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.
Comprehensive Guide
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
Matroid builds no-code computer-vision detectors that can spot everything from microscopic material defects to real-time safety hazards on a factory floor.
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.
Latest Posts
Columbia computer scientists have built an algorithm that blocks a rogue microphone from correctly hearing your words—in English so far—80% of the time
With growing concern over microplastics from ocean waste, autonomous underwater vehicles — AUVs — have been proposed as a tool for cleaning up our seas, but only if they can pick the plastics out from the fish: Enter these tweaked EfficientDets, boosting accuracy for the task.
In this episode, we talk about how robotic technology is being leveraged to create a system capable of handling pizza dough and to offer an autonomous alternative that should address the primary shortcomings of conventional wheelchairs.
EPFL engineers have developed a silicone raspberry that can help teach harvesting robots to grasp fruit without exerting too much pressure.
3 minutes read
Designed to monitor the whole sky for signs of meteors, which can be traced back to their cometary origins, the CAMS project has recently received a big upgrade to its detection and visualization pipeline — with the SpaceML project bringing citizen scientists into the mix.
A framework that uses both audio and image modality for event classification– tested on COVID-19 prescreening and battlefield object detection, later evaluated on the Raspberry Pi 4 single-board computer.
The adaptive immune system serves as a template for defending neural nets from confusion-sowing attacks.
4 minutes read
In this episode, we talk about how a group at MIT has developed an easy-to-use handheld device to treat internal bleeding and a joint effort between MIT and Imperial College London which resulted in a marine mammal call sensor that can leverage machine learning models locally
Researchers have developed a technique for making quantum computing more resilient to noise, which boosts performance.
Using satellite imagery or road schematic maps as "side information," the ViKiNG robot can plan its own miles-long route to a goal — measurably outperforming its strongest competitors, even when its side information is inaccurate or outdated.
#7 of our 'Voice of Innovation' fireside chat series: Robotics and AI reporter Rachel Gordon speaks to Kokotov on his vision to understand every human voice.
There have been two distinct worlds in Artificial Intelligence for Robotics, the world of research, and the world of robotics in the factory. More and more, the promise of AI in the factory is setting these two worlds on a collision course.
Humans are usually pretty good at recognising when they get things wrong, but artificial intelligence systems are not. According to a new study, AI generally suffers from inherent limitations due to a century-old mathematical paradox.
A novel approach to visual speech recognition that carefully designs the VSR model rather than increasing the size of the training data.
Designed to bring machine learning to the Earth's last great frontier, a prototype smart sensor platform users on-device inference to classify marine mammal calls — powering itself exclusively from the sounds it captures.
