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Learning from Demonstration (LfD), also called Programming by Demonstration (PbD), refers to the process used to transfer new skills to a machine by relying on demonstrations from a user. It is inspired by the imitation capability developed by humans and a ...
We present a tool for measuring network service latency times under high network load. This tool is a proof-of-concept application designed to show the viability of using programmable network data planes as a basis for both generating a high rate of networ ...
Current online applications, such as search engines, social networks, or file sharing services, execute across a distributed network of machines. They provide non-stop services to their users despite failures in the underlying network. To achieve such a hi ...
The need for good software training is essential in the HEP community. Unfortunately, current training is non -homogeneous and the definition of a common baseline is unclear, making it difficult for newcomers to proficiently join large collaborations such ...
Trusted Execution Environments (TEEs), such as Intel SGX enclaves, use hardware to ensure the confidentiality and integrity of operations on sensitive data. While the technology is available on many processors, the complexity of its programming model and i ...
Energy efficiency remains a challenge for the design of non-volatile resistive memories (ReRAMs) arrays. This memory technology suffers from intrinsic variability in switching speed, programming voltages and resistance levels. The programming conditions of ...
The presence of white matter lesions in patients with cerebral small vessel disease (SVD) is among the main causes of cognitive decline. We investigated the relation between white matter hyperintensity (WMH) locations and executive and language abilities i ...
Historical newspapers are of interest to many humanities scholars as sources of information and language closely tied to a particular time, social context and place. Digitised newspapers are also of interest to many data-driven researchers who seek large b ...
Many different data analytics tasks boil down to linear algebra primitives. In practice, for each different type of workload, data scientists use a particular specialised library. In this paper, we present Pilatus, a polymorphic iterative linear algebra la ...
Fully-Homomorphic Encryption (FHE) offers powerful capabilities by enabling secure offloading of both storage and computation, and recent innovations in schemes and implementations have made it all the more attractive. At the same time, FHE is notoriously ...
