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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.
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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.
Featured
A novel approach to visual speech recognition that carefully designs the VSR model rather than increasing the size of the training data.
Featured
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.
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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.
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TAGGED WITH computer vision
EPFL researchers are developing AI models that could one day enable vision prosthetics able to restore meaningful, object-level sight for the blind.
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Understanding industrial vision systems by examining their components, imaging fundamentals, AI integration since 2020, and how to choose the right solution for every application.
The AI-powered tool could inform the design of better sensors and cameras for robots or autonomous vehicles.
Latest Posts
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.
Developers at all skill levels can learn and grow from attending cutting-edge conferences and leveraging online resources.
For the second consecutive year, we have compiled a list of Campus companies that Eindhoven, the Netherlands and the world will hear more about in 2022. This year, we’re focusing on companies created in High Tech Campus’s startup ecosystem, or that landed on the Campus during 2021.
8 minutes read
Research from MIT suggests that a certain type of robust computer-vision model perceives visual representations similarly to the way humans do using peripheral vision.
In this episode, we talk about how UAVs are being deployed to control destructive pigeon populations and to study bottlenose dolphin populations.
This 3D vision system for a mobile robot picker consists of an AMR with a robotic arm equipped with the Photoneo 3D camera MotionCam-3D. The hand-eye setup allows you to scan and approach each object from an appropriate angle, distance, and position.
Designed as a necklace-style wearable in a 3D-printed case, SpeeChin is capable of recognizing 54 English and 44 Chinese voice commands — even if the wearer never says anything out loud.
In this episode, we talk about how AI is being leveraged for designing better batteries and training microswimmers.
The in-sensor adaptation strategy widens the range for image perception under different illumination conditions to simplify the complexity of hardware and algorithms.
Sounds provide important information about how well a machine is running. ETH researchers have now developed a new machine learning method that automatically detects whether a machine is "healthy" or requires maintenance.
4 minutes read
Designed to address the OOD data false prediction by adaptively synthesizing virtual outliers that can maintain the model’s decision boundary during training.
Designed to address the exploding computational demands of deep neural networks, physical neural networks (PNNs) branch out from electronics into optics and even mechanics to boost performance and efficiency.
Designed for use in the human body for everything from drug delivery to less-invasive biopsies, these tiny microrobots operate under the control of a deep-learning system trained with no modelling or prior environmental knowledge.
