Color centers are atomic imperfections in crystalline solids that absorb visible light of a particular color or radiation. These defects, typically in the form of missing atoms or substitutional impurities, can produce a characteristic color in materials that are...
Computer Sciences
Winect: A system that tracks 3D human poses during free-form motion
Wireless sensing devices, tools that allow users to sense movements and remotely monitor activities or changes in specific environments, have many applications. For instance, they could be used for surveillance purposes as well as to track the sleep or physical...
A system to control robotic arms based on augmented reality and a brain-computer interface
For people with motor impairments or physical disabilities, completing daily tasks and house chores can be incredibly challenging. Recent advancements in robotics, such as brain-controlled robotic limbs, have the potential to significantly improve their quality of life.
A framework to automatically identify wildlife in collaboration with humans
Over the past few decades, computer scientists have developed numerous machine learning tools that can recognize specific objects or animals in images and videos. While some of these techniques have achieved remarkable results on simple animals or items (e.g., cats,...
DeepDraper: A technique that predicts how clothes would look on different people
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...
A system to transfer robotic dexterous manipulation skills from simulations to real robots
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...
An online method to allocate tasks to robots on a team during natural disaster scenarios
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...
Monte Carlo tree search algorithms that can play the Lord of the Rings card game
When machine learning algorithms and other computational tools started becoming increasingly advanced, many computer scientists set out to test their capabilities by training them to compete against humans at different games. One of the most well-known examples is...
Turning an analysis of Asimov’s Foundation into art
In recent years, numerous computer scientists and artists worldwide have worked on projects that merge digital art and computer science. For instance, some introduced computational models that can create original artworks, while others used data analysis tools to...
A framework to enhance deep learning using first-spike times
Researchers at Heidelberg University and University of Bern have recently devised a technique to achieve fast and energy-efficient computing using spiking neuromorphic substrates. This strategy, introduced in a paper published in Nature Machine Intelligence, is a...