Training robots to complete tasks in the real-world can be a very time-consuming process, which involves building a fast and efficient simulator, performing numerous trials on it, and then transferring the behaviors learned during these trials to the real world. In...
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The molecular implementation of a DNA-based artificial neural network
Molecular computing is a promising area of study aimed at using biological molecules to create programmable devices. This idea was first introduced in the mid-1990s and has since been realized by several computer scientists and physicists worldwide.
Enhancing the safety of autonomous vehicles in critical scenarios
Researchers at Ulm University in Germany have recently developed a new framework that could help to make self-driving cars safer in urban and highly dynamic environments. This framework, presented in a paper pre-published on arXiv, is designed to identify potential...
The Omnid Mocobots: New mobile robots for safe and effective collaboration
Teams of mobile robots could be highly effective in helping humans to complete straining manual tasks, such as manufacturing processes or the transportation of heavy objects. In recent years, some of these robots have already been tested and introduced in real-world...
A system to retrieve images using sketches on smart devices
Researchers at the SketchX, University of Surrey have recently developed a meta learning-based model that allows users to retrieve images of specific items simply by sketching them on a tablet, smartphone, or on other smart devices. This framework was outlined in a...
Researchers use a new framework to estimate the potential for energy demand reduction in the UK
Reducing energy demand worldwide can play a critical role in meeting international climate targets and effectively tackling climate change. Ultimately, such efforts could relieve some of the pressure on governments to decarbonize the energy supply, as emissions would...
A deep learning technique to generate DNS amplification attacks
Deep learning techniques have recently proved to be highly promising for detecting cybersecurity attacks and determining their nature. Concurrently, many cybercriminals have been devising new attacks aimed at interfering with the functioning of various deep learning...
A framework that could enhance the ability of robots to use physical tools
Researchers at I2R ASTAR Singapore and UM-CNRS LIRMM in France have recently developed a framework that could improve the ability of robots to identify objects in their surroundings that could be potential tools and then use them to complete manual tasks, even if they...
A strategy to stabilize water-splitting photoelectrodes for solar-to-hydrogen production
In recent years, engineers have been trying to devise new technologies to produce and store energy more sustainably, with the hope of overcoming the global reliance on fossil fuels and to fight climate change. A solution that has attracted much attention is the...
A new approach to enhance multi-fingered robot hand manipulation
In recent years, roboticists have developed increasingly advanced robotic systems, many of which have artificial hands or robot hands with multiple fingers. To complete everyday tasks in both homes and public settings, robots should be able to use their "hands" to...