Over the past few years, many researchers have tried to develop techniques and technologies that can solve combinatorial optimization problems, which entail identifying an optimal item or solution within a set number of possibilities. Past studies have tackled these...
In recent years, there has been an increase in the development of flexible electronics: electronic components that can be stretched and thus enable the development of smart watches, fitness trackers, or other wearable smart devices. Flexible electronics are typically...
In recent years, researchers have developed a growing amount of computational techniques to enable human-like capabilities in robots. Most techniques developed so far, however, merely focus on artificially reproducing the senses of vision and touch, disregarding other...
Over the past few years, robotics researchers have designed tiny and untethered swimming robots, also known as microswimmers, with increasingly advanced sensing and locomotion capabilities. These microrobots could prove very useful in medical settings, particularly...
Researchers at Charles University, Švanda Theater and the Academy of Performing Arts in Prague are currently working on an intriguing research project that merges artificial intelligence and robotics with theatre. Their project's main objective is to use artificial...
Over the past decade, researchers have developed a growing number of deep neural networks that can be trained to complete a variety of tasks, including recognizing people or objects in images. While many of these computational techniques have achieved remarkable...
Over the past few decades, research teams worldwide have developed a wide variety of computational tools and technological solutions. Quality-diversity (QD) optimization algorithms are an approach that can generate large collections of diverse and highly performing...
In recent years, a growing number of researchers have been developing artificial neural network (ANN)- based models that can be trained using a technique known as reinforcement learning (RL). RL entails training artificial agents to solve a variety of tasks by giving...
The ability to become transparent is a considerable evolutionary advantage, as it allows animals to blend in with their environment, avoid predators and mask their movements. Robots with similar capabilities could be of great value for a number of applications, for...
Researchers at Nanyang Technological University and University of Technology Sydney have recently developed a machine learning architecture that can recognize human gestures by analyzing images captured by stretchable strain sensors. The new architecture, presented in...