A team of researchers at the University of Texas at Arlington and the University of Texas Southwestern have recently developed a new method to estimate systolic (SBP), diastolic (DBP), and mean (MBP) blood pressure waveforms from photoplethysmography (PPG) signals....
TECHXPLORE
Visual rendering of shapes on 2-D display devices guided by hand gestures
Researchers at NIT Kurukshetra, IIT Roorkee and IIT Bhubaneswar have developed a new Leap Motion controller-based method that could improve rendering of 2-D and 3-D shapes on display devices. This new method, outlined in a paper pre-published on arXiv, tracks finger...
WaveGlow: A flow-based generative network to synthesize speech
A team of researchers at NVIDIA has recently developed WaveGlow, a flow-based network that can generate high-quality speech from melspectrograms, which are acoustic time-frequency representations of sound. Their method, outlined in a paper pre-published on arXiv, uses...
Who let the trolls out? Researchers investigate state-sponsored trolls
Over the past few years, journalists and politicians have often highlighted the presence of state-sponsored online trolls with the mission of swaying public opinion on particular issues. Researchers at Cyprus University of Technology, UCL, University of Alabama at...
Remote sensing techniques could improve electrification planning in Zambia
Researchers at the Reiner Lemoine Institut in Berlin have effectively used remote sensing techniques to detect a sample of Zambian villages that are without electricity. Their study, recently published on Springer's Proceedings in Energy book series, highlights the...
Robot DE NIRO: A robotics platform for human-centered interactions
In the future, robots could play a key role in healthcare settings, easing the lives of the elderly and assisting vulnerable individuals. Researchers at Imperial College London have recently created Robot DE NIRO, a robotics research platform that could support...
RoboTurk: A crowdsourcing platform for imitation learning in robotics
Imitation learning is a branch of machine learning that trains machines to mimic human behavior while completing particular tasks. These techniques show great promise in the field of robotics, as they tackle some of the shortcomings of reinforcement learning, such as...
A new method for type synthesis of non-holonomic underactuated parallel mechanisms
Researchers at Shanghai University have developed a new method to achieve type synthesis of non-holonomic underactuated parallel mechanisms. Their method, presented in a paper published in Acta Astronautica, could aid the development of space robots for on-orbit...
SCRIM: An innovative method for 3-D concrete printing
Researchers at the Centre for Information Technology and Architecture (CITA) of the Royal Danish Academy of Fine Arts and at the Danish Technological Institute have developed a new hybrid construction concept called "Sparse Concrete Reinforcement In Meshworks"...
SLAP: Simultaneous Localization and Planning for autonomous robots
Researchers at NASA Jet Propulsion Laboratory (JPL), Texas A&M University, and Carnegie Mellon University recently carried out a research project aimed at enabling simultaneous localization and planning (SLAP) capabilities in autonomous robots. Their paper, published...