by Andreas Holzinger (Medical University Graz and Alberta Machine Intelligence Institute Edmonton, Canada), Peter Kieseberg (University of Applied Sciences, St.Poelten) and Heimo Mülller (Medical University Graz)

Kandinsky Patterns are mathematically describable, simple, self-contained, hence controllable test datasets for the development, validation and training of explainability in artificial intelligence (AI) and machine learning (ML).

by Ilias Iliadis (IBM Research – Zurich Laboratory)

A huge and rapidly growing amount of information needs to be stored on storage devices and on the cloud. Cloud users expect fast, error-free service. Cloud suppliers want to achieve this high quality of service efficiently to minimise cost. Redundancy, in particular erasure coding, is widely used to enhance the reliability of storage systems and protect data from device and media failures. An efficient system design is key for optimising operation.

by Ahmet Soylu and Till C. Lech (SINTEF)

Annually, around 14% of the EU’s GDP is spent on the procurement of goods and services by over 250,000 public authorities. Imfproving the effectiveness, efficiency, transparency and accountability of government procurement is therefore in the public’s interest. The increasing amount of open procurement data enables us to analyse public spending to deliver better quality  and more economical public services, prevent fraud and corruption, and build healthy and sustainable economies.

by Gregor Dürrenberger (FSM) and Harry Rudin

The tumult surrounding 5G continues in Switzerland. The telecommunications providers are intensely promoting 5G; industry is waiting for 5G, citizens are concerned about potential health issues associated with 5G, and the press is full of articles about 5G. In a few years, the technology will also use millimetre-wave transmission. In anticipation of this in June this year the Swiss Research Foundation for Electricity and Mobile Communication (FSM) at the Swiss Federal Institute of Technology in Zurich organised a millimetre-wave workshop.

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