for Indoor and Outdoor Logistics Florim is a multinational company recognized in the production of ceramic surfaces. With an innate passion for beauty and design, Florim has been producing ceramic surfaces for every building, architecture and
Case History: Florim Read More +
Radar has been one of the most significant additions to vehicles in the past two decades. It provides luxury advanced driver assistance system (ADAS) features like adaptive cruise control (ACC), as well as critical safety features like automatic emergency braking and blind spot detection. It has grown from an expensive accessory feature on the most
The Future of Automotive Radar: Miniaturizing Size and Maximizing Performance Read More +
This article was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. Learn about the Foundation Models — for object classification, object detection, and segmentation — that are redefining Computer Vision. Foundation models have come to computer vision! Initially limited to language tasks, foundation models can now serve as the backbone of computer
The Foundation Models Reshaping Computer Vision Read More +
This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. The attention mechanism made big changes in deep learning. Thanks to this, models can achieve better results. This mechanism was also the inspiration for perceivers and also transformer neural networks . And transformers led to the development
Deep Learning Models Which Pay Attention (Part I) Read More +
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. While robots have proliferated in recent years in smart cities, factories and homes, we are mostly interacting with robots controlled by classical handcrafted algorithms. These are robots that have a narrow goal and don’t learn from their
Embodied AI: How Do AI-powered Robots Perceive the World? Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Autonomous vehicles (AV) come in all shapes and sizes, ranging from small passenger cars to multi-axle semi-trucks. However, a perception algorithm deployed on these vehicles must be trained to handle similar situations, like avoiding an obstacle or
Using Synthetic Data to Address Novel Viewpoints for Autonomous Vehicle Perception Read More +
This article was originally published at Tenyks’ website. It is reprinted here with the permission of Tenyks. In Part 2 of our NVIDIA TAO Toolkit series, we describe & address the common challenges of model deployment, in particular edge deployment. We explore practical solutions to these challenges, especially on the issues surrounding model comparison. Here
This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. Why is explaining machine learning models important? The main focus in machine learning projects is to optimize metrics like accuracy, precision, recall, etc. We put effort into hyper-parameter tuning or designing good data pre-processing. What if these
Why is Explaining Machine Learning Models Important? Read More +
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.
Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596
