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The Optical Computing Revolution
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The Optical Fourier Engine: A Fourier transform accelerator in arbitrary number of dimensions
The Optical Fourier Engine: A Fourier transform accelerator in arbitrary number of dimensions
We show that the optical Fourier core can be used to compute Fourier transforms in any dimension
Florent Michel
Apr 9
Neurosymbolic AI: Combining Logic Tensor Networks and Computer Vision
Neurosymbolic AI: Combining Logic Tensor Networks and Computer Vision
In our previous article on self-driving vehicles, we explored some of the nuances of the two most common algorithmic approaches…
Edward Cottle
Mar 22
Self-driving vehicles and Fourier-optical computing: A way forward?
Self-driving vehicles and Fourier-optical computing: A way forward?
Over the past half year at Optalysys, we’ve tested the prototype of our novel Fourier-optical processor technology in a broad range of…
Optalysys
Mar 5
Simulating wave propagation with the optical Fourier Engine
Simulating wave propagation with the optical Fourier Engine
We show that the Optalysys Fourier engine can accurately simulate wave propagation, including dispersive and dissipative effects
Florent Michel
Mar 4
Deep learning and fluid dynamics: Solving the Navier-Stokes equations with an optical neural…
Deep learning and fluid dynamics: Solving the Navier-Stokes equations with an optical neural…
Using optical computing and deep learning for solving the Navier-Stokes equations
Optalysys
Mar 2
Optical computing for computational fluid dynamics: An introduction to CFD
Optical computing for computational fluid dynamics: An introduction to CFD
Engineers predict the behaviour of things on a regular basis. “Will this bridge hold under load? Will it hold in high winds? Are there any…
Joseph Wilson
Feb 26
Scaling up: Using Fourier Optics for Bigger Transforms
Scaling up: Using Fourier Optics for Bigger Transforms
The Fourier transform is a phenomenally useful mathematical tool applied throughout the scientific world. Wherever nature contains a…
Optalysys
Feb 11
Optical Computing and Transformer Networks
Optical Computing and Transformer Networks
We show that optical convolutions can be used to build transformer networks, paving the way for making them more efficient using optics
Optalysys
Feb 10
Model Uncertainty in CNNs
Model Uncertainty in CNNs
Industry is becoming increasingly more reliant on computer vision, with large numbers of diverse applications for example robotic surgery…
Edward Cottle
Feb 3
Optical Computing for Cryptography: Fully Homomorphic Encryption
Optical Computing for Cryptography: Fully Homomorphic Encryption
Fourier-Optical computing has the capacity to deliver tremendous improvements in artificial intelligence, but that’s not the only field to…
Joseph Wilson
Jan 15
Optical Computing for Cryptography: Lattice-based Cryptography
Optical Computing for Cryptography: Lattice-based Cryptography
With Florent Michel
Joseph Wilson
Jan 15
Optical Computing for Post-Quantum Cryptography: Why we need PQC
Optical Computing for Post-Quantum Cryptography: Why we need PQC
These days, if you do any reading on the subject of information security, you don’t need to look very far to find a discussion of the…
Joseph Wilson
Jan 14
The MFT System Part 3: Detection
The MFT System Part 3: Detection
If you’ve been reading our previous articles in this series about the workings of our optical computing system, we’ve been…
Optalysys
Jan 14
The MFT System Part 2: Free Space Optics
The MFT System Part 2: Free Space Optics
In our last article, we explained how we use silicon photonics to control and modulate light with the aim of creating an optical…
Optalysys
Jan 11
The MFT System Part 1: Silicon Photonics
The MFT System Part 1: Silicon Photonics
In our first article, we talked about the basic ideas behind our optical Fourier Transform chip and why we made it a reality. In the…
Optalysys
Jan 8
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