Concept

Data processing unit

Publications associées (32)

Multicore fiber endoscope for phase imaging based on intensity recording using deep neural networks

Demetri Psaltis, Christophe Moser, Navid Borhani, Eirini Kakkava

The present invention is related to an endoscopic system for phase imaging, comprising a multicore waveguide (080), an optical system comprising at least one first light source (002), for illuminating the sample to be examined, a first camera (010) that is ...

2022

UAV in the advent of the twenties: Where we stand and what is next

Jan Skaloud, Davide Antonio Cucci

The use of Unmanned Aerial Vehicles (UAVs) has surged in the last two decades, making them popular instruments for a wide range of applications, and leading to a remarkable number of scientific contributions in geoscience, remote sensing and engineering. H ...

2022

Hardware and Software Support for RPC-Centric Server Architecture

Mark Johnathon Sutherland

Online services have become ubiquitous in technological society, the global demand for which has driven enterprises to construct gigantic datacenters that run their software. Such facilities have also recently become a substrate for third-party organizatio ...

EPFL2022

Compact Circuits for Combined AES Encryption/Decryption

Subhadeep Banik

The implementation of the AES encryption core by Moradi et al. at Eurocrypt 2011 is one of the smallest in terms of gate area. The circuit takes around 2400 gates and operates on an 8 bit datapath. However this is an encryption only core and unable to cate ...

2019

State-Of-The-Art of Research on Distributed Optical Fibre Sensors

Luc Thévenaz, Zhisheng Yang

Optical fibres offer the possibility to realize distributed sensing, which means that each point along the fibre can separately and selectively sense quantities such as temperature, strain, acoustics, and pressure, in total similarity to a real organic ner ...

2018

Smart Camera Architectures for Wireless and Multi-Sensor Vision Applications

Selman Ergünay

Advances in camera sensor technology and its manufacturing process now allow high quality image acquisition with low-cost devices. Moreover, the latest significant increase in computational capacity of the processing units enables incorporation of more com ...

EPFL2018

Massively parallel data processing for quantitative total flow imaging with optical coherence microscopy and tomography

Theo Lasser, Paul James Marchand, Daniel Pawel Szlag, Marcin Antoni Sylwestrzak

We present an application of massively parallel processing of quantitative flow measurements data acquired using spectral optical coherence microscopy (SOCM). The need for massive signal processing of these particular datasets has been a major hurdle for m ...

Elsevier2017

A PLiM Computer for the Internet of Things

Giovanni De Micheli, Mathias Soeken, Pierre-Emmanuel Julien Marc Gaillardon

Emerging applications are dramatically changing computer architecture requirements, with a shift toward big data that is processed using simple computations. A programmable logic-in-memory (PLiM) computer can allow memory cells to perform primitive logic o ...

2017

SCCER-FURIES - A decision support tool for the geo-localised design and assessment of the integration of multi-carrier/multi-services/multi-grids innovative energy conversion systems in urban systems and industrial clusters - Deliverable 1.5.4

François Maréchal, Luc Girardin, Paul Michael Stadler

The computing platform (OSMOSELua) has been developed in the Industrial Process and Energy Systems Engineering group IPESE at EPFL as a flexible and robust tool for the design of complex integrated energy systems. The decision tool has been developed using ...

2017

Neural assemblies as core elements for modeling neural networks in the brain

Hesam Setareh

How does the brain process and memorize information? We all know that the neuron (also known as nerve cell) is the processing unit in the brain. But how do neurons work together in networks? The connectivity structure of neural networks plays an important ...

EPFL2017

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