HDTorch: Accelerating Hyperdimensional Computing with GP-GPUs for Design Space Exploration
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In this lesson you will learn about text reuse detection – the automatic identification of reused passages in texts – and why you might want to use it in your research. Through a detailed installation guide and two case studies, this lesson will teach you ...
In the field of haptic feedback, LAI is working on a way of localizing impact vibrations through machine learning algorithms. In this semester project, the goal is to extend a one-dimensional system into a two-dimensional system with a demonstrator surface ...
Over the past three years, the Go-Lab Goes Africa (GO-GA) initiative has focused on promoting and implementing digital education in Africa. GO-GA is a Horizon 2020 innovation action supported by the European Commission. One of the outcomes of this initiati ...
Byzantine robustness has received significant attention recently given its importance for distributed and federated learning. In spite of this, we identify severe flaws in existing algorithms even when the data across the participants is identically distri ...
The recent generations of massive spectroscopic surveys aim at the ray collection from a multitude of cosmological targets in the course of observations. For this purpose, astrobots are used to change the configuration of optical fibers from one observatio ...
Theoretical and computational approaches to the study of materials and molecules have, over the last few decades, progressed at an exponential rate. Yet, the possibility of producing numerical predictions that are on par with experimental measurements is t ...
A major challenge in the common approach of hot water generation in residential houses lies in the highly stochastic nature of domestic hot water (DHW) demand. Learning hot water use behavior enables water heating systems to continuously adapt to the stoch ...
Ecological surveys increasingly rely on large‐scale image datasets, typically terabytes of imagery for a single survey. The ability to collect this volume of data allows surveys of unprecedented scale, at the cost of expansive volumes of photo‐interpretati ...
This document presents the choice and the optimization of a supervised classification algorithm, applied on plantar pressure measurements. Its purpose is to classify, based on pressure data coming from a smart insole, whether the user has risks of foot ulc ...
We present an analysis of the SwissCovid application which is currently being tested. We observe that the essential part of SwissCovid is under the control of Apple and Google. Outsourcing the heart of SwissCovid to Apple and Google has apparent benefits i ...