by Frank Alexander Kraemer, Nattachart Tamkittikhun and Anders Eivind Braten (NTNU)

Inevitably, there will be a huge number of sensor devices within the internet of things (IoT) - but how can we possibly manage to optimise each and every one of them? Our answer is to treat them as autonomous units, much like robots. To this end we have been experimenting with different approaches to find out how constrained devices can benefit from machine learning, so that they can operate optimally.

by Leonel Sousa and Aleksandar Ilic (INESC-ID)

Researchers from INESC-ID, Instituto Superior Técnico, University of Lisbon proposed a set of fundamental Cache-aware Roofline models, which provide a simple and intuitive way of visually representing the limits of parallel processing on multi-core processors.

by Alejandro Moreo Fernandez, Andrea Esuli and Fabrizio Sebastiani (ISTI-CNR)

Researchers from ISTI-CNR, Pisa (in a joint effort with the Qatar Computing Research Institute), have undertaken an effort aimed at producing more accurate and more efficient means of performing poly-lingual text classification, i.e., automatic text classification in which classifying text in one language can also leverage training data expressed in a different language.

by Péter Bauer, Antal Hiba, Bálint Daróczy, Márk Melczer, Bálint Vanek (MTA SZTAKI)

The Institute for Computer Science and Control (SZTAKI) of the Hungarian Academy of Sciences (MTA) continues active research in the field of aircraft sense and avoid since six years. The sense (see) and avoid capability is a crucial ability in integrating unmanned aerial vehicles (UAVs) into the national airspace. SZTAKI focuses on the development of a monocular camera based on-board system, which processes image data in real-time and initiates collision avoidance if required. Capabilities of the system are continuously tested in real flight applying small UAVs testbeds.

by Valerie Brasse (IS4RI and euroCRIS)

The purpose of virtual research environments (VREs) is to support research stakeholders throughout the research life-cycle. In order to describe the expectations and requirements at each stage of the life-cycle, high-level use-cases have been developed in the VRE4EIC project, which has developed a Europe-wide interoperable VRE to facilitate innovation and collaboration between multidisciplinary research communities.

Next issue: April 2021
Special theme:
"Brain-Inspired Computing"
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