Energy & Green Tech

Reimagining the future of solar energy

Scientists are always on the lookout for ways to make our world a better place, and one area they're focusing on is solar energy. One idea in this area is to make solar cells more efficient by concentrating more solar light ...

Machine learning & AI

AI models are powerful, but are they biologically plausible?

Artificial neural networks, ubiquitous machine-learning models that can be trained to complete many tasks, are so called because their architecture is inspired by the way biological neurons process information in the human ...

Engineering

Bio-inspired device captures images by mimicking human eye

Drawing inspiration from nature, Penn State scientists have developed a new device that produces images by mimicking the red, green and blue photoreceptors and the neural network found in human eyes.

Energy & Green Tech

Using machine learning to find reliable and low-cost solar cells

Researchers at the University of California, Davis College of Engineering are using machine learning to identify new materials for high-efficiency solar cells. Using high-throughput experiments and machine learning-based ...

page 1 from 4