Embodied virtual agents (EVAs), graphically represented 3D virtual characters that display human-like behavior, could have valuable applications in a variety of settings. For instance, they could be used to help people practice their language skills or could serve as...
Guide dogs, dogs that are trained to help humans move through their environments, have played a critical role in society for many decades. These highly trained animals, in fact, have proved to be valuable assistants for visually impaired individuals, allowing them to...
To enable the efficient operation of unmanned aerial vehicles (UAVs) in instances where a global localization system (GPS) or an external positioning device (e.g., a laser reflector) is unavailable, researchers must develop techniques that automatically estimate a...
Multi-robot systems have recently been used to tackle a variety of real-world problems, for instance, helping human users to monitor environments and access secluded locations. In order to navigate unknown and dynamic environments most efficiently, these robotic...
Teams of multiple robots could help to tackle a number of complex real-world problems, for instance, assisting human agents during search and rescue missions, monitoring the environment or assessing the damage caused by natural disasters. Over the past few years,...
In recent years, engineers worldwide have been trying to develop increasingly advanced and efficient neuromorphic computing systems, devices that mimic the neuro-biological structure of the central nervous system. Due to their bio-inspired architectures, these systems...
Artificial neural networks are known to be highly efficient approximators of continuous functions, which are functions with no sudden changes in values (i.e., discontinuities, holes or jumps in graph representations). While many studies have explored the use of neural...
Over the past few decades, computer scientists have developed deep learning tools for a broad variety of applications, including for the analysis of pharmaceutical drugs. Most recently, deep learning models that predict the properties of pharmaceuticals have been...
As machine learning algorithms and other artificial intelligence (AI) tools become increasingly widespread, some governments and institutions have started introducing regulations aimed at ensuring that they are ethically designed and implemented. Last year, for...
Solid state batteries (SSBs) are an emerging battery technology with high energy densities that could compete with lithium-ion batteries (LIBs), which power a wide range of electronic devices on the market today. In contrast with classic LIBs, SSBs have a solid...