FAU Developed AUTOHOLO Shows Potential as Red Tide Warning System

Current methods to monitor red tide are limited. Using AUTOHOLO, a new autonomous, submersible, 3D holographic microscope and imaging system, a study is the first to characterize red tide in the field and breaks new ground for monitoring harmful algal blooms.

Developing Smarter, Faster Machine Intelligence with Light

SUMMARYResearchers at the George Washington University, together with researchers at the University of California, Los Angeles, and the deep-tech venture startup Optelligence LLC, have developed an optical convolutional neural network accelerator capable of processing large amounts of information, on the…

AI software enables real-time 3D printing quality assessment

Oak Ridge National Laboratory researchers have developed artificial intelligence software for powder bed 3D printers that assesses the quality of parts in real time, without the need for expensive characterization equipment.

Researchers use drones, machine learning to detect dangerous ‘butterfly’ landmines

Using advanced machine learning, drones could be used to detect dangerous “butterfly” landmines in remote regions of post-conflict countries, according to research from Binghamton University, State University at New York.

Machine learning technique speeds up crystal structure determination

A computer-based method could make it less labor-intensive to determine the crystal structures of various materials and molecules, including alloys, proteins and pharmaceuticals. The method uses a machine learning algorithm, similar to the type used in facial recognition and self-driving cars, to independently analyze electron diffraction patterns, and do so with at least 95% accuracy.