As blockchain technology and cryptocurrency become increasingly mainstre...
Neural networks are widely deployed models across many scientific discip...
Direct solvers are a common method for solving finite difference frequen...
Gradient-based inverse design in photonics has already achieved remarkab...
Reconfigurable photonic mesh networks of tunable beamsplitter nodes can
...
We present a previously unexplored forward-mode differentiation method f...
Analog machine learning hardware platforms promise to be faster and more...
Visual object recognition under situations in which the direct line-of-s...
We introduce an electro-optic hardware platform for nonlinear activation...
Recently, integrated optics has gained interest as a hardware platform f...