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To be truly useful, drones—that is, autonomous flying vehicles—will need to learn to navigate real-world weather and wind conditions.
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The Guide to Understanding the Technologies Defining the Next Phase of Edge AI
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How retail uses IoT, AI, Computer Vision, VR, and AR to transform into an automated, data-rich, and highly personalized environment.
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Axelera has recently joined the AI Innovation Center at High Tech Campus Eindhoven. The company is designing chips for AI on the edge with the aim to revolutionise the field and make AI accessible to everyone. They picked up an impressive 10 million euros in their seed investment round.
Engineers Wiki. Most Asked Questions.
Comprehensive Guide
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
TPU vs GPU: A Comprehensive Technical Comparison
By Umar Waseem.
14 minutes read.
TPU vs GPU: Comprehensive Technical Comparison
By Umar Waseem.
14 minutes read.
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...
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ETH Zurich
University for science and technology
Freedom and individual responsibility, entrepreneurial spirit and open-min...
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TAGGED WITH machine learning
New AI system lets robots work faster than their human teachers without sacrificing accuracy.
Nakahira received a Young Investigator Award from the Japan Science and Technology Agency for developing a machine that builds autonomous systems.
Princeton researchers have developed a new tool to speed the discovery of advanced materials known as metal organic frameworks, or MOFs.
EPFL roboticists have shown that when a modular robot shares power, sensing, and communication resources among its individual units, it is significantly more resistant to failure than traditional robotic systems, where the breakdown of one element often means a loss of functionality.
TAGGED WITH computer vision
The AI-powered tool could inform the design of better sensors and cameras for robots or autonomous vehicles.
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.
Latest Posts
To be truly useful, drones—that is, autonomous flying vehicles—will need to learn to navigate real-world weather and wind conditions.
4 minutes read
How retail uses IoT, AI, Computer Vision, VR, and AR to transform into an automated, data-rich, and highly personalized environment.
9 minutes read
Axelera has recently joined the AI Innovation Center at High Tech Campus Eindhoven. The company is designing chips for AI on the edge with the aim to revolutionise the field and make AI accessible to everyone. They picked up an impressive 10 million euros in their seed investment round.
5 minutes read
In this episode, we talk about how an app leveraging 3 sets of machine learning algorithms aims to reduce waste and emissions by creating 3D models of feet and the hoverfly inspired AI that will be keeping airfields safe from small drones via acoustic mapping and filtering.
Snapfeet is a new mobile phone app that shows how well shoes will fit based on the 3D shape of the user’s foot. It also offers a simple augmented reality (AR) visualisation of what the shoes will look like on the feet.
The fourth industrial revolution has the potential to fundamentally transform the way humans and machines work today. Will it lead to an improvement in the quality of life? Or will it be a cause of widespread job losses and unrest?
Deep learning increases reliability and reduces false alarms
While the concept of a hugging robot may sound bizarre, the researchers behind the project — now in its third generation — believe that such a device could have a major impact on everything from social telepresence to elder care.
Imagine you could create thousands of options for a single design the push of a button and then you just pick the best option! Generative design makes this possible.
8 minutes read
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.
