ERCIM News 125
April 2021
Special theme Brain-inspired Computing
Guest editors Robert Haas (IBM Research Europe) and Michael Pfeiffer (Bosch Center for Artificial Intelligence)
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- Category: Research and Innovation
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by Dave Raggett, (W3C/ERCIM)
Human-like general purpose AI will dramatically change how we work, how we communicate, and how we see and understand ourselves. It is key to the prosperity of post-industrial societies as human populations shrink to a sustainable level. It will further enable us to safely exploit the resources of the solar system given the extremely harsh environment of outer space.
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by Maren Parnas Gulnes (University of Oslo / SINTEF AS), Ahmet Soylu (OsloMet – Oslo Metropolitan University) and Dumitru Roman (SINTEF AS)
Advances in technology have allowed the amount of neuroscience data collected during brain research to increase significantly over the past decade. Neuroscience data is currently spread across a variety of sources, typically provisioned through ad-hoc and non-standard approaches and formats, and it often has no connection to other relevant data sources. This makes it difficult for researchers to understand and use neuroscience and related data. A graph-based approach could make the data more accessible.
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by Joanna Georgiou, Chrysovalantis Christodoulou, George Pallis and Marios Dikaiakos (University of Cyprus)
A key challenge in the aviation industry is managing aviation data, which are complex and often derived from heterogeneous data sources. ICARUS Ontology is a domain-specific ontology that addresses this challenge by enhancing the semantic description and integration of the various ICARUS platform assets.
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by Peter Kieseberg, Simon Tjoa and Herfried Geyer (St. Pölten University of Applied Sciences)
Blockchains offer a valuable set of tools to provide resilient distributed solutions for applications that require a high level of integrity. Still, apart from being used to store cryptocurrency data, blockchains are not used in many other areas. This article gives an overview of the major obstacles to the uptake of blockchains, from an information security perspective.
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by Karla Markert (Fraunhofer AISEC)
Automatic speech recognition systems are designed to transcribe audio data to text. The increasing use of such technologies makes them an attractive target for cyberattacks, for example via “adversarial examples”. This article provides a short introduction to adversarial examples in speech recognition and some background on current challenges in research.
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by Patrizio Dazzi (ISTI-CNR)
Cloud computing has played a vital role in the digital revolution. Clouds enable consumers and businesses to use applications without dealing with local installations and the associated complexity. However, a big class of applications is currently being blocked because of their dependency on on-site infrastructures or specialised end-devices but also because they are too latency-sensitive or data-dependent to be moved to the public cloud.