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...
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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...
Building a self-sustainable robot from e-scrap using renewable energy
Electrical and electronic scrap (e-scrap) is now one of the fastest growing types of waste. E-scrap includes a wide array of old electronic devices that includes large household appliances such as refrigerators or air-conditioning systems, smartphones, computers and...
Facebook researchers build a dataset to train personalized dialogue agents
Researchers at Facebook have recently compiled a dataset of 5 million personas and 700 million persona-based dialogues. This database could be used to train end-to-end dialogue systems, resulting in more engaging and rich dialogues between computer agents and humans.
Can a computer write a sonnet as well as Shakespeare?
AI or not AI: that is the question.
Fast object detection in videos using region-of-interest packing
Researchers at the Robert Bosch Center for Data Science and Artificial Intelligence and Center for Computational Brain Research, Indian Institute of Technology Madras, and Purdue University have recently developed a new method of reducing computational requirements...
Casanova: A scalable consensus protocol for blockchain
A team of researchers at Pyrofex Corporation recently introduced Casanova, a leaderless optimistic consensus algorithm suited for use in a blockchain. Rather than producing a chain, Casanova produces blocks in a directed acyclic graph (DAG), which is essentially a...
ColorUNet: A new deep CNN classification approach to colorization
A team of researchers at Stanford University has recently developed a CNN classification method to colorize grayscale images. The tool they devised, called ColorUNet, draws inspiration from U-Net, a fully convolutional network for image segmentation.









