Smart Photonics Labs
@smartphotonicslabs.bsky.social
The official account of the Smart Photonics Research Group @ Leibniz Institute of Photonic Technology in Jena, Germany. Science updates only. Posts by Mario Chemnitz (head of the group)
🚀 that we are able to accurately adjust a nonlinear transformation down to the linear limit so to process linear and more nonlinear inference tasks with the same unit,
🚀 and a highly promising pathway towards computing with turbulent systems.
Stay tuned. Exciting times ahead.
🚀 and a highly promising pathway towards computing with turbulent systems.
Stay tuned. Exciting times ahead.
March 22, 2025 at 9:25 AM
🚀 that we are able to accurately adjust a nonlinear transformation down to the linear limit so to process linear and more nonlinear inference tasks with the same unit,
🚀 and a highly promising pathway towards computing with turbulent systems.
Stay tuned. Exciting times ahead.
🚀 and a highly promising pathway towards computing with turbulent systems.
Stay tuned. Exciting times ahead.
Still in 2025, we will show
🚀 that an extreme learning framework operating on nonlinear frequency mixing outperforms a 5-layer deep network in a provably scalable nonlinear task (lnkd.in/ePq8xQzC),
🚀 that an extreme learning framework operating on nonlinear frequency mixing outperforms a 5-layer deep network in a provably scalable nonlinear task (lnkd.in/ePq8xQzC),
LinkedIn
This link will take you to a page that’s not on LinkedIn
lnkd.in
March 22, 2025 at 9:25 AM
Still in 2025, we will show
🚀 that an extreme learning framework operating on nonlinear frequency mixing outperforms a 5-layer deep network in a provably scalable nonlinear task (lnkd.in/ePq8xQzC),
🚀 that an extreme learning framework operating on nonlinear frequency mixing outperforms a 5-layer deep network in a provably scalable nonlinear task (lnkd.in/ePq8xQzC),
📍Analog neuromorphic computing in optical fibers and waveguides
📍The foundations of various concepts, incl deep learning, supervised/unsupervised learning, and inference capacity
📍Large-scale parallel and ultrafast computing using adaptive optics and programmable fibers.
📍The foundations of various concepts, incl deep learning, supervised/unsupervised learning, and inference capacity
📍Large-scale parallel and ultrafast computing using adaptive optics and programmable fibers.
March 22, 2025 at 9:25 AM
📍Analog neuromorphic computing in optical fibers and waveguides
📍The foundations of various concepts, incl deep learning, supervised/unsupervised learning, and inference capacity
📍Large-scale parallel and ultrafast computing using adaptive optics and programmable fibers.
📍The foundations of various concepts, incl deep learning, supervised/unsupervised learning, and inference capacity
📍Large-scale parallel and ultrafast computing using adaptive optics and programmable fibers.
What else can be done now?!
Straight answer: Analog computing. Neurons are not digital, they operate on analog electrochemistry.
You want to learn the basics of such analog computing concepts with classical light? Follow our group and learn about: […]
Straight answer: Analog computing. Neurons are not digital, they operate on analog electrochemistry.
You want to learn the basics of such analog computing concepts with classical light? Follow our group and learn about: […]
March 22, 2025 at 9:25 AM
What else can be done now?!
Straight answer: Analog computing. Neurons are not digital, they operate on analog electrochemistry.
You want to learn the basics of such analog computing concepts with classical light? Follow our group and learn about: […]
Straight answer: Analog computing. Neurons are not digital, they operate on analog electrochemistry.
You want to learn the basics of such analog computing concepts with classical light? Follow our group and learn about: […]