Choosing an internship placement is a key step for many students, as an internship can have a substantial impact on their professional development. Researchers at Universitas Pendidikan Ganesha, in Indonesia, have recently developed an AI-based recommendation system...
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A new smartphone user authentication system based on gait analysis
A team of researchers at the University of Pretoria and City University of Hong Kong has recently developed a continuous smartphone user authentication system based on gait analysis. This system, outlined in a paper presented at the 44th annual conference of the IEEE...
An approach for motion planning on asteroid surfaces with irregular gravity fields
Asteroids are small, rocky bodies orbiting the sun that are too small to be called planets. There are millions of asteroids in the solar system, ranging in size, shape and composition. The exploration of asteroids could help to uncover fascinating information about...
An approach to enhance machine learning explanations
Researchers at IBM Research UK, the U.S. Military Academy and Cardiff University have recently proposed a new approach to improve the sensitivity of LIME (Local Interpretable Model Agnostic Explanations), a technique for attaining a better understanding ofthe...
An architecture to enable the collaborative coexistence of cognitive radio networks in TVWS
A team of researchers at Yale University, Virginia Tech, Temple University and Peking University has recently developed a new approach to enable the collaborative coexistence of cognitive radio (CR) networks over TV white space (TVWS). The term TVWS refers to unused...
This assistive robot is controlled via brain-computer interface
Researchers at the University of Cassino and Southern Lazio, in Italy, have recently developed a cutting-edge architecture that enables the operation of an assistive robot via a P300-based brain computer interface (BCI). This architecture, presented in a paper...
A method for self-supervised robotic learning that entails setting feasible goals
Reinforcement learning (RL) has so far proved to be an effective technique for training artificial agents on individual tasks. However, when it comes to training multi-purpose robots, which should be able to complete a variety of tasks that require different skills,...
A method to introduce emotion recognition in gaming
Virtual Reality (VR) is opening up exciting new frontiers in the development of video games, paving the way for increasingly realistic, interactive and immersive gaming experiences. VR consoles, in fact, allow gamers to feel like they are almost inside the game,...
A method to reduce the number of neurons in recurrent neural networks
A team of researchers at Queen's University, in Canada, have recently proposed a new method to downsize random recurrent neural networks (rRNN), a class of artificial neural networks that is often used to make predictions from data. Their approach, presented in a...
A model for posture adaptation of legged robots while navigating confined spaces
Multi-legged robots are capable of navigating a variety of complex and unstructured terrains. Their many degrees of freedom allow them to adapt their walking posture to navigate several challenging environments, including confined spaces.