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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.
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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.
Featured
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.
Featured
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
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The AI-powered tool could inform the design of better sensors and cameras for robots or autonomous vehicles.
Latest Posts
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.
Intelligent Automation (IA) is a set of technologies and methods for automating the work of white-collar professionals and knowledge workers. Here, we present a framework for explaining its power in terms of four main capabilities—Vision, Execution, Language, and Thinking & Learning—and how they can enable business transformations, with people and business goals at the center.
With research suggesting feral pigeons do as much as $1.1 billion in damage in the US alone, a project which pairs a commercial drone with machine learning to scare them away — without injury — could prove key to their control.
A team of experts in artificial intelligence and animal ecology have put forth a new, cross-disciplinary approach intended to enhance research on wildlife species and make more effective use of the vast amounts of data now being collected thanks to new technology.
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Attention: Don’t presume human or model-generated labels to be the growth truth for machine learning deployment in autonomous vehicular systems.
The proposed AI system has an accuracy between 70% and 80% that can be employed as a second referral mechanism for cardiovascular examination.
A system developed by Grégoire Courtine and Jocelyne Bloch now enables patients with a complete spinal cord injury to stand, walk and even perform recreational activities like swimming, cycling and canoeing.
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5 Questions to Ask Before Getting Started with Data Annotation: What is data annotation? Why is it essential? What are common label types for models? How do AI-powered data annotation tools help with the computer vision labeling process? What’s the best way to get started?
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By reconfiguring neural networks in artificial intelligence (AI) devices, a multi-institute team that included Penn State researchers facilitated AI systems to continually learn and adapt new data and tasks in ways that were not possible or practical before.
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The CyberSpec framework is designed to detect anomalous behavior linked to cyber-attacks against crowd-sensing spectrum sensors, even when said sensors are running on lightweight resource-constrained hardware like a Raspberry Pi.
