by Ingrid Fadelli | Sep 2, 2022 | Machine learning & AI, Robotics, TECHXPLORE
In recent years, deep learning algorithms have achieved remarkable results in a variety of fields, including artistic disciplines. In fact, many computer scientists worldwide have successfully developed models that can create artistic works, including poems, paintings...
by Ingrid Fadelli | Sep 2, 2022 | Energy & Green Tech, TECHXPLORE
Kesterite Cu2ZnSn(S,Se)4 is an emerging and promising green photovoltaic material, as it is abundant on Earth, does not harm the environment, and has a stable structure, a great tunability and advantageous optoelectronic properties. Despite their qualities, solar...
by Ingrid Fadelli | Sep 2, 2022 | Energy & Green Tech, Engineering, TECHXPLORE
Tandem solar cells (TSCs), stacks of p-n junctions based on semiconductors with different bandgaps, are a highly promising energy solution that could help to reduce carbon emissions. Perovskites, earth-abundant materials with a tunable bandgap, high charge-carrier...
by Ingrid Fadelli | Sep 2, 2022 | Computer Sciences, Machine learning & AI, TECHXPLORE
Near-term quantum computers, quantum computers developed today or in the near future, could help to tackle some problems more effectively than classical computers. One potential application for these computers could be in physics, chemistry and materials science, to...
by Ingrid Fadelli | Sep 2, 2022 | Machine learning & AI, Robotics, TECHXPLORE
Researchers University of California, Berkeley (UC Berkeley), Université de Montréal and Mila have recently developed a hierarchical reinforcement learning framework to improve the precision of quadrupedal robots in soccer shooting. This framework, introduced in a...
