Artificial intelligence (AI) is a wide-ranging tool that enables people to rethink how we integrate information, analyze data, and use the resulting insights to improve decision making
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Engineers Wiki. Most Asked Questions.
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TPU vs GPU: Comprehensive Technical Comparison
By Umar Waseem.
14 minutes read.
What is High Bandwidth Memory 3 (HBM3): Complete Engineering Guide 2025
By Umar Waseem.
15 minutes read.
HBM Memory: Complete Engineering Guide & Design Optimization 2025
By Umar Waseem.
14 minutes read.
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ORGANIZATIONS. SHAPING THE INDUSTRY.
The Next Byte
Entertainment
The Next Byte Podcast is hosted by two young engineers - Daniel and Farbod - who select the most interesting tech/engineering cont...
165 Posts
High Tech Campus Eindhoven
High Tech
High Tech Campus Eindhoven is Europe's smartest square km and has the ultim...
49 Posts
ETH Zurich
University for science and technology
Freedom and individual responsibility, entrepreneurial spirit and open-min...
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TAGGED WITH machine learning
The virtual VideoCAD tool could boost designers' productivity and help train engineers learning computer-aided design.
In large-scale warehousing and distribution operations, conveyor belts are an essential infrastructure that must operate with near-zero downtime to ensure the timely delivery of products. The presence of loose or foreign items on a conveyor belt can pose a serious risk to these operations.
To reduce waste, the Refashion program helps users create outlines for adaptable clothing, such as pants that can be reconfigured into a dress. Each component of these pieces can be replaced, rearranged, or restyled.
Smart eyewear promises to transform how we see and interact with the world. Among its many potential advantages, the technology offers hands-free access to information, vision enhancement, and accessibility tools.
TAGGED WITH computer vision
In large-scale warehousing and distribution operations, conveyor belts are an essential infrastructure that must operate with near-zero downtime to ensure the timely delivery of products. The presence of loose or foreign items on a conveyor belt can pose a serious risk to these operations.
In this post, we'll walk through how to evaluate that progress using the same metrics our platform provides automatically, so you can build detectors that get smarter, sharper, and more reliable over time.
The no-code platform from Matroid trains ordinary cameras to act like expert inspectors, turning simple footage into a pixel-level defect checklist. Even a handheld GoPro can spot issues human eyes miss—using remarkably small datasets.
In the world of automotive manufacturing, precision is not optional — it is mandatory. Every component, from wiring harnesses to interior panels to fasteners, must be installed correctly, in the correct sequence, at the correct tempo, every single time.
Latest Posts
Wearable sensors plus computer vision could reduce the likelihood of degenerative joint disease.
3 minutes read
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
In this episode, we talk about a breakthrough in biorobotics with self-reproducing xenobots and a leap in stable tissue engineering designs.
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.
In this episode, we talk about how the AI used for deep fakes is being leveraged for new material discovery and how AI beat human managers in process management.
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.
The article covers the basics of TinyML, a technology that improves the privacy, energy efficiency, affordability and reliability of devices utilising artificial intelligence. Be a part of TinyML for good, an online event and showcase of ideas that aims at exploring the topic in more detail.
A rich line-up of speakers discuss the trends and challenges of the industry.
