Photovoltaic (PV) cells, which can generate energy from the sun, could be very useful in tackling the current environmental crisis. Perovskite PV cells, cells made of metal halide perovskite semiconductors, have recently proved to be particularly promising, as...
Researchers at UC Berkeley and Facebook AI Research have recently developed a new approach for robot navigation in unknown environments. Their approach, presented in a paper pre-published on arXiv, combines model-based control techniques with learning-based perception.
When it comes to predicting the costs of new energy systems and technologies, researchers must consider learning rates, which are estimated measures of technological progress. In fact, technological advances are typically associated with higher technological...
In recent years, research teams worldwide have developed new methods for simultaneous localization and mapping (SLAM). These techniques can be used to construct or update maps of a given environment in real time, while simultaneously tracking an artificial agent or...
Conformable imagers are flexible electronic components that can be placed in direct contact with a human user's skin, recording his/her vital signs or other biological information. Over the past few years, these imagers have become widely used, particularly for...
2-D semiconductors could have very useful applications, particularly as channel materials for low-power transistors. These materials display very high mobility at extreme thicknesses, which makes them particularly promising alternatives to silicon in the fabrication...
Artificial intelligence and robotics architectures are often inspired by patterns occurring in nature, both in humans and animals. Patterns of movement observed in animals have been replicated in robots via a number of shape-changing mechanisms such as chemical...
Evaluating the usability of open-source software (OSS), software that is made freely available to developers worldwide, generally entails analyzing the feedback and comments of those who used it. Processing and understanding the feedback provided in user discussions,...
Researchers at Technion and TowerJazz in Israel have recently built a low-power, two-terminal floating-gate transistor that could have useful applications in neuromorphic computing. This transistor, presented in a paper in Nature Electronics, was fabricated using...
In recent years, research teams worldwide have been using reinforcement learning (RL) to teach robots how to complete a variety of tasks. Training these algorithms, however, can be very challenging, as it also requires substantial human efforts in properly defining...