Next Generation Reservoir Computing

Abstract: "Reservoir computing is a best-in-class machine learning algorithm for processing information generated by dynamical systems using observed time-series data. Importantly, it requires very small training data sets, uses linear optimization, and thus requires minimal computing resources. However, the algorithm uses randomly sampled matrices to define the underlying recurrent neural n... » read more

Power/Performance Bits: Dec. 14

Improved digital sensing Researchers from Imperial College London and Technical University of Munich propose a technique to improve the capability of many different types of sensors. The method addresses voltage limits in analog-to-digital converters and the saturation that results in poor quality when an incoming signal exceeds those limits. “Our new technique lets us capture a fuller ra... » read more

Manufacturing Bits: July 16

Levitating metrology The Instituto de Ciencias Físicas UNAM has developed a new contaminant detection technique. It uses sound waves to levitate droplets of water for sampling purposes. Researchers use a technique called laser induced breakdown spectroscopy (LIBS). The technique analyzes heavy metals in levitating drops of water, according to The Optical Society (OSA) journal Optics Letter... » read more