Publications associées à Resource-efficient photonic networks for next-generation AI computing

Publications associées (21)

An ultra-broadband photonic-chip-based parametric amplifier

Tobias Kippenberg, Johann Emmeram Riemensberger, Mikhail Churaev, Nikolai Kuznetsov, Alisa Davydova, Alberto Nardi

Optical amplification, crucial for modern communication, primarily relies on erbium-doped fibre amplifiers (EDFAs)1,2. Yet, EDFAs only cover a portion of the low-loss spectrum of optical fibres. This has motivated the development of amplifiers operating be ...

NATURE PORTFOLIO2025

Power Control in Non-Hermitian Lattices Through Singular Value Decomposition

Demetri Psaltis

Periodic structures in optics, like gratings or photonic crystals have played a pivotal role in both basic and applied research applications over the decades [1]. As far as, integrated photonics is concerned, another highly relevant optical structure, that ...

IEEE2025

Micro- and nanofabrication techniques for single crystal diamond photonics

Christophe Marcel Georges Galland

Synthetically grown high-quality single crystal diamond is an excellent base material for quantum photonics. Planar single crystal diamond substrates several square millimeters in size are nowadays commercially available. They can be precisely structured u ...

Elsevier2025

Floquet topological physics in photonics

Romain Christophe Rémy Fleury, Haoye Qin, Zhe Zhang

Floquet topological physics, an area exploring periodically driven systems and leveraging degrees of freedom in the temporal dimension, has opened new avenues in photonics by enabling the creation of novel topological phases, new control mechanisms, and in ...

Optica Publishing Group2025

Automated Ensemble Multimodal Machine Learning for Healthcare

Lucas Salomon Brunschwig

The application of machine learning in medicine and healthcare has led to the creation of numerous diagnostic and prognostic models. However, despite their success, current approaches generally issue predictions using data from a single modality. This stan ...

2025

Adaptive Test-Time Learning Under Domain Shift: From Augmentation to Prolonged Adaptation

Devavrat Tomar

Deep neural networks often fail to generalize when deployed in dynamic and unpredictable real-world environments, where data distributions at test time can differ significantly from those encountered during training. Since simulating all possible distribut ...

EPFL2025

Label Critic: Design Data Before Models

Andrea Cavalli

As medical datasets rapidly expand, creating detailed annotations of different body structures becomes increasingly expensive and time-consuming. We consider that requesting radiologists to create detailed annotations is unnecessarily burdensome and that p ...

IEEE Computer Society2025

Generative spatial artificial intelligence for sustainable smart cities: A pioneering large flow model for urban digital twin

Paul Erich Keel, Jeffrey Huang, Simon Elias Bibri

Rapid urbanization, alongside escalating resource depletion and ecological degradation, underscores the critical need for innovative urban development solutions. In response, sustainable smart cities are increasingly turning to cutting-edge technologies—su ...

2025

Accelerating MoE Model Inference with Expert Sharding

André Loureiro Espírito Santo, Anne-Marie Kermarrec, Rafael Pereira Pires, Marinus Abraham de Vos, Milos Vujasinovic

Mixture of experts (MoE) models achieve state-of-the-art results in language modeling but suffer from inefficient hardware utilization due to imbalanced token routing and communication overhead. While prior work has focused on optimizing MoE training and d ...

Association for Computing Machinery2025

Reversible Laser Imprinting of Phase Change Photonic Structures in Integrated Waveguides

Ivan Sinev

Formation of laser-induced periodic surface structures (LIPSS) is known as a fast and robust method of functionalization of material surfaces. Of particular interest are LIPSS that manifest as periodic modulation of phase state of the material, as it impli ...

2024

Ultrafast Tunable Photonic Integrated E-DBR Pockels Laser

Tobias Kippenberg, Johann Emmeram Riemensberger, Anat Siddharth, Zheru Qiu, Simone Bianconi

The hybrid integration of III-V gain media with low-loss photonic integrated circuits has advanced the performance of laser systems in terms of laser stability and coherence. The advent of lithium niobate on insulator (LNOI) photonics for self-injection lo ...

Springer Science and Business Media Deutschland GmbH2024

Free-electron interaction with nonlinear optical states in microresonators

Tobias Kippenberg, Rui Ning Wang, Arslan Sajid Raja, Guanhao Huang, Zheru Qiu, Alexey Tikan, Aleksandr Tusnin, Yujia Yang

The short de Broglie wavelength and strong interaction empower free electrons to probe structures and excitations in materials and biomolecules. Recently, electron-photon interactions have enabled new optical manipulation schemes for electron beams. In thi ...

American Association for the Advancement of Science2024

Broadband and high-gain continuous-wave parametric amplification in a Gallium Phosphide waveguide

Tobias Kippenberg, Johann Emmeram Riemensberger, Mikhail Churaev, Nikolai Kuznetsov, Alisa Davydova, Alberto Nardi

We demonstrate the first broadband and high gain third-order parametric optical amplifier in a 5.5 cm long GaP waveguide spiral with up to 25 dB net gain off-chip and more than 10 dB amplification over a bandwidth of 140 nm. ...

Institute of Electrical and Electronics Engineers Inc.2024

Wide-Field Polarimetric Second-Harmonic Imaging for Rapid and Nondestructive Investigation of Laser-Induced Crystallization Phenomena

Yves Bellouard, Seonwoo Lee

The selective and controlled formation of nanocrystals in glass is emerging as a versatile method to achieve functional photonics, optoelectronics, and quantum devices, such as single-photon emitters. Here, we investigate the use of wide-field polarimetric ...

American Chemical Society (ACS)2024

SAMPa: Sharpness-aware Minimization Parallelized

Volkan Cevher, Thomas Michaelsen Pethick, Wanyun Xie

Sharpness-aware minimization (SAM) has been shown to improve the generalization of neural networks. However, each SAM update requires sequentially computing two gradients, effectively doubling the per-iteration cost compared to base optimizers like SGD. We ...

2024

The impact of the resistive-wall impedance on the ILSF storage ring

Mina Akhyani

The resistive contribution of the vacuum chamber represents a significant source of the collective effects and should be analysed in several aspects. Due to the NEG-coated redesigned ILSF vacuum chamber, the resistive-wall effects were carefully studied. T ...

Iop Publishing Ltd2024

Déjà Vu: Uncanny and Serendipitous Re-encountering of Audiovisual Archives

Yuchen Yang

The advent of the "generative age"marks a pivotal moment in AI evolution, with models like OpenAI's GPT-4 and DALL-E transforming content creation across various fields. These advancements bring unprecedented efficiency and new applications but also presen ...

Association for Computing Machinery, Inc2024

Mesh Neural Cellular Automata

Sabine Süsstrunk, Tong Zhang, Ehsan Pajouheshgar, Yitao Xu

Texture modeling and synthesis are essential for enhancing the realism of virtual environments. Methods that directly synthesize textures in 3D offer distinct advantages to the UV-mapping-based methods as they can create seamless textures and align more cl ...

Association for Computing Machinery (ACM)2024

Content-Based Objective Evaluation of Artificially Generated Sign Language Videos

Neha Tarigopula

Sign language is vital for communication within the deaf and hard-of-hearing community. Avatar-based methods and deep learning techniques like Generative Adversarial Networks have shown promise in generating sign language video content. One of the challeng ...

IEEE2024

Automatic simulation of electrochemical sensors by machine learning for drugs quantification

Sandro Carrara, Francesca Rodino, Lin Du

Multiple drug concentrations concurrent detection and quantification based on electrochemical sensors are of great importance for therapeutic drug monitoring (TDM) and the development of personalized therapy. Cyclic voltammogram (CV) results obtained by el ...

Pergamon-Elsevier Science Ltd2024