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With the help of new technologies, artificial intelligence, and digital monitoring, more healthcare will be provided in patients’ homes.
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The Guide to Understanding the Technologies Defining the Next Phase of Edge AI
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BottleFit framework applied DNN models in image classification achieves 77.1% data compression with up to 0.6% accuracy loss on the ImageNet dataset.
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In this article, we look at two tinyML projects for education. We show how Backyard Brains uses low-cost experiment kits to make neuroscience education more accessible. We also introduce our readers to a specialisation offered by Harvard & Google to help students learn tinyML like never before.
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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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TAGGED WITH machine learning
Training AI models is costly, forcing a trade-off between compressing large models or accepting weaker performance from smaller ones trained from scratch.
This new approach adapts to decide which robots should get the right of way at every moment, avoiding congestion and increasing throughput.
A team that included Chongzie Zhang from McKelvey Engineering developed a method that allows robots to teach other robots with different features to perform the same task.
New AI system lets robots work faster than their human teachers without sacrificing accuracy.
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
With the help of new technologies, artificial intelligence, and digital monitoring, more healthcare will be provided in patients’ homes.
3 minutes read
BottleFit framework applied DNN models in image classification achieves 77.1% data compression with up to 0.6% accuracy loss on the ImageNet dataset.
In this article, we look at two tinyML projects for education. We show how Backyard Brains uses low-cost experiment kits to make neuroscience education more accessible. We also introduce our readers to a specialisation offered by Harvard & Google to help students learn tinyML like never before.
Considered obsolete since the introduction of vision transformers, ConvNeXt proves there's life in convolution yet — outperforming its rivals by adopting some of their own tricks.
A holistic open-source framework to improve the performance of multiple modalities and outperform the existing single-modality algorithms.
#6 of our 'Voice of Innovation' fireside chat series: Robotics and AI reporter Rachel Gordon speaks to IoT networking savant Wienke Giezeman.
Soon, internet users will be able to meet each other in cyberspace as animated 3D avatars. Researchers at ETH Zurich have developed new algorithms for creating virtual humans much more easily.
4 minutes read
MotionCam-3D by Photoneo enables 3D scanning & handling of objects that are moving on an overhead conveyor without interruption. The camera provides high-quality 3D data even while the objects are moving, swinging, or slightly rotating.
ETH researchers led by Marco Hutter developed a new control approach that enables a legged robot, called ANYmal, to move quickly and robustly over difficult terrain. Thanks to machine learning, the robot can combine its visual perception of the environment with its sense of touch for the first time.
3 minutes read
In this article, we take a look at two tinyML projects related to healthcare. The first project helps gather Mean Radiant Temperature data outdoors to protect people from extreme heat, and the other one is a solution for affordable, accurate, & rapid detection of pneumonia.
In this episode, we talk about MIT’s new ion propelled hovering rover destined to change the way we explore our universe and an emergency drone coming from TUM hoping to reduce the fatalities caused by cardiac arrest episodes.
Whether for squats or sit-ups, the software created by the start-up VAY alerts exercisers about incorrect movements via a smartphone screen. Now the ETH spin-off has been acquired by connected fitness equipment manufacturer Nautilus.
4 minutes read
Voice interface demands application-specific chips that can understand language.
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.
