Tiago D. Ferreira
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View article: Probing a theoretical framework for a Photonic Extreme Learning Machine
Probing a theoretical framework for a Photonic Extreme Learning Machine Open
The development of computing paradigms alternative to von Neumann architectures has recently fueled significant progress in novel all-optical processing solutions. In this work, we investigate how the coherence properties can be exploited …
View article: Optical Extreme Learning Machines with Atomic Vapors
Optical Extreme Learning Machines with Atomic Vapors Open
Extreme learning machines explore nonlinear random projections to perform computing tasks on high-dimensional output spaces. Since training only occurs at the output layer, the approach has the potential to speed up the training process an…
View article: Optical Extreme Learning Machines with Atomic Vapors
Optical Extreme Learning Machines with Atomic Vapors Open
Extreme learning machines explore nonlinear random projections to perform computing tasks on high-dimensional output spaces. Since training only occurs at the output layer, the approach has the potential to speed up the training process an…
View article: Optical Feedback Loop in Paraxial Fluids of Light: A Gate to new phenomena in analogue physical simulations
Optical Feedback Loop in Paraxial Fluids of Light: A Gate to new phenomena in analogue physical simulations Open
Easily accessible through tabletop experiments based on laser propagation inside nonlinear optical media, Paraxial Fluids of Light are emerging as promising platforms for the simulation and exploration of quantum-like phenomena. In particu…
View article: Autonomous and intelligent optical tweezers for improving the reliability and throughput of single particle analysis
Autonomous and intelligent optical tweezers for improving the reliability and throughput of single particle analysis Open
Optical tweezers are an interesting tool to enable single cell analysis, especially when coupled with optical sensing and advanced computational methods. Nevertheless, such approaches are still hindered by system operation variability, and…
View article: Exploring the dynamics of the Kelvin-Helmoltz instability in paraxial fluids of light
Exploring the dynamics of the Kelvin-Helmoltz instability in paraxial fluids of light Open
Paraxial fluids of light have recently emerged as promising analogue physical simulators of quantum fluids using laser propagation inside nonlinear optical media. In particular, recent works have explored the versatility of such systems fo…
View article: Exploring the hidden dimensions of an optical extreme learning machine
Exploring the hidden dimensions of an optical extreme learning machine Open
Extreme Learning Machines (ELMs) are a versatile Machine Learning (ML) algorithm that features as the main advantage the possibility of a seamless implementation with physical systems. Yet, despite the success of the physical implementatio…
View article: Reservoir computing with nonlinear optical media
Reservoir computing with nonlinear optical media Open
Reservoir computing is a versatile approach for implementing physically Recurrent Neural networks which take advantage of a reservoir, consisting of a set of interconnected neurons with temporal dynamics, whose weights and biases are fixed…
View article: Towards the experimental observation of turbulent regimes and the associated energy cascades with paraxial fluids of light
Towards the experimental observation of turbulent regimes and the associated energy cascades with paraxial fluids of light Open
The propagation of light in nonlinear optical media has been widely used as a tabletop platform for emulating quantum-like phenomena due to their similar theoretical description to quantum fluids. These fluids of light are often used to st…
View article: Nematic Liquid Crystals as a Tabletop Platform for Studying Turbulence
Nematic Liquid Crystals as a Tabletop Platform for Studying Turbulence Open
Light propagating in nonlinear optical materials opens the possibility to emulate quantum fluids of light with accessible tabletop experiments by taking advantage of the hydrodynamical interpretation. In this context, various optical mater…
View article: Unravelling an optical extreme learning machine
Unravelling an optical extreme learning machine Open
Extreme learning machines (ELMs) are a versatile machine learning technique that can be seamlessly implemented with optical systems. In short, they can be described as a network of hidden neurons with random fixed weights and biases, that …
View article: Pressureless static solutions in a Newton-Yukawa gravity model
Pressureless static solutions in a Newton-Yukawa gravity model Open
Non-minimally coupled curvature-matter gravity models are an interesting\nalternative to the Theory of General Relativity and to address the dark energy\nand dark matter cosmological problems. These models have complex field\nequations tha…
View article: Reservoir computing with solitons
Reservoir computing with solitons Open
Reservoir computing is a promising framework that facilitates the approach to physical neuromorphic hardware by enabling a given nonlinear physical system to act as a computing platform. In this work, we exploit this paradigm to propose a …
View article: (INVITED) Exploring quantum-like turbulence with a two-component paraxial fluid of light
(INVITED) Exploring quantum-like turbulence with a two-component paraxial fluid of light Open
Fluids of light is an emergent topic in optical sciences that exploits the fluid-like properties of light to establish controllable and experimentally accessible physical analogues of quantum fluids. In this work we explore this concept to…
View article: Using numerical methods from nonlocal optics to simulate the dynamics of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>N</mml:mi></mml:math>-body systems in alternative theories of gravity
Using numerical methods from nonlocal optics to simulate the dynamics of -body systems in alternative theories of gravity Open
The generalized Schrödinger-Newton system of equations with both local and nonlocal nonlinearities is widely used to describe light propagating in nonlinear media under the paraxial approximation. However, its use is not limited to optical…
View article: Magnetostriction in Amorphous Co<sub>66</sub>Fe<sub>34</sub> Microcantilevers Fabricated with Hydrogenated Amorphous Silicon
Magnetostriction in Amorphous Co<sub>66</sub>Fe<sub>34</sub> Microcantilevers Fabricated with Hydrogenated Amorphous Silicon Open
To study the magnetostriction of Co66Fe34 thin films, amorphous silicon microcantilevers were prepared by surface micromachining, and the 136 nm-thick magnetostrictive film was deposited by electron beam physical vapor deposition and patte…
View article: Context Classifier for Service Robots
Context Classifier for Service Robots Open