Zobrazeno 1 - 10
of 123
pro vyhledávání: '"M. Shainline"'
Publikováno v:
APL Machine Learning, Vol 2, Iss 2, Pp 026122-026122-12 (2024)
The co-location of memory and processing is a core principle of neuromorphic computing. A local memory device for synaptic weight storage has long been recognized as an enabling element for large-scale, high-performance neuromorphic hardware. In this
Externí odkaz:
https://doaj.org/article/6d253228c5014f20a8018355ad6d32d6
Publikováno v:
Physical Review Research, Vol 5, Iss 1, p 013164 (2023)
Superconducting optoelectronic loop neurons are a class of circuits potentially conducive to networks for large-scale artificial cognition. These circuits employ superconducting components including single-photon detectors, Josephson junctions, and t
Externí odkaz:
https://doaj.org/article/ecce407931ac45a4a17691302f066939
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
Any large-scale spiking neuromorphic system striving for complexity at the level of the human brain and beyond will need to be co-optimized for communication and computation. Such reasoning leads to the proposal for optoelectronic neuromorphic platfo
Externí odkaz:
https://doaj.org/article/ada1ef179e584326bed03f51bb09d481
Autor:
Saeed Khan, Sonia M. Buckley, Jeff Chiles, Richard P. Mirin, Sae Woo Nam, Jeffrey M. Shainline
Publikováno v:
APL Photonics, Vol 5, Iss 5, Pp 056101-056101-8 (2020)
We demonstrate adiabatically tapered fibers terminating in sub-micron tips that are clad with a higher-index material for coupling to an on-chip waveguide. This cladding enables coupling to a high-index waveguide without losing light to the buried ox
Externí odkaz:
https://doaj.org/article/d353fdbc38ca49c98eaba2fa2eea0dcd
Autor:
Saeed Khan, Bryce A. Primavera, Jeff Chiles, Adam N. McCaughan, Sonia M. Buckley, Alexander N. Tait, Adriana Lita, John Biesecker, Anna Fox, David Olaya, Richard P. Mirin, Sae Woo Nam, Jeffrey M. Shainline
Publikováno v:
Nature Electronics. 5:650-659
Publikováno v:
APL Photonics, Vol 3, Iss 10, Pp 106101-106101-11 (2018)
We design, fabricate, and characterize integrated photonic routing manifolds with 10 inputs and 100 outputs using two vertically integrated planes of silicon nitride waveguides. We analyze manifolds via top-view camera imaging. This measurement techn
Externí odkaz:
https://doaj.org/article/d4400697acef4ac4991912796ed9d0dd
Autor:
Nima Nader, Daniel L. Maser, Flavio C. Cruz, Abijith Kowligy, Henry Timmers, Jeff Chiles, Connor Fredrick, Daron A. Westly, Sae Woo Nam, Richard P. Mirin, Jeffrey M. Shainline, Scott Diddams
Publikováno v:
APL Photonics, Vol 3, Iss 3, Pp 036102-036102-10 (2018)
Laser frequency combs, with their unique combination of precisely defined spectral lines and broad bandwidth, are a powerful tool for basic and applied spectroscopy. Here, we report offset-free, mid-infrared frequency combs and dual-comb spectroscopy
Externí odkaz:
https://doaj.org/article/c81a8be7ea9d4e7e8253ffc9df623fc5
Publikováno v:
APL Photonics, Vol 2, Iss 11, Pp 116101-116101-7 (2017)
We propose and experimentally demonstrate a photonic routing architecture that can efficiently utilize the space of multi-plane (3D) photonic integration. A wafer with three planes of amorphous silicon waveguides was fabricated and characterized, d
Externí odkaz:
https://doaj.org/article/12ad70d704694c9685ec5335f981fc6e
Autor:
Jeffrey M Shainline
Publikováno v:
New Journal of Physics, Vol 22, Iss 7, p 073064 (2020)
If the parameters defining the physics of our universe departed from their present values, the observed rich structure and complexity would not be supported. This article considers whether similar fine-tuning of parameters applies to technology. The
Externí odkaz:
https://doaj.org/article/4b3f90968b2c4927b87fd787d1f167dc
Publikováno v:
2021 IEEE Photonics Society Summer Topicals Meeting Series (SUM).
The potential of optoelectronic hardware to achieve brain-scale neuromorphic computing is assessed. Both superconducting and semiconducting systems with direct optical synaptic connections are analyzed. The possibility of integrated memory, the poten