Ultra-precise lasers can be used for optical atomic clocks, quantum computers, power cable monitoring, and much more. But all lasers make noise, which researchers from DTU Fotonik want to minimize using machine learning.
Ultra-precise lasers can be used for optical atomic clocks, quantum computers, power cable monitoring, and much more. But all lasers make noise, which researchers from DTU Fotonik want to minimize using machine learning.
People living with disabilities don't want special treatment; they want equal opportunity. The ability to act independently of, and at the same time connect with, others when moving, communicating, learning, working, and socializing.
Explore IoT security solutions with insights into the threat landscape, secure architectures, and best practices for engineers building resilient connected systems.
This article explores how automated CI/CD pipelines replace fragile manual build processes with reproducible, auditable workflows that improve compliance, reduce defects, and accelerate development in regulated embedded systems
Join Prof. Fei Chen as he explores advanced bimanual manipulation and teleoperation techniques shaping the future of intelligent human-like robots in this expert-led robotics session.
The ETH spin-off Flink Robotics wants to revolutionize the handling of packages. Its founders Moritz Geilinger and Simon Huber have developed software that allows robots to work together and quickly take on new tasks.
Ultra-precise lasers can be used for optical atomic clocks, quantum computers, power cable monitoring, and much more. But all lasers make noise, which researchers from DTU Fotonik want to minimize using machine learning.
People living with disabilities don't want special treatment; they want equal opportunity. The ability to act independently of, and at the same time connect with, others when moving, communicating, learning, working, and socializing.
In this episode, we talk about how a breakthrough with compact laser nano-printers can make them more accessible for researchers and how leveraging 3D printing technology and machine learning will provide essential insight for developing next-gen cochlear implants.
A guide to leverage energy harvesting technology, meet peak power requirements for data transmission, and pairing batteries with supercapacitors as an energy storage system.
A smart building uses technology to obtain data. The data is then used to enable automatic, efficient, and economical use of resources while maintaining a safe and pleasant environment for occupants.
In this article, we take a look at two tinyML projects that have the potential to make contributions towards sustainable development goals. While the first project is about revolutionising precision farming, the second one aims to create a network of low-cost sensors for mapping carbon emissions.
Consumer demand for wearables is increasing, but after purchase, engagement is declining – why? Wearable technology has enjoyed a meteoric rise. Five years ago, approximately 115 million connected wearables were shipped. This year that figure is on target to hit 232 million units.
Edge Impulse recently announced official support for the Syntiant NDP101 processor, an always-on sensor and speech recognition processor, with ultra-low power consumption of less than 140 uW while recognizing words.
This article describes how custom notification and alert services can help facility managers improve their processes, reduce response time, and increase the overall user satisfaction of modern facilities.
According to leading trade publication, Enterprise IoT Insights, more than 80 percent of OEMs in the asset tracking space are releasing products for cellular IoT low power wide area networks (LPWANs). Also, LTE-M trackers have high growth as mobile operators roll out LTE-M networks.