Removing litter from oceans and seas is a costly and time-consuming process. As part of a European cooperative project, a team at the Technical University of Munich (TUM) is developing a robotic system that uses machine learning methods to locate and collect waste under water.
Removing litter from oceans and seas is a costly and time-consuming process. As part of a European cooperative project, a team at the Technical University of Munich (TUM) is developing a robotic system that uses machine learning methods to locate and collect waste under water.
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.
At READY we want to engage the landscape of developers outside the robotics industry to be programmers in the robotics industry.
This article explores TPU vs GPU differences in architecture, performance, energy efficiency, cost, and practical implementation, helping engineers and designers choose the right accelerator for AI workloads today!
11 minutes read.
16 minutes read.
14 minutes read.
14 minutes read.
High Tech
High Tech Campus Eindhoven is Europe's smartest square km and has the ultim...
49 Posts
University for science and technology
Freedom and individual responsibility, entrepreneurial spirit and open-min...
43 Posts
Understanding industrial vision systems by examining their components, imaging fundamentals, AI integration since 2020, and how to choose the right solution for every application.
Explore the rise of intelligent EV hardware and how real-time processing, ML acceleration, and hardware virtualization are enabling safer, smarter, software-defined electric vehicles.
A detailed engineering reference on performance, signaling, and power differences in current graphics memory standards.
Training AI models is costly, forcing a trade-off between compressing large models or accepting weaker performance from smaller ones trained from scratch.
With Xsens Indie Program
Removing litter from oceans and seas is a costly and time-consuming process. As part of a European cooperative project, a team at the Technical University of Munich (TUM) is developing a robotic system that uses machine learning methods to locate and collect waste under water.
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.
4 minutes read
At READY we want to engage the landscape of developers outside the robotics industry to be programmers in the robotics industry.
4 minutes read
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.
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.
This handbook introduces the concept of bin-picking, and explores its complexity through real-case studies.
2 minutes read
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.
KOPR spol. s.r.o. developed a solution for advanced laser cutting of heavy hot-formed parts and their subsequent quality check. The solution deploys 3D vision and Bin Picking Studio from Photoneo and an ABB robot.
2 minutes read
An advanced solution for automated inspection of bricks that combines top technologies by Photoneo and PEKAT VISION.
In this episode, we talk about how computer vision works and discuss an application coming out of the Technical University of Denmark that can help dairy farmers remove weeds from their fields.
With Xsens Motion Capture
3 minutes read
Kinalisoft developed a solution for the automation of electrical inspection of PCBs. The system uses Photoneo 3D vision to get high-resolution and high-accuracy 3D data.
Learn how vision AI can be used to prevent damage and contamination by detecting unwanted material during processing and manufacturing.
3 minutes read
A solution by Skeletex Research allows users to view and edit 3D scans up-close in VR using Photoneo 3D vision.
The collaboration between Nordic Semiconductor and Edge Impulse provides resource-optimized IoT devices with more accessible machine learning at the edge.
3 minutes read
