Friday 28 October 2016

Give and Receive Financial Help: Join MMM Today

It's often difficult to easily accept new ideas especially when it
involves parting with money. I had my doubts too, until I gave it a
trial. Now I urge everyone to give it a trial too. Join MMM, you can
start with providing a little help if you have doubts. I assure you
that your confidence in it will grow, just like mine. Click on the
link below and register or contact me for guidance . God bless you
all.
http://nigeria-mmm.net/?i=ucheihejirika9@gmail.com

MMM is a community of people on internet, just like the Facebook is
online. In this case, registered participants provide financial help
to one another. The rule is that a participant must provide help
before he or she qualifies to receive one. A participant is qualified
to receive the amount he/she provided as help, plus 30% of it, plus
huge bonuses, especially if one refers other persons to join. For
example, if a participant provides nelp of N200k today to another
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request for help as follows:
N200k+N60k+50 dollars welcome bonus + more bonuses if he/she referred
others to join.
You can register by clicking on "Register" after the link above opens.
The link contains my email address as the one who referred you to
join, also, I will help you register if you want to. I don't see
anything to fear in it, since there is no central fund that can be
stolen. People just pay the money into one another's bank accounts. I
assure you that you won't lose any amount you invest in it.. Do not
worry about whether you can refer people to it or not, as it is a
matter of choice.

Tuesday 25 October 2016

Scientists develop Robot Judge that can give verdict on legal cases

Scientists have built an artificially intelligence,(AI) computer that
was able to look at legal evidence as well as considering ethical
questions to decide how a case should be decided. And it predicted
those with 79 per cent accuracy, according to its creators.


The AI judge has accurately predicted most verdicts of the European
Court of Human Rights, and might soon be making important decisions
about cases.

The algorithm looked at data sets made up 584 cases relating to
torture and degrading treatment, fair trials and privacy. The computer
was able to look through that information and make its own decision –
which lined up with those made by Europe's most senior judges in
almost every case.

The researchers say that the computer judge isn't likely to take the
place of judges any time soon. But it could be used to help them out –
prioritising cases that are clearly important or need to be heard, for
instance.

Lead researcher Dr Nikolaos Aletras, from University College London,
said: "We don't see AI replacing judges or lawyers, but we think
they'd find it useful for rapidly identifying patterns in cases that
lead to certain outcomes.

"It could also be a valuable tool for highlighting which cases are
most likely to be violations of the European Convention on Human
Rights."

The researchers found during the creation of the programme that the
European Court of Human Rights judges tended to look more at non-legal
factors than the strictly legal arguments made in the case. In law,
that puts the judges in the camp of "realists" rather than
"formalists" and fits with other courts like the US Supreme Court.

The developers were able to use information like that to find that the
court's decisions relied largely on the kind of language used, as well
as what topics were mentioned in the court texts.

Co-author Dr Dimitrios Tsarapatsanis, a law lecturer from the
University of Sheffield, said: "The study, which is the first of its
kind, corroborates the findings of other empirical work on the
determinants of reasoning performed by high level courts.

"It should be further pursued and refined, through the systematic
examination of more data."

UCL computer scientist Dr Vasileios Lampos added: "Previous studies
have predicted outcomes based on the nature of the crime, or the
policy position of each judge, so this is the first time judgements
have been predicted using analysis of text prepared by the court.

"We expect this sort of tool would improve efficiencies of high level,
in demand courts, but to become a reality, we need to test it against
more articles and the case data submitted to the court."

The findings are published in the journal PeerJ Computer Science

Curled from www.independent.co.uk