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In this episode, we talk about how UAVs are being deployed to control destructive pigeon populations and to study bottlenose dolphin populations.
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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.
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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.
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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
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.
Taking its cues from the haunting electronic instrument, the MoCapaci project sews a theremin into a blazer to feed a deep-learning system with data for accurate gesture sensing and activity recognition.
Over the last decade, deep neural networks have emerged as the solution to several AI complex applications from speech recognition and object detection to autonomous vehicular systems.
A system with an opto-chemical sensor combined with a battery-free NFC tag of resolution 103 ppm for measuring the CO2 gas concentration in the dead space volume of the facemask
Precise and fast dimensioning of objects moving on a conveyor belt enabled by Photoneo's novel technology of Parallel Structured Light.
2 minutes read
Designed to address the risk to front-line staff from COVID-19, this autonomous swab-sampling robot is designed to take the human element out of sample gathering.
Using a now public-access dataset, a research team has created a robotics control system which can generalize to unseen related tasks — allowing robots to interpret natural-language commands and video demonstrations.
