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Prosecute those involved in Jamal Khashoggi killing: European Union – The Sentinel Assam

Brussels: The European Union has urged Saudi Arabia to prosecute those responsible for the killing of journalist Jamal Khashoggi after five people were sentenced to death.

Josep Borrell, High Representative of the European Union for Foreign Affairs, called on Riyadh on Tuesday to bring to justice those responsible and involved in the killing in Istanbul in 2018 after a ruling on the case on Monday, Efe news reported.

He reiterated the need to fully guarantee accountability and prosecution of those responsible and implicated in the murder on 2 October at the Saudi Consulate in Istanbul, a spokesman for the high representative said in a statement.

Borrell added that the practice has to be based on the principles of transparency, respect for legal procedures and due process.

His statement came after Saudi Arabias public prosecution on Monday sentenced five people to death over the killing.

Shalan al-Shalan, a spokesman for the public prosecutor, said in a press conference that three other convicts received a total of 24 years in jail for covering up the crime.

He added that 10 others were released due to a lack of evidence.

Before the verdict, which can still be appealed, Borrell made it clear that the EU was unequivocally opposed to the use of capital punishment without exception.

He described the death sentence as a cruel and inhuman punishment that fails to deter and represents an unacceptable denial of human dignity and integrity.

Khashoggis son praised the sentence, showing confidence in the Saudi judiciary system.

Fairness of the judiciary is based on two principles, fairness and speedy litigation, so there is neither injustice nor procrastination, Salah tweeted.

But a number of authorities, including the Turkish government, criticized the verdict.

Similarly, the United Nations special rapporteur on extrajudicial killings Agnes Callamard, who investigated Khashoggis murder, called the trial a mockery. (IANS)

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Prosecute those involved in Jamal Khashoggi killing: European Union - The Sentinel Assam

Elections and controversies dominate political year – RTE.ie

There is no doubt 2019 has been a dramatic year for Irish politics. There have been near misses with Brexit, the highs and lows of three elections and political controversies.

At the same time all politicians acknowledge more needs to be done in Ireland to address health, housing and the global issue of our time: climate.

Here our political team of David Murphy, Paul Cunningham and Maggie Doyle see what 2019 tells us about the year ahead.

Three elections in 2019 - with the big one to come in 2020

The general election is lurking around the corner, possibly in the early months of 2020. During 2019 politicians had opportunities to assess the public appetite for their policies in the Local and European elections and four by-elections.

There is a lot which can be said about the by-elections and the European contest but perhaps the strongest gauge of what might happen during a general election were the local elections held in May. That is because a massive 949 seats in local authorities were filled and statistically it gives a good indication of the standing of the parties.

The elections showed Fianna Fil enjoyed the largest percentage of the first preference vote at 26.9%, followed by Fine Gael at 25.3%, Independents at 19.6%, Sinn Fin at 9.5%, Labour at5.7%, Greens at 5.5%, Solidarity-People Before Profit at 1.9% and Social Democrats at 2.3%.

The Fianna Fil performance was a strong indication of the party's resurgence, winning 279 seats. The party won a seat in the European elections and is due to take up another seat when Britain leaves the EU. It also had a strong performance in the November by-elections, winning two out of four seats on offer.

While Fine Gael made gains in the local elections the partyfell short of its aim to win 50 additional seats - in the end it won 255. It had a strong showing in the European elections taking up four positions of the initial 11 on offer. However it had poor performance in the by-elections and failed to secure any additional TDs in the Dil.

Perhaps the biggest change in voting patterns was the significant collapse in the Sinn Fin vote in the local elections as its number of councillors dropped from 158 in 2014 to 81 in 2019. While it also lost two seats in the European elections,the party took encouragement from winning a seat in the November by-elections.

2019 was a resounding success story for the Greens. It had 12 seats going into the local elections and three days later there were 49 Green councillors elected throughout the country. It also won two seats in the European elections and one seat in a by-election.

Social Democrats won a respectable 19 seats in the local elections while Solidarity-People Before Profit lost 17 seats, leaving it with 11 councillors.

Confidence and Supply the glue that held Government together

Confidence and Supply, the deal brokered between the two big parties, Fianna Fil and Fine Gael, came under pressure in 2019.

But the pact survived to keep the current coalition of Fine Gael and Independents in place, although on much tighter numbers than before.

The agreement was renewed in December 2018 after the initial May 2016 deal took effect.

In 2018, Fianna Fil leader Michel Martin gave the go-ahead for the minority government to continue through 2019, but with the caveat there would be an election in "early 2020".

Unsurprisingly, it was health and housing that mostly put the agreement under pressure, but Fianna Fils abstention from motions of no-confidence in two government ministers ensured the Government remained in office.

During the debate on the no-confidence motion against Minister for Health Simon Harris in February, Sinn Fin presidentMary Lou McDonald criticised Confidence and Supply, saying it had "undermined and discredited the political process".

Both sides recognised the fragility of it - when the costs of the overrun of the National Childrens Hospital became apparent, Mr Martin said it was "breach" of the agreement.

Minister for Housing Eoghan Murphy said the Confidence and Supply Agreement was "not a perfect arrangement" but that it had created stability at a dangerous time for Ireland during Brexit negotiations.

There was some external recognition for Irelands political harmony. Last April, after another Brexit near miss, the European Parliament Brexit co-ordinator Guy Verhofstadt commended Fianna Fil, in an interview on RTs Claire Byrne Live. He said the party was working in the interests of the country with the agreement.

He said: "We need a little bit more Irish common sense in British politics."

Brexit a year of two UK Prime Ministers

Britains controversial plans to leave the European Union ate up a vast quantities of political energy.

Deadlines came and went. Red lines were crossed. An alphabet soup of arrangements, backstops, plans, deals and protocols soaked up late nights and weekends.

It was a year of two halves -the first dominated by then UK prime minister Theresa May making unsuccessful attempts get a deal across the line the House of Commons.

The second half of the year saw Boris Johnson flirting with leaving the EU without an agreement, only to be blocked by the House of Commons, finally getting a majority after an election and pushing an agreement over the line.

From the point of view of the Irish politics the main aim was to ensure that Irelands interests were a priority for EU negotiators.

Top of that list of demands was ensuring that no hard border was introduced on the island as part of Brexit and the freedom of movement was maintained.

Despite the usual sparring and jousting among politicians in Leinster House, they were aligned on Brexit.

The need to have a stable Government in place while Britain slid from one political crisis to another was paramount to many in Leinster House.

On 7 JuneMrs May resigned and was replaced by Mr Johnson later that month.

A key encounter came on 10 October when Prime Minister Johnson met Taoiseach Leo Varadkar.

Following that meeting a new deal was agreed with EU negotiators.

The deal abandoned the so-called backstop, but also shifted checks to the Irish Sea. That move freed the island of Britain from remaining part of the EU Customs Union - a key sticking point for hard Brexiteers.

It was met with expected opposition from the DUP which had supported the minority Conservative coalition in the House of Commons. Brexit legislation was stalled.

Britain held a general election on 12 December,giving the Conservatives a landslide majority. The development made life easy for the Irish Government and the EU as they now were dealing with a British Prime Minister who could implement their plans with help of a whopping majority.

For Ireland it meant the Withdrawal Agreement would be passed through the House of Commons quickly.

That had a further consequence for Ireland - the raison d'tre forfgener the Confidence and Supplyarrangement to remain in place lapsed -sparking speculation about a general election early in the New Year.

Budget 2020 how the Finance Minister dodged a bullet

Paschal Donohoe, the Minister for Finance, had a tricky task in the run up to the Budget.

He was preparing his economic package as Britain was again flirting with the prospect of leaving the European Union without a deal on 31 October. That scenario would cause enormous economic damage to Ireland and the UK.

Mr Donohoe had two options - A) announce a precautionary Budget built on the assumption that the UK would leave without a deal, or B) assume common sense would prevail and Britain would get a deal or an extension.

While "B" happened, with Britain extending Brexit until January, Minister Donohoe and colleagues prepared for "A" a no-deal scenario.

It meant hehad the best of both worlds.

He could introduce a prudent Budget despite the booming economy. He also had the political cover of a potential no-deal Brexit as an excuse not to reduce income taxes and not to repeat the social welfare increases of past year.

On 8 October he unveiled a package which made relatively few changes.

However, he did increase Carbon Taxes by 6 per tonne which added 2c per litre to the price of petrol or diesel.

Absent from his Budget speech was a commitment to go further and make commitments to increase the tax annually in an effort to reduce emissions.

Internal affairs politicians land in hot water

"Let no person in this House, and beyond, be in any doubt this is a very serious situation which requires urgent action."

That was the assessment of Ceann Comhairle Sen Fearghal in October, when dealing with the negative fall-out from widespread coverage of irregular voting in the Dil chamber.

He said the public must have "total and absolute confidence" in the voting process and then quickly followed-up to make sure it happened. From now on, Dil deputies have to be in their own seats when voting, and party whips must guarantee that is the case.

While many TDs had voted for colleagues who were elsewhere in the Dil, it was Fianna Fil TDs who were involved in votes for colleagues who had actually left the chamber.

The cases of Timmy Dooley and Niall Collins are still before the Dil's ethics committee. Lisa Chambers was found by the Members' Interests Committee to have "inadvertently"pressed her colleagues button and given a warning.

Fine Gael experienced its own problems when Cork North Central TD Dara Murphy resigned his seat to work with the European Commission. There were calls for investigations into his Dil attendance, and expense claims, given he had been working regularly in Brussels for two years, as well as being a TD, with the European People's Party.

The party also moved to de-select its Dn Laoghaire TD Maria Bailey as a general election candidate. She garnered much negative coverage over her decision to initiate an insurance claim against a Dublin hotel after falling off a swing. Fine Gael also deselected its Wexford general election candidate Verona Murphy after her controversial remarks on immigration.

But it wasn't just the political parties who faced difficulties. The Houses of the Oireachtas also had to try to explain why a printer and related equipment, which cost 1.3m, couldn't fit into the designated building when it arrived.

None of the controversies helped the politicians reputations in the eyes of the public.

Climate the pressing global issue of our time

2019 was the year that Dil ireann declared there was a climate emergency - and thereby Ireland became only the second country in the world to do so. Campaigner Greta Thunberg was impressed, tweeting: "Great news from Ireland!!! Who is next?" But it was a strange affair in May: only six TDs were in the Dil chamber at the time.

Two months earlier, the Oireachtas Joint Committee on Climate Action published a cross-party report entitled: Climate Change: A cross-party consensus for action. The document was a substantial achievement, building on the work of the Citizens' Assembly the previous year. It was supported by Fine Gael, Fianna Fil, Labour and the Greens as both balanced but radical. However, consensus remained elusive - Sinn Fin and People Before Profit voted against it, arguing green taxes hurt low income earners unfairly.

In July, the Irish Government published its Climate Action Plan. Its objective is to ensure Ireland reduces carbon emissions by 30% between 2021 and 2030, and achieve net zero carbon emissions by 2050.

At the UN climate change summit in Madrid in December, Minister for Climate Action Richard Bruton declared that "Ireland is determined to play its part" in tackling climate change.

At the meeting, the Climate Change Performance Index found that Ireland had improved its position by seven places. However, it remains languishing at number 41 out of 61 countries.

Sometimes politics is criticised for promoting the urgent ahead of the important.

For leaders across the globe the extent to which they take concrete action to limit the effects of climate change will be a critical issue in 2020.

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Elections and controversies dominate political year - RTE.ie

artificial intelligence | Definition, Examples, and …

Artificial intelligence (AI), the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. The term is frequently applied to the project of developing systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, discover meaning, generalize, or learn from past experience. Since the development of the digital computer in the 1940s, it has been demonstrated that computers can be programmed to carry out very complex tasksas, for example, discovering proofs for mathematical theorems or playing chesswith great proficiency. Still, despite continuing advances in computer processing speed and memory capacity, there are as yet no programs that can match human flexibility over wider domains or in tasks requiring much everyday knowledge. On the other hand, some programs have attained the performance levels of human experts and professionals in performing certain specific tasks, so that artificial intelligence in this limited sense is found in applications as diverse as medical diagnosis, computer search engines, and voice or handwriting recognition.

All but the simplest human behaviour is ascribed to intelligence, while even the most complicated insect behaviour is never taken as an indication of intelligence. What is the difference? Consider the behaviour of the digger wasp, Sphex ichneumoneus. When the female wasp returns to her burrow with food, she first deposits it on the threshold, checks for intruders inside her burrow, and only then, if the coast is clear, carries her food inside. The real nature of the wasps instinctual behaviour is revealed if the food is moved a few inches away from the entrance to her burrow while she is inside: on emerging, she will repeat the whole procedure as often as the food is displaced. Intelligenceconspicuously absent in the case of Sphexmust include the ability to adapt to new circumstances.

Psychologists generally do not characterize human intelligence by just one trait but by the combination of many diverse abilities. Research in AI has focused chiefly on the following components of intelligence: learning, reasoning, problem solving, perception, and using language.

There are a number of different forms of learning as applied to artificial intelligence. The simplest is learning by trial and error. For example, a simple computer program for solving mate-in-one chess problems might try moves at random until mate is found. The program might then store the solution with the position so that the next time the computer encountered the same position it would recall the solution. This simple memorizing of individual items and proceduresknown as rote learningis relatively easy to implement on a computer. More challenging is the problem of implementing what is called generalization. Generalization involves applying past experience to analogous new situations. For example, a program that learns the past tense of regular English verbs by rote will not be able to produce the past tense of a word such as jump unless it previously had been presented with jumped, whereas a program that is able to generalize can learn the add ed rule and so form the past tense of jump based on experience with similar verbs.

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artificial intelligence | Definition, Examples, and ...

What is Artificial Intelligence? How Does AI Work? | Built In

Can machines think? Alan Turing, 1950

Less than a decade after breaking the Nazi encryption machine Enigma and helping the Allied Forces win World War II, mathematician Alan Turing changed history a second time with a simple question: "Can machines think?"

Turing's paper "Computing Machinery and Intelligence" (1950), and it's subsequent Turing Test, established the fundamental goal and vision of artificial intelligence.

At it's core, AI is the branch of computer science that aims to answer Turing's question in the affirmative. It is the endeavor to replicate or simulate human intelligence in machines.

The expansive goal of artificial intelligence has given rise to manyquestions and debates. So much so, that no singular definition of the field is universally accepted.

The major limitation in defining AI as simply "building machines that are intelligent" is that it doesn't actually explain what artificial intelligence is? What makes a machine intelligent?

In their groundbreaking textbook Artificial Intelligence: A Modern Approach, authors Stuart Russell and Peter Norvig approach the question by unifying their work around the theme of intelligent agents in machines. With this in mind, AI is "the study of agents that receive percepts from the environment and perform actions." (Russel and Norvig viii)

Norvig and Russell go on to explore four different approaches that have historically defined the field of AI:

The first two ideas concern thought processes and reasoning, while the others deal with behavior. Norvig and Russell focus particularly on rational agents that act to achieve the best outcome, noting "all the skills needed for the Turing Test also allow an agent to act rationally." (Russel and Norvig 4).

Patrick Winston, the Ford professor of artificial intelligence and computer science at MIT, defines AI as "algorithms enabled by constraints, exposed by representations that support models targeted at loops that tie thinking, perception and action together."

While these definitions may seem abstract to the average person, they help focus the field as an area of computer science and provide a blueprint for infusing machines and programs with machine learning and other subsets of artificial intelligence.

While addressing a crowd at the Japan AI Experience in 2017, DataRobot CEO Jeremy Achin began his speech by offering the following definition of how AI is used today:

"AI is a computer system able to perform tasks that ordinarily require human intelligence... Many of these artificial intelligence systems are powered by machine learning, some of them are powered by deep learning and some of them are powered by very boring things like rules."

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What is Artificial Intelligence? How Does AI Work? | Built In

Artificial Intelligence – Overview – Tutorialspoint

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Since the invention of computers or machines, their capability to perform various tasks went on growing exponentially. Humans have developed the power of computer systems in terms of their diverse working domains, their increasing speed, and reducing size with respect to time.

A branch of Computer Science named Artificial Intelligence pursues creating the computers or machines as intelligent as human beings.

According to the father of Artificial Intelligence, John McCarthy, it is The science and engineering of making intelligent machines, especially intelligent computer programs.

Artificial Intelligence is a way of making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the intelligent humans think.

AI is accomplished by studying how human brain thinks, and how humans learn, decide, and work while trying to solve a problem, and then using the outcomes of this study as a basis of developing intelligent software and systems.

While exploiting the power of the computer systems, the curiosity of human, lead him to wonder, Can a machine think and behave like humans do?

Thus, the development of AI started with the intention of creating similar intelligence in machines that we find and regard high in humans.

To Create Expert Systems The systems which exhibit intelligent behavior, learn, demonstrate, explain, and advice its users.

To Implement Human Intelligence in Machines Creating systems that understand, think, learn, and behave like humans.

Artificial intelligence is a science and technology based on disciplines such as Computer Science, Biology, Psychology, Linguistics, Mathematics, and Engineering. A major thrust of AI is in the development of computer functions associated with human intelligence, such as reasoning, learning, and problem solving.

Out of the following areas, one or multiple areas can contribute to build an intelligent system.

The programming without and with AI is different in following ways

In the real world, the knowledge has some unwelcomed properties

AI Technique is a manner to organize and use the knowledge efficiently in such a way that

AI techniques elevate the speed of execution of the complex program it is equipped with.

AI has been dominant in various fields such as

Gaming AI plays crucial role in strategic games such as chess, poker, tic-tac-toe, etc., where machine can think of large number of possible positions based on heuristic knowledge.

Natural Language Processing It is possible to interact with the computer that understands natural language spoken by humans.

Expert Systems There are some applications which integrate machine, software, and special information to impart reasoning and advising. They provide explanation and advice to the users.

Vision Systems These systems understand, interpret, and comprehend visual input on the computer. For example,

A spying aeroplane takes photographs, which are used to figure out spatial information or map of the areas.

Doctors use clinical expert system to diagnose the patient.

Police use computer software that can recognize the face of criminal with the stored portrait made by forensic artist.

Speech Recognition Some intelligent systems are capable of hearing and comprehending the language in terms of sentences and their meanings while a human talks to it. It can handle different accents, slang words, noise in the background, change in humans noise due to cold, etc.

Handwriting Recognition The handwriting recognition software reads the text written on paper by a pen or on screen by a stylus. It can recognize the shapes of the letters and convert it into editable text.

Intelligent Robots Robots are able to perform the tasks given by a human. They have sensors to detect physical data from the real world such as light, heat, temperature, movement, sound, bump, and pressure. They have efficient processors, multiple sensors and huge memory, to exhibit intelligence. In addition, they are capable of learning from their mistakes and they can adapt to the new environment.

Here is the history of AI during 20th century

Karel apek play named Rossum's Universal Robots (RUR) opens in London, first use of the word "robot" in English.

Foundations for neural networks laid.

Isaac Asimov, a Columbia University alumni, coined the term Robotics.

Alan Turing introduced Turing Test for evaluation of intelligence and published Computing Machinery and Intelligence. Claude Shannon published Detailed Analysis of Chess Playing as a search.

John McCarthy coined the term Artificial Intelligence. Demonstration of the first running AI program at Carnegie Mellon University.

John McCarthy invents LISP programming language for AI.

Danny Bobrow's dissertation at MIT showed that computers can understand natural language well enough to solve algebra word problems correctly.

Joseph Weizenbaum at MIT built ELIZA, an interactive problem that carries on a dialogue in English.

Scientists at Stanford Research Institute Developed Shakey, a robot, equipped with locomotion, perception, and problem solving.

The Assembly Robotics group at Edinburgh University built Freddy, the Famous Scottish Robot, capable of using vision to locate and assemble models.

The first computer-controlled autonomous vehicle, Stanford Cart, was built.

Harold Cohen created and demonstrated the drawing program, Aaron.

Major advances in all areas of AI

The Deep Blue Chess Program beats the then world chess champion, Garry Kasparov.

Interactive robot pets become commercially available. MIT displays Kismet, a robot with a face that expresses emotions. The robot Nomad explores remote regions of Antarctica and locates meteorites.

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Artificial Intelligence - Overview - Tutorialspoint