Researchers from Chongqing University, in China, have recently developed a self-powered triboelectric auditory sensor (TAS) that could be used to build electronic auditory systems for external hearing aids in intelligent robotics applications. Their recent study,...
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An evaluation of machine learning to identify bacteraemia in SIRS patients
A team of researchers at the Medical University of Vienna has recently evaluated the effectiveness of machine learning strategies to identify bacteraemia in patients affected by systemic inflammatory response syndrome (SIRS). Their study, published in Scientific...
A principle-based paradigm to foster ethical behavior in autonomous machines
A team of researchers at the University of Hartford, the University of Connecticut, and the Max Planck Institute for Intelligent Systems have recently proposed a case-supported, principle-based behavior paradigm toward ensuring the ethical behavior of autonomous...
A new approximate computing approach using CNNs
Researchers at Fukuoka University, in Japan, have recently proposed a design methodology for configurable approximate arithmetic circuits. As part of their study, published on ResearchGate, they applied their method to a prototype system for image processing that...
A ToM-based human intention estimation algorithm for robotized warehouses
The rapid growth of logistics businesses has generated a need for more evolved and efficient warehouse systems. Advances in robotics could help to meet these needs by automating tasks that are currently completed by humans, significantly speeding up the workflow.
A new artificial neural network framework for gait based biometrics
Researchers at Imperial College London have recently devised a new biometric cryptosystem approach for securing wireless communications of wearable and implantable medical devices. Their framework, outlined in a study published on IEEE Explore, uses an artificial...
Baidu researchers develop a new auto-tuning framework for autonomous vehicles
Researchers at Chinese multinational tech company Baidu have recently developed a data-driven auto-tuning framework for self-driving vehicles based on the Apollo autonomous driving platform. The framework, presented in a paper pre-published on arXiv, consists of a new...
A new convolutional neural network model to detect abuse and incivility on Twitter
Researchers at Northwestern University, McGill University, and the Indian Institute of Technology Kharagpur have recently developed a character level convolutional neural network (CNN) model that could help to detect abusive posts on Twitter. This model was found to...
BinaryGAN: a generative adversarial network with binary neurons
Researchers at the Research Center for IT Innovation of Academia Sinica, in Taiwan, have recently developed a novel generative adversarial network (GAN) that has binary neurons at the output layer of the generator. This model, presented in a paper pre-published on...
A new coded caching scheme to improve online video delivery
Researchers at Imperial College London have developed a new method for coded caching that could improve the delivery of popular video content online. A research paper outlining their findings was pre-published on arXiv, outlining the technique and its performance in...