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.

Photon-Based Processing Units Enable More Complex Machine Learning

Machine learning performed by neural networks is a popular approach to developing artificial intelligence, as researchers aim to replicate brain functionalities for a variety of applications. A paper in the journal Applied Physics Reviews proposes a new approach to perform computations required by a neural network, using light instead of electricity. In this approach, a photonic tensor core performs multiplications of matrices in parallel, improving speed and efficiency of current deep learning paradigms.