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Athens Macedonian News Agency: News in English, 16-12-21
CONTENTS
[01] Short-term measures for Greek debt to unlock without new EuroWorking
Group meeting, sources say
[02] UK-based Greek scientists help develop AI 'judge' that predicts
European Court rulings
[01] Short-term measures for Greek debt to unlock without new EuroWorking
Group meeting, sources say
A solution that will unlock short-term debt relief measures for Greece is
imminent and will not be linked to a completion of the second review,
Greek government sources close to the relevant discussions said on
Wednesday.
"A solution will be found that will soon unlock the short-term debt
relief measures. The implementation of the latter will not be linked to
the completion of the review," the source said.
Asked about the discussion underway at the EuroWorking Group on the
Greek government's recently passed Christmas bonus for pensioners and
the measures suspending a VAT hike for the northeastern Aegean islands
worst affected by the refugee crisis, the same sources appeared confident
that a new EWG meeting or teleconference will not be needed in order to
allay the concerns raised by the institutions.
[02] UK-based Greek scientists help develop AI 'judge' that predicts
European Court rulings
A team of Greek scientists and legal experts based in the United Kingdom
have helped to develop a groundbreaking artificial intelligence (AI)
algorithm that is able to predict the rulings of the European Court of
Human Rights (ECHR) in Strasbourg with almost 80 pct accuracy.
Presenting their software at the Free Thinking Zone venue in Athens
earlier in the week, Dr. Nikolaos Aletras from the Computer Science
department at University College London and Dr. Dimitris Tsarapatsanis
of the Sheffield University School of Law said it was able to analyse
case documents and reach a decision on whether specific articles of the
European Convention on Human Rights had been violated. In roughly four
out of five cases, the software reached the same decision as real judges,
they said.
The scientists parsed some 584 cases from the ECHR data base and then
developed a machine learning algorithm to analyse the English of case
text to locate common patterns and use them to predict the outcome
of rulings. It also analysed other factors in the text that appeared
to assist prediction, such as key words, the topic of the case or its
general circumstances and background.
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