To train and implement artificial neural networks, engineers require advanced devices capable of performing data-intensive computations. In recent years, research teams worldwide have been trying to create such devices, using different approaches and designs.
In recent years, some computer scientists have been exploring the potential of deep-learning techniques for virtually dressing 3D digital versions of humans. Such techniques could have numerous valuable applications, particularly for online shopping, gaming and 3D...
Nonlinear optics is a research field that explores how intense light interacts with matter. Typically, the optical response of materials is linearly associated with the amplitude of the electric field applied to them. At particularly high amplitudes, however, the...
As robots become increasingly sophisticated and advanced, they will typically require a growing amount of hardware components, including robotic limbs, motors, sensors and actuators. In addition, robots have integrated computers that process data collected by their...
Large-area electronics (LAE) is an emerging technology for electronic device manufacture, such as printing or large-scale lithography, the process used to create flat panel displays and solar cells. Using LAE processes, engineers could create systems that are large...
Last year, the Max Planck Institute for Intelligent Systems organized the Real Robot Challenge, a competition that challenged academic labs to come up with solutions to the problem of repositioning and reorienting a cube using a low-cost robotic hand. The teams...
Teams of robots could help users to complete numerous tasks more rapidly and efficiently, as well as keeping human agents out of harm's way during hazardous operations. In recent years, some studies have particularly explored the potential of robot swarms in assisting...
To efficiently navigate their surrounding environments and complete missions, unmanned aerial systems (UASs) should be able to detect multiple objects in their surroundings and track their movements over time. So far, however, enabling multi-object tracking in...
Over the past decade or so, computer scientists developed a variety of machine learning (ML) models that can analyze large amounts of data both quickly and efficiently. To be applied in real-world situations that involve the analysis of highly sensitive data, however,...
Semiconductor p-n junctions are boundaries between two types of semiconductors (i.e., p-type and n-type semiconductor materials). These junctions are crucial components of many modern electronic devices.