This blog post was originally published at Teledyne FLIR’ website. It is reprinted here with the permission of Teledyne FLIR. Football (or soccer) is the world’s favorite pastime as well as a huge industry. Top clubs cannot afford to make the wrong personnel decisions – and key players need to recover as quickly as possible […]
This blog post was originally published by SmartCow AI Technologies. It is reprinted here with the permission of SmartCow AI Technologies. Over the past few weeks, the simulation team here at SmartCow AI has been working on something that will help us gain a deeper understanding on how to create better, smarter, and more efficient
Seeing Double: A Digital Twin with a Simulative Spin Read More +
This blog post was originally published at Opteran Technologies’ website. It is reprinted here with the permission of Opteran Technologies. Report for Qinetiq singles out Opteran Natural Intelligence as biomimicry identified as a major disruptor. In a report written by Wired Magazine and commissioned by Qinetiq, a global integrated defense and security company, Opteran has
Wired Magazine: Opteran Features in Six Trends Shaping the Future Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. A major contributor to CO2 emissions in cities is traffic. City planners are always looking to reduce their carbon footprint and design efficient and sustainable infrastructure. NVIDIA Metropolis partner, MarshallAI, is helping cities improve their traffic management
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. Why a change in mindset about capturing the right data is essential for advances in machine learning Machine learning is rapidly changing how software and algorithms are developed. And data is the lifeblood driving the machine learning
This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. Data labeling is an essential step in a supervised machine learning task. The same is true for image annotation. Data labeling and image annotations must work together to paint a complete picture. If you show a child
Exploring Data Labeling and the 6 Different Types of Image Annotation Read More +
This blog post was originally published at Au-Zone Technologies’ website. It is reprinted here with the permission of Au-Zone Technologies. The introduction of low cost, powerful Arm processors coupled with the advances in machine learning techniques provides the foundation for intelligent computer vision edge devices. Computer vision at the edge will drive the shift from
Object Tracking at the Edge Read More +
This blog post was originally published at Hailo’s website. It is reprinted here with the permission of Hailo. In this blog post, we present Hailo’s License Plate Recognition (LPR) implementation (also known as Automatic Number Plate Recognition or ANPR). The presented solution can be used in Intelligent Transportation Systems (ITS) and is a good example
Automatic License Plate Recognition with Hailo-8 Read More +
This blog post was originally published at Deci’ website. It is reprinted here with the permission of Deci. Computer vision is a fast-growing subfield of AI and deep learning. From cashierless stores in retail to crop detection in agriculture, there’s an increasing interest in CV applications. This has created a vibrant community that gladly shares
13 Free Resources and Model Zoos for Deep Learning and Computer Vision Models Read More +
The textile and garment industry is facing major challenges with current supply chain and energy issues. The future recovery is also threatened by factors that hinder production, such as labor and equipment shortages, which put them under additional pressure. The competitiveness of the industry, especially in a global context, depends on how affected companies respond
Intelligent Robotics for Laundries Closes Automation Gap Read More +
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