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Tag: Computer Science

On the road

17 June 2022

In search of the origin of life in Boston

By Philipp Honegger

Philipp Honegger left for the United States in the middle of the pandemic to pursue his research at the interface of chemistry and computer science at Harvard Medical School. In his guest article for scilog, this Schrödinger fellow explains why the discovery of self-replicating molecules is of interest both for the origin of life and […] Continue reading “In search of the origin of life in Boston”

Projects

31 January 2022

Human-centred artificial intelligence

New EU directives require decisions made by artificial intelligence to be explainable, which is a problem for neural networks. The computer scientist Andreas Holzinger is doing pioneering work in the field of interactive machine learning to ensure greater transparency for such AI processes. In recognition of his achievements he has now been elected a Fellow […] Continue reading “Human-centred artificial intelligence”

Projects

11 October 2021

A sleep mode for Siri and Alexa

The AI researcher Franz Pernkopf and his research team investigated how to reduce the resource hunger of neural networks that provide speech and image recognition in our everyday lives. Their curiosity led the researchers to completely new solutions. Continue reading “A sleep mode for Siri and Alexa”
Two physicians discussing data analysis shown on their computer screen.

Projects

1 February 2021

The situations when computers make better decisions

It is not easy for physicians always to know who benefits from what method of treatment. In the context of an international project, a research group led by the computer biologist Dieter Maier is using artificial intelligence to analyse patient data in order to offer assistance and to better prepare doctors for individual therapy design […] Continue reading “The situations when computers make better decisions”

Interview & Opinion

19 June 2020

Upgrading the toolkit for AI problems

Interview: Astrid Kuffner

Robert Ganian wants to modify a well-proven theoretical computer science toolkit so it can be used for the booming field of artificial intelligence and machine learning. In order to extend the so-called parameterised complexity theory to this rapidly growing area of application, he needs to bring together expertise from various fields. At the end of […] Continue reading “Upgrading the toolkit for AI problems”

Projects

8 April 2019

Instilling order and knowledge into the flood of data

In the context of a project funded by the Austrian Science Fund FWF, a research group from the St. Pölten University of Applied Sciences has developed a versatile framework for data visualisation that permits easy integration of expert knowledge. Continue reading “Instilling order and knowledge into the flood of data”

Projects

15 January 2018

Smart objects for people with autism

In a project funded by the Austrian Science Fund FWF, a research group of the Vienna University of Technology examined new roles for digital technology in the life of children with Autism Spectrum Conditions (ASCs). They co-operated closely with the children so as to be guided by their ideas and lifeworlds. Continue reading “Smart objects for people with autism”

Projects

16 January 2017

Using mathematics to hunt for computer errors

Improving the security of computer software and hardware requires mathematical analytic methods. Thanks to research by a team of computer scientists led by Krishnendu Chatterjee in a project funded by the Austrian Science Fund FWF, these methods will work significantly faster in the future. Continue reading “Using mathematics to hunt for computer errors”

Projects

27 December 2016

Identifying tomorrow’s hit music today

In a project supported by the Austrian Science Fund FWF, computer scientist Markus Schedl explores how music can be analysed with the help of data drawn from social media. His goal is to automate music selection, calibrated to match the listening habits of an individual and the occasion. Continue reading “Identifying tomorrow’s hit music today”

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