Publications (6)
Low-power scalable multilayer optoelectronic neural networks enabled with incoherent light
Alexander Song, Sai Nikhilesh Murty Kottapalli, Rahul Goyal +2
Optical approaches have made great strides towards the goal of high-speed, energy-efficient computing necessary for modern deep learning and AI applications. Read-in and read-out o…
Explicit block-structures for block-symmetric Fiedler-like pencils
Maribel Bueno Cachadina, Madeleine Martin, Javier Pérez +2
In the last decade, there has been a continued effort to produce families of strong linearizations of a matrix polynomial , regular and singular, with good properties. As a…
Data Processing of Functional Optical Microscopy for Neuroscience
Hadas Benisty, Alexander Song, Gal Mishne +1
Functional optical imaging in neuroscience is rapidly growing with the development of new optical systems and fluorescence indicators. To realize the potential of these massive spa…
Multi-channel free-space optical convolutions with incoherent light
Alexander Song, Sai Nikhilesh Murty Kottapalli, Peer Fischer
Free-space optical systems are promising candidates for high performance computing and have been particularly successful in the implementation of large-scale convolutions. Convolut…
Engineering wavefronts with machine learned structured polarization
Sai Nikhilesh Murty Kottapalli, Alexander Song, Peer Fischer
Optical approaches for wavefront shaping traditionally rely on phase modulation through holographic techniques. Shaping the phase determines a wave's diffraction and hence its inte…
Semi-Supervised First-Person Activity Recognition in Body-Worn Video
Honglin Chen, Hao Li, Alexander Song +6
Body-worn cameras are now commonly used for logging daily life, sports, and law enforcement activities, creating a large volume of archived footage. This paper studies the problem…