Why people betray their countries, according to an Israeli expert – Haaretz.com

Dr. Ilan Diamant, how does a clinical psychologist come to work for the Prime Ministers Office in Tel Aviv?

I started my clinical studies and training relatively late. Because a novice psychologist doesnt earn a lot of money, and because intelligence work intrigued me, I started to work assessing potential candidates for the secret services. At one point, I was persuaded to switch to working as a psychologist within the framework of Israels [foreign] intelligence services whats known as the Prime Ministers Office in Tel Aviv. I worked there for more than a decade.

What was the job description?

Effectively, I covered two fields: assessment and evaluation, and therapy.

Therapy? In other words, the position includes providing psychological support to the organizations staff?

All the clandestine organizations employ psychologists. People who engage in this type of work undergo an all-encompassing experience, so its right to have a psychologist on hand to work with them vis-a-vis the difficulties they encounter in their personal and professional lives.

What does the assessment part involve?

It serves a variety of functions, among them coming up with predictive analyses about the candidate. Does he have the requisite stamina to withstand the pressures entailed in this work? Is he capable of working in this sort of framework?

One of the aspects thats examined is the level of danger a possible candidate poses to the organization itself: that is, his potential to cross the lines.

We try to predict the risk potential. Is this person capable of being loyal to the organization? Crossing the lines is not only treason against the state and the supply of information to the enemy: It can also take the form of sharing secrets hes entrusted with, with friends or partners. Betrayal of the state is a more complex matter, about which not enough knowledge exists, unfortunately. I am writing a book about this subject together with Shlomo Peled, who is also a psychologist and involved in intelligence. We are translating the experience weve gleaned into written form, because there is simply no orderly protocol that deal with the subject. In any event, its important to understand that treason is more a declarative than a substantive term. Very few people in Israel have been [formally] accused of treason. If anything, they are accused of harming state security.

Its hard to prove treason and in any event treason, as such, is a relative term.

I prefer to call that type of behavior breach of trust. We violate the trust of the people who have confidence in us. That viewpoint broadens the conception regarding people who possess the potential to be disloyal.

That potential exists in all of us, doesnt it?

Freud wrote that, because we are born to two people mother and father the question of whom I am loyal to is part of everyones universal essence. If you psychologically deconstruct the concept of loyalty, it comes down to the basic relations between a mother and her infant. If infants can trust their mother to fulfill all their emotional needs as they develop, they will learn to be trusting of the world. Those people have a lower risk potential if they are employed by a secret organization, because they are capable of trusting the organization, of being loyal to it.

So anyone who had a difficult childhood or uncertain relationships is disqualified from the outset?

Heaven forbid. The question is not what happened in childhood, but what the person did with those experiences. How they have succeeded in coping with crises, in maturing. Because all of us, potentially, can be disloyal, we examine the candidates inner strengths and their ability to adjust, particularly during crises and transitions in life.

Can you give an example?

I will use the simplest example: Mordechai Vanunu [who spent 18 years in prison for revealing Israeli nuclear secrets]. Everything I say is based on open sources. Lets examine the transitions in his life. He grew up in a religiously observant family but dropped out of his religious high school and abandoned religion; some say that because of this he was also compelled to sever relations with his family. After a few years, he moved from the right side of the political map to the left even radical side. At this stage he was already working at the Negev Nuclear Research Center and he was summoned for a reprimand because of his political activity. He chose to ignore this and thus demonstrated an inability to accept authority and a problem with adjustment. After he was fired he began to wander around the world and converted to Buddhism and afterward to Christianity. Of course, I do not purport to know what his pre-employment assessment said, but the sharp transitions point to a high risk potential, to disloyalty.

American psychiatrist David Charney took part in compiling a CIA report on the psychology of betrayal. Among the traits he enumerated that heighten the likelihood that a particular person will betray the organization are damaged attachment skills, a broken family, despair, impulsivity, sociopathy, narcissism a broad range.

The range is broad, and that definitely raises the question of screening, because these are very common traits and phenomena. Dr. Charney interviewed the traitor Robert Hanssen [an FBI agent who spied for Russia in the 1980s and 90s]. He met with Hanssen once a week in prison, and from those meetings he arrived at the insight he put into his report. The most significant one, from my viewpoint, is that there are no happy traitors. No one does such things joyfully and wholeheartedly. All traitors act as they do out of genuine distress psychological, emotional but the betrayal solution is pathological in nature. It doesnt provide them with what they need.

What about concrete motivations, such as material rewards, or a psychological one, such as revenge, a release of frustration even the need for a thrill?

The professional literature cites four main motives for betrayal, with the acronym MICE: money, ideology, compromise and ego. But those are only the external factors. A person who knows who he is and what he is, whose identity is clear, who possesses a mature personality and is well adjusted, will be capable of rebuffing temptation. However, a person who has, lets say, a powerful need for feeling self-esteem, because he didnt get that as a child, is definitely liable to turn to betrayal in order to attain it.

Given the connection between a personality with such tendencies and possible motivations, what will tip the scales personality or motivation?

What will tip the scales are the braking forces, which are part of the personality. In other words, the presence of inhibitors that safeguard a person from falling into the abyss. The ability to feel and understand that they are on the brink, and must stop doing what they are doing: trying to fulfill that pathological need. When [Aldrich] Ames, one of the major American traitors [a CIA agent who sold information to the Soviets, and was convicted in 1994] was asked why he did what he did, he said, after thinking about it at length, that it wasnt for the money as he had found it convenient to tell himself and his milieu but that he simply didnt really know why. And that is the answer.

At the moment of betrayal, the person doesnt really think. They enter into a kind of dissociative state, they are detached from external circumstances, from the consequences, convinced that they will satisfy an urge, whatever it may be, and will feel good. Ames, who needed money, didnt consult with anyone, didnt consider other solutions, didnt think what his action would do to his wife, his children, his superiors. He simply went for it.

As in a crime of passion.

Yes. He just didnt think at that moment about the consequences of his behavior, about the price.

So betrayal is not a calculated act? Its impulsive?

Its an act that is impulsive because in effect it consists of not resisting temptation, and of a void in his personality that cannot be filled normatively and whose satisfaction is always pathological. By the way, it can be an act that seems to be rational, outwardly. All of us employ rationalizations all the time.

Betrayal is a relative term, and life itself is a kind of war of narratives. I can tell myself whatever story I wish.

Thats exactly the point: Anyone can do it. As the person doing the assessment, I will want to know the story you tell and to what extent you believe yourself.

If I tell myself, say, that I am a freedom fighter and not greedy for money, will that make it easier for me to be disloyal?

No traitor tells himself, I am a traitor. To start the betrayal engine he has to devise for himself a positive alternative narrative and bridge the cognitive dissonance he feels. Betrayal for money is relatively rare. The motives of most of the well-known traitors were ostensibly ideological. For example, Marcus Klingberg [an Israeli scientist who crossed the lines and spied for Russia].

The story of treason can also be one of heroism. I think Klingberg claimed he never received anything in return, that he only wanted to reward the Russians for having saved the world from Nazism.

He claimed he didnt even want anything in return, that he only wanted to save the world. Vanunu said something similar at one point. Thats a matter of rationalization. And what are the layers that lie below? The experience of oneself as victim and when I experience myself as a victim, I need to help the weak, because the weak are actually me. Those are exactly the psychological components we try to discover. Klingberg, who wanted to help the Russians and to prevent World War III, or [Edward] Snowden, who wanted to save the public and to leak secret information about the surveillance plans of the NSA [National Security Agency], are the ideological spies who construct in their consciousness the narrative of freedom fighters for an ideal world.

The thing is that self-deception is always in the eye of the beholder. Whoever does things for their country that go beyond fulfilling their own needs, is considered a savior in their own eyes. Betrayal for them is a heroic deed, self-sacrifice for the common good. But the hero of one side is the traitor of the other side.

Another report, issued by the U.S. Defense Department, collected and analyzed information about 150 traitors. Some of them underwent psychological tests and in-depth interviews. The report points to two personality patterns among traitors: a dominant, manipulative personality, and a passive, dependent personality.

What both patterns have in common is that they are characterized by egocentrism, by a heightened preoccupation with themselves and indifference to the difficulties of others. In addition, the biographical background of a large number of the traitors includes an experience of a significant conflict with a father figure. Take, for example, Ashraf Marwan [an Egyptian who worked for the Mossad], who had a dependent, passive personality. He married the daughter of [Egyptian President Gamal Abdel] Nasser, in spite of the latters displeasure. Nasser arranged a low-level [government] position for him that not only didnt meet his expectations but was a serious blow to his pride. Nasser also instructed his confidants to keep an eye on Marwan, to ensure that he would not embarrass the president and his family.

After Egypts defeat in [the Six-Day War in] 1967, the affronted and angry Marwan approached an Israeli embassy and offered his services. After a long and complex process, it was decided to recruit him as an agent. His Israeli handlers understood that the way to utilize him was to fulfill his need for an appreciative and laudatory father figure, which Nasser refused to be. His need for such a person, who would esteem and accept him, led to the then-head of the Mossad, Zvi Zamir, being involved in handling him. Its rare for the head of the Mossad to handle an agent. Marwans need was that blatant.

What about a dominant, manipulative personality?

Biographers of Kim Philby, the British agent who spied for the Soviets, described the personality of an arch-megalomaniac selfish, charismatic and conscienceless. He betrayed his sources, his own agents, informed on them to the Russians and led them to their deaths. Philbys father was described as a colorful character, preoccupied with himself and with an impulse for adventure, which was manifested in a great deal of traveling, multiple mistresses and conversion to Islam. Philbys mother was completely passive.

Because of his travels, the father was often away from home, and his young son experienced him in terms of a pompous presence and a physical absence a relationship with a father who promises but doesnt follow through, who was proud of him when he was successful and humiliated him when he failed. Philby himself was married four times. He cheated on his second wife and claimed that she tried to kill him. The psychiatrist who treated him testified that Philby subjected her to mental abuse and pushed her to suicide. She was found dead in her apartment, in circumstances that are not known to this day, but Philby was by then already in a romantic relationship with the person who would become his third wife, who was married to a close friend of his.

If I live an entire life whose essence is concealment keeping secrets from my partners, my friends, my family why would I not also conceal things from the person responsible for me in the organization? Lie to him? What will hold me back?

What will hold you back is the context of the way you are treated. Basic relations of trust with the system. Without such relations, there is no loyalty. If I suspect that the system is not telling me the truth, that can generate frustration and resistance, even a counterreaction. You wont tell me and I wont tell you. That is genuinely dangerous. The employee is meant to have a relationship with those in authority in which he can trust them implicitly, and if that doesnt exist, theres simply nothing to talk about.

Relations in which we feel that we are being used, in which there is no mutuality, are dangerous. When hitches like that arise they need to be corrected immediately, not at the level of the employee but at the level of the system. Theres also no shortage of senior figures who are not above reproach.

In other words, the way the organization is managed will determine in large measure whether there will be traitors in it.

The management of employees in the organization. Definitely. Snowden, for example, encountered difficulties when he was working for the CIA. He was in distress, he needed help, someone at his side. Did anyone check to see how far his superiors pressed him? Maybe thats what pushed him to behave as he did?

But when everyone is playing mind games with everyone, its hard to know where the boundary lies. After all, his administrator or team head is also a person who lies and manipulates. Thats the job. How can I know that hes not lying to me?

You cant. Not really. But theres a difference between a manipulative personality and a personality with manipulative abilities. The filtering and the assessment tests are intended to check that, too whether I possess manipulative ability, but am not a manipulative person. I do what I need to do within the job framework, but I am not manipulative when I come home and I am not manipulative toward my friends. The manipulation is a tool; it is not who I am.

If we think about the need for thrills, the ability to maintain a life of lies and contradictions and concealment in the end, theres a correlation between people who are prone to betrayal and people who are prone, from the outset, to desiring to a career as a Mossad agent.

A correlation exists between people who are prone to betrayal and people who will be attracted to work in an intelligence organization. Thats true. The espionage world is a place of deceptive mirrors, reflections amid reflections, and when the agent has multiple identities and covers, he is liable to become confused. His anchor is judgment of reality. Theres a saying: The traitor is the one who betrays himself.

In the end, the traitor will be the person who fails the test of reality and believes that he is someone he is not. The healthy person working in intelligence will be the one who succeeds in executing the transitions between different identities and remaining the same person. Even when hes on a mission in which he wears a suit and drives a Jaguar, he doesnt forget that hes an Israeli, lives on the third floor of an apartment building in Rishon Letzion and hasnt finished paying off the mortgage.

Do you think that the degree of trust and commitment a person feels toward the state can affect his capacity to betray it? Is that temptation heightened in periods of crisis? Can anger or despair facilitate that choice?

The degree of trust and commitment to the state can change if the state is caught up in anarchy and political and social chaos the brakes grow slack, the opportunism increases, and every bastard is a king. There will be a higher probability that lines will be crossed, because the boundaries become blurred. Think, for example, of Breaking the Silence [the anti-occupation organization of former soldiers who speak publicly about their experiences in the territories] as an example that of motivation based on anger and frustration, in circumstances of a lack of transparency of the military and political leadership. Is it traitorous? No, because it doesnt involve revealing confidential material that harms state security. Again, treason is an elusive concept, which is why we have the term harming state security or passing classified information to a hostile source.

Perhaps we can talk a little about the social function of the traitor. The sociologist Nachman Ben-Yehuda wrote that its society that marks the traitor, with the aspiration of making clear who is on our side and who endangers us. Who, then, is a traitor? Is Tali Fahima [a pro-Palestinian Israeli activist, convicted in 2005 of having ties with the Al-Aqsa Martyrs Brigades], for example, a traitor?

Treason is actually the shattering of a social taboo of commitment and mutual loyalty, which are a condition for belonging to a group, a community or an organization. The taboo emphasizes that one must act according to the rules of the collective, and even in a case of extreme disagreement, one does not shift sides and play in the adversarys group. Tali Fahima, or for that matter people who abandon their faith, are not harming state security and obviously are not violating a legal commitment to maintain secrecy. They defy social norms. They do not meet the expectations of their group of affiliation, and as such they undermine the resilience of social consent.

If [soccer player Lionel] Messi moves from Barcelona to the Italian team of Juventus, millions of fans will undoubtedly be disappointed, but if he moves to Real Madrid, the nemesis of Barcelona, all the headlines will scream Traitor. Inflated use of the term treason for every disagreement renders it a blurred concept. If 30 percent of the community are traitors, then no one is a traitor. If every police officer who breaks up a demonstration is a Nazi, then who is [really] a Nazi?

I read a fine definition, cited by attorney Avigdor Feldman: A countrys level of democracy is measured by the broadness of the definition of the crime of treason in its law books. The more general the definition, the farther that country is from the values of democracy.

The more clauses a countrys penal code contains, the less democratic that country is. The Israeli Penal Code contains about 500 clauses, some of them in the nature of definitions. In other words, there are only 500, and perhaps even fewer, illegal types of behavior. Everything else is permitted. This is a democracy that minimizes criminal prohibitions. The question is, when does such minimizing turn the country into anarchy, because in such a country all offenses and all paths are permitted, in peoples perception; they think everything goes. At the other end of the continuum is the totalitarian state in which what is not permitted, is forbidden. That notion reinforces the position holding that the offense of treason should be reserved for extreme cases only, so that not everyone about whom there is controversy is branded a traitor.

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Why people betray their countries, according to an Israeli expert - Haaretz.com

8 disturbing movies and shows on social media and Big Data, on Netflix and Amazon Prime Video – VOGUE India

Who doesnt appreciate a good watch exploring the dark side of technology? Sure, it's scary considering some of the situations are highly relatable, and when the realisation that it may be happening to us, hits home. But chances are that these movies and shows will make you question things that have been so normalised, we don't look up from our screens to think about them. From the recently trending documentary The Social Dilemma to the nail-biting drama Searching, here's what you should tune into if you're in the mood for a reality check on Big Data.

The name Cambridge Analytica was in the news a lot in 2018for all the wrong reasons. The data company came into the limelight for accumulating personal information from millions of Facebook users without their consent. Its agenda was targeted towards political advertising, which raised a lot of questions on the ethicality of Facebook's privacy policy. The Great Hack tries to get to the bottom of this data scandal by showcasing accounts by professor David Carroll, British investigative journalist Carole Cadwalladr, and former business development director for Cambridge Analytica, Brittany Kaiser.

Streaming on Netflix

The docudrama highlights the toxic impact of social media on humanity. While this statement may seem generic, the revelations made in this series are certainly not. The information about the subtle ways in which Silicon Valley giants attract and manipulate our attention, given by some of the most influential names in the industrymany of them high ranking ex-employees and foundershits scarily close to home. It also shows how these companies use their audience base for profits as they sell user data and surveillance information, influencing political agendas across the world. The impact of these apps on mental health is also touched upon in detail.

Streaming on Netflix

If you can't trace a person's digital footprint in present times, they're as good as non-existent. David Kim (John Cho) fails to get in touch with his 16-year-old daughter after a night out at her friend's place. Eventually realising she's missing, he reports it and an investigation is initiated. 37 hours pass and authorities fail to uncover even a single lead. As David gets desperate for answers, he decides to investigate his daughter's laptop and starts conversing with her friends on Facebook. Through his efforts, he eventually comes across secrets which may bring his world crumbling down. The entire film is shown through smart devices and social media apps to highlight their true impact on our daily lives.

Available to buy on Amazon Prime Video

Based on the lucrative phishing scams that are so prevalent in our country, Jamtara unearths the whole process and blends it with an intense narrative. Two cousins who run a phishing scam and make a decent profit off of it, but a news piece on it throws the whole network under the bus. To think the police would put an end to it is far from the truth, as a local politician takes the boys under his wing to earn an extra buck himself.

Streaming on Netflix

Having robots at your beck and call to do all the chores at home that you despise, is an ideal future scenario for many. However, Humans is here to give you a slightly different perspective on how things may not be so hunky-dory. Set in an alternate reality, the show is about a must-have piece of technology called a Syntha highly sophisticated humanoid robot designed for human help. When the Hawkins family buys a restored Synth to ease their lives, they come to realise that living with a droid can have dangerous implications.

Available to buy on Amazon Prime Video

Joseph Gorden-Levitt plays the infamous Edward Snowden in this brilliantly curated biopic. Disappointed with the agenda of the intelligence agency, Edward quits his job at the NSA when he comes across colossal amounts of data being assembled to trace all forms of digital information. This includes not only foreign governments and terrorist organisations but also regular American citizens. He makes the hard decision to leak this information at the cost of his safety and freedom. As people are shocked to learn the true intentions of the government, Edward is deemed a traitor.

Available to buy on Amazon Prime Video

"Our democracy has been hacked" is the tagline around which this show is weaved. Narrating the story of a brilliant engineer, Elliot Alderson, who suffers from social anxiety and clinical depression, Mr Robot dives into the dark world of a global conspiracy which threatens the privacy of the world. Elliot acts as a cybersecurity expert by day and a hacking vigilante by night. His skills see him approached by a secret underground organisation to take down the corporate world including the company he works for. The situation catapults him into the centre of an ethical dilemma but his ideals to do the right thing prevail.

Streaming on Amazon Prime Video

A virtual slap in the face of humanity, Black Mirror focuses on an alternate reality where the screens that influence our lives have slowly transformed into the reason for our existence. The anthology focuses on a constant battle with technology not in the Terminator sort of way, but darker, more insidious. It highlights more of the subtle destruction of human conscience as technology beats it into submission, rendering it moot. Each episode details a different scenario ranging from severely dark to satirical.

Streaming on Netflix

8 thought-provoking dystopian movies and shows to stream on Netflix, Amazon Prime Video and Disney+ Hotstar

12 brilliant science fiction movies and shows you can watch on Netflix, Amazon Prime Video and Disney+ Hotstar

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8 disturbing movies and shows on social media and Big Data, on Netflix and Amazon Prime Video - VOGUE India

Assange was offered presidential pardon to help ‘resolve’ Russia role in DNC hack, court told – NBC News

LONDON WikiLeaks founder Julian Assange was offered a presidential pardon if he helped to resolve the "ongoing speculation about Russian involvement" in the hacking of Democratic National Committee emails leaked during the 2016 U.S. election campaign, a London court heard Friday.

Assange's lawyer, Jennifer Robinson, said she saw then-Rep. Dana Rohrabacher, R-Calif., and Trump associate Charles Johnson make the offer during an August 2017 meeting at London's Ecuadorian Embassy, where Assange was evading arrest at the time. His seven-year stay there came to an end in April 2019 when Ecuador revoked his political asylum and invited police officers inside to arrest him.

Rohrabacher and Johnson said Trump knew about the meeting and approved offering Assange what they described as a "win-win" proposal, according to Robinson's statement provided to Assange's hearing in Old Bailey court.

Assange, 49, is fighting extradition to the U.S. where he faces up to 175 years in prison on espionage charges over WikiLeaks' release of confidential diplomatic cables in 2010 and 2011.

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"Rohrabacher explained that he wanted to resolve the ongoing speculation about Russian involvement in the Democratic National Committee (DNC) leaks to WikiLeaks," Robinson said. "He said that he regarded the ongoing speculation as damaging to U.S.-Russian relations, that it was reviving old Cold War politics, and that it would be in the best interests of the U.S. if the matter could be resolved."

In return, the men offered "some form of pardon, assurance or agreement which would both benefit President Trump politically and prevent U.S. incitement and extradition" for Assange, Robinson said in the statement.

At the hearing Friday, James Lewis, prosecutor for the U.S. government, said: "The position of the government is we don't contest these things were said. We obviously do not accept the truth of what was said by others."

Robinson said she and Assange asked the men to make the case to Trump that he should be released purely on First Amendment grounds, noting that President Barack Obama had already commuted the sentence of Chelsea Manning, the former Army intelligence analyst previously sentenced to 35 years for giving classified information to WikiLeaks.

They did not offer to disclose the source of the leaks because that would not be "consistent with WikiLeaks editorial policy," she said.

Responding to the claims when they surfaced earlier this year, White House press secretary Stephanie Grisham called the allegations "absolutely and completely false."

Trump "barely knows Dana Rohrabacher other than he's an ex-congressman. He's never spoken to him on this subject or almost any subject," Grisham said. "It is a complete fabrication and a total lie. This is probably another never-ending hoax and total lie from the DNC."

Rohrabacher has also denied making such an offer.

"At no time did I offer Julian Assange anything from the president because I had not spoken with the president about this issue at all," Rohrabacher said in a February statement. "However, when speaking with Julian Assange, I told him that if he could provide me information and evidence about who actually gave him the DNC emails, I would then call on President Trump to pardon him."

He said that on his return to Washington he "wasn't successful in getting this message through to the president" but that "I still call on him to pardon Julian Assange, who is the true whistleblower of our time."

Alexander Smith is a senior reporter forNBC News Digital based in London.

Michele Neubert is a London-based producer for NBC News.She has been awarded four Emmy Awards, an Edward R. Murrow Award and an Alfred I. duPont Award for her work in conflict zones, including the Balkans, Afghanistan and Kurdistan.

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Assange was offered presidential pardon to help 'resolve' Russia role in DNC hack, court told - NBC News

Assange Extradition Trial Day 7: Pentagon Papers’ Daniel Ellsberg Testifies No Evidence Anyone Died as a Result of Wikileaks – River Cities Reader

Opponents of WikiLeaks founder Julian Assange often hold up Pentagon Papers whistleblower Daniel Ellsberg as an example of someone who was responsible for a good leak. They insist WikiLeaks is not like the Pentagon Papers because supposedly Assange was reckless with sensitive documents.

On the seventh day of an extradition trial against Assange, Ellsberg dismantled this false narrative and outlined for a British magistrate court why Assange would not receive a fair trial in the United States. [Daniel Ellsberg's 8 page written statement to the court is available here.]

Assange is accused of 17 counts of violating the Espionage Act and one count of conspiracy to commit a computer crime that, as alleged in the indictment, is written like an Espionage Act offense.

The charges criminalize the act of merely receiving classified information, as well as the publication of state secrets from the United States government. It targets common practices in news gathering, which is why the case is widely opposed by press freedom organizations throughout the world.

James Lewis, a prosecutor from the Crown Prosecution Service who represents the U.S. government, told Ellsberg, When you published the Pentagon Papers, you were very careful in what you provided to the media.

The lead prosecutor highlighted the fact that Ellsberg withheld four volumes of the Pentagon Papers that he did not want published because they may have impacted diplomatic efforts to end the Vietnam War. However, Ellsbergs decision to withhold those volumes had nothing to do with protecting the names of U.S. intelligence sources.

As Ellsberg described for the court, the 4,000 pages of documents he disclosed to the media contained thousands of names of Americans, Vietnamese, and North Vietnamese. There was even a clandestine CIA officer, who was named.

Nowhere in the Pentagon Papers was an adequate justification for the killing that we were doing, Ellsberg said. I was afraid if I redacted or withheld anything at all it would be inferred I left out the good reasons why the U.S. was pursuing the Vietnam War.

Ellsberg was concerned about revealing the name of a clandestine CIA officer, though he mentioned the individual was well-known in South Vietnam. Had he published the name of the officer today, the Intelligence Identities Protection Act could have easily been used to prosecute him. But he left it in the documents so no one could make inferences about redacted sections that may undermine what he exposed.

Like Assange, Ellsberg wanted the public to have a complete record.

This did not exactly distinguish Ellsberg from Assange so Lewis explicitly highlighted an article, Why WikiLeaks Is Unlike The Pentagon Papers, by attorney Floyd Abrams, which he wrote for the Wall Street Journal.

Abrams was one of the attorneys who represented the New York Times in the civil case that argued the government should not be able to block the media organization from publishing the Pentagon Papers. And like Lewis, Abrams fixated on the four volumes that were kept confidential.

Ellsberg insisted Abrams was mistaken. He never had any discussion with Ellsberg while defending the right to publish before the Supreme Court so Ellsberg said Abrams could not possibly understand his motives very well.

In the decades since the Pentagon Papers were disclosed, Ellsberg shared how he faced a great deal of defamation and then neglect to someone who was mentioned as a clear patriot. He was used as a foil against new revelations from WikiLeaks, which were supposedly very different. Such a distinction is misleading in terms of motive and effect.

Ellsberg noted Assange withheld 15,000 files from the release of the Afghanistan War Logs. He also requested assistance from the State Department and the Defense Department on redacting names, but they refused to help WikiLeaks redact a single document, even though it is a standard journalistic practice to consult officials to minimize harm.

I have no doubt that Julian would have removed those names, Ellsberg declared. Both the State and Defense Departments could have helped WikiLeaks remove the names of individuals, who prosecutors insist were negatively impacted.

Yet, rather than take steps to protect individuals, Ellsberg suggested these government agencies chose to preserve the possibility of charging Mr Assange with precisely the charges he faces now.

Not a single person has been identified by the U.S. government when they talk about deaths, physical harm, or incarceration that were linked to the WikiLeaks publications.

The lead prosecutor asked Ellsberg if it was his view that any harm to individuals was the fault of the American government for letting Assange publish material without redactions.

Ellsberg indicated they bear heavy responsibility.Lewis attempted to trap Ellsberg into conceding Assange had engaged in conduct that resulted in grave harm to vulnerable individuals. He read multiple sections of an affidavit from Assistant U.S. Attorney Gordon Kromberg, who is in the Eastern District of Virginia where Assange was indicted.

It covered a laundry list of allegations: they named local Afghans and Iraqis that were providing information to coalition forces, forced journalists and religious leaders to flee, led to harassment of Chinese academics labeled as rats, fueled violent threats against people who met with U.S. embassy staff, resulted in Iranians being identified and outed, and spurred violence by the Taliban.

How can you say honestly and in an unbiased way that there is no evidence that WikiLeaks put anyone in danger? Lewis asked.

Ellsberg told Lewis he found the governments assertions to be highly cynical. He invited Lewis to correct him if he was wrong, but it is his understanding that no one actually suffered harm as a result of these threats. Did one of them suffer the carrying out of these threats?

Lewis replied the rules are you dont get to ask the questions. He tried to move on as Ellsberg insisted he be allowed to provide the rest of his answer, but Judge Vanessa Baraitser would not let Ellsberg complete his response.

It deeply upset Assange, who spoke from inside the glass box where he sits each day. Baraitser reminded him not to interrupt proceedings as Edward Fitzgerald, a defense attorney, attempted to convince the court that Ellsberg should be able to finish his answer.

Lewis continued, Is it your position there was absolutely no danger caused by publishing the unredacted names of these informants?

In response, Ellsberg said the U.S. government is extremely cynical in pretending its concerned for these people. It has displayed contempt for Middle Easterners throughout the last 19 years.

As Lewis insisted one had to conclude Iraqis, Afghans, or Syrians named in the WikiLeaks publications were murdered or forced to flee, Ellsberg refused to accept this presumption.

Im sorry, sir, but it doesnt seem to be at all obvious that this small fraction of people that have been murdered in the course of both sides of conflicts can be attributed to WikiLeaks disclosures, Ellsberg stated.

If the Taliban had disappeared someone, Ellsberg said that would be a seriously harmful consequence. I am not aware of one single instance in the last 10 years.

At no point did the lead prosecutor offer any specific example of a death, and so the record remains as it has been since Chelsea Manning was put on trial. The government has no evidence that anyone was ever killed as a result of transparency forced by WikiLeaks.

Ellsberg informed the court his motive was no different from Assanges motive. The Espionage Act charges that Assange faces are not meaningfully different either. And, in fact, he faced efforts by the government to wiretap and incapacitate him just like Assange did while in the Ecuador embassy in London.

Ellsberg recalled that he did not tell the public what led him to disclose the Pentagon Papers because he expected to be able to testify about his motive during his trial.

When his lawyer asked him why he copied the Pentagon Papers, the prosecution immediately objected. Each time his lawyer tried to rephrase the question, the court refused to permit him to tell the jury why he had done what hed done.

Federal courts continue to handle Espionage Act cases in the same manner. The notion of motive or extenuating circumstances is irrelevant, Ellsberg added.

The meaning of which is I did not get a fair trial, despite a very intelligent and conscientious judge. No one since me has had a fair trial.

Julian Assange could not get a remotely fair trial under those charges in the United States, Ellsberg concluded.

Kevin Gosztola is managing editor of Shadowproof, where this article originally appeared.

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Assange Extradition Trial Day 7: Pentagon Papers' Daniel Ellsberg Testifies No Evidence Anyone Died as a Result of Wikileaks - River Cities Reader

A Nobel for Thunberg? In the age of climate change and virus, it is possible – Reuters

OSLO (Reuters) - This years Nobel Peace Prize could go to green campaigner Greta Thunberg and the Fridays for Future movement to highlight the link between environmental damage and the threat to peace and security, some experts say.

FILE PHOTO: Swedish climate activist Greta Thunberg holds a poster reading "School strike for Climate" as she protests in front of the Swedish Parliament Riksdagen, in Stockholm, Sweden, September 4, 2020. Sep. Fredrik Sandberg/TT News Agency/via REUTERS

The winner of the $1 million prize, arguably the worlds top accolade, will be announced in Oslo on Oct. 9 from a field of 318 candidates. The prize can be split up to three ways.

The Swedish 17-year-old was nominated by three Norwegian lawmakers and two Swedish parliamentarians and if she wins, she would receive it at the same age as Pakistans Malala Yousafzai, the youngest Nobel laureate thus far.

Asle Sveen, a historian and author of several books about the prize, said Thunberg would be a strong candidate for this years award, her second nomination in as many years, with the U.S. West Coast wildfires and rising temperatures in the Arctic leaving people in no doubt about global warming.

Not a single person has done more to get the world to focus on climate change than her, Sveen told Reuters.

The committee has given the prize to environmentalists before, starting with Kenyas Wangari Maathai in 2004 for her campaign to plant 30 million trees across Africa, and in 2007 to Al Gore and the Intergovernmental Panel on Climate Change.

In the era of the coronavirus crisis, the committee could also choose to highlight the threat of pandemics to peace and security, said Dan Smith, the director of the Stockholm International Peace Research Institute.

There is a relationship between environmental damage and our increasing problem with pandemics and I wonder whether the Nobel Peace Prize Committee might want to highlight that, he told Reuters.

If the committee wanted to highlight this trend, he said, there is obviously the temptation of Greta Thunberg.

The Fridays for Future movement started in 2018 when Thunberg began a school strike in Sweden to push for action on climate. It has since become a global protest.

Thunberg and her father Svante, who sometimes handles media queries for her, did not reply to requests for comment.

Many were sceptical when Greta, as she is often referred to, became the bookmakers favourite to win last years Nobel Peace Prize, especially with regards to her age, but her second nomination could strengthen her chances.

The Irish betting agency Paddy Power has the World Health Organization (WHO) as its favourite at odds of 5/2, followed by Thunberg at 3/1 and New Zealand Prime Minister Jacinda Ardern at 5/1.

Greta is re-nominated, which was the case for Malala. I said Malala was young when she was nominated the first time and I said Greta was young the first time she was nominated, Sveen said.

Yousafzai won in 2014.

Other known candidates included the people of Hong Kong, NATO, Julian Assange, Chelsea Manning and Edward Snowden and jailed Saudi activist Loujain al-Hathloul.

Other possible choices are Reporters Without Borders, Angela Merkel and the WHO, experts said, though it is unclear whether they are nominated.

Nominations are secret for 50 years but those who nominate can choose to publicise their choices. Thousands of people are eligible to nominate, including members of parliaments and governments, university professors and past laureates.

It is not known whether Donald Trump is nominated for this years prize, though he is up for next years award after a Norwegian lawmaker named the U.S. President for helping broker a deal between Israel and the United Arab Emirates.

He is unlikely to win, Sveen and Smith agreed, not least for his dismantling of the international treaties to limit the proliferation of nuclear weapons, a cause dear to Nobel committees.

He is divisive and seems to not take a clear stance against the violence the right-wing perpetrates in the U.S., said Smith.

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A Nobel for Thunberg? In the age of climate change and virus, it is possible - Reuters

Nobel for Greta Thunberg? In the age of climate change, coronavirus, it is possible – Deccan Herald

This year's Nobel Peace Prize could go to green campaigner Greta Thunberg and the Fridays for Future movement to highlight the link between environmental damage and the threat to peace and security, experts say.

The winner of the $1 million prize, arguably the world's top accolade, will be announced in Oslo on Oct. 9 from a field of 318 candidates. The prize can be split up to three ways.

The Swedish 17-year-old was nominated by three Norwegian lawmakers and two Swedish parliamentarians and if she wins, she would receive it at the same age as Pakistan's Malala Yousafzai, the youngest Nobel laureate thus far.

Asle Sveen, a historian and author of several books about the prize, said Thunberg would be a strong candidate for this year's award, her second nomination in as many years, with the USWest Coast wildfires and rising temperatures in the Arctic "leaving people in no doubt" about global warming.

"Not a single person has done more to get the world to focus on climate change than her," Sveen told Reuters.

The committee has given the prize to environmentalists before, starting with Kenya's Wangari Maathai in 2004 for her campaign to plant 30 million trees across Africa, and in 2007 to Al Gore and the Intergovernmental Panel on Climate Change.

Also read: Officials, activists blame communications failure for climate inaction

In the era of the coronavirus crisis, the committee could also choose to highlight the threat of pandemics to peace and security, said Dan Smith, the director of the Stockholm International Peace Research Institute.

"There is a relationship between environmental damage and our increasing problem with pandemics and I wonder whether the Nobel Peace Prize Committee might want to highlight that," he told Reuters.

If the committee wanted to highlight this trend, he said, "there is obviously the temptation of Greta Thunberg".

The Fridays for Future movement started in 2018 when Thunberg began a school strike in Sweden to push for action on climate. It has since become a global protest.

Thunberg and her father Svante, who sometimes handles media queries for her, did not reply to requests for comment.

Many were sceptical when Greta, as she is often referred to, became the bookmaker's favourite to win last year's Nobel Peace Prize, especially with regards to her age, but her second nomination could strengthen her chances.

"Greta is re-nominated, which was the case for Malala. I said Malala was young when she was nominated the first time and I said Greta was young the first time she was nominated," Sveen said.

Yousafzai won in 2014.

Not Trump

Other known candidates included the "people of Hong Kong", NATO, Julian Assange, Chelsea Manning and Edward Snowden and jailed Saudi activist Loujain al-Hathloul.

Other possible choices are Reporters Without Borders, Angela Merkel and the World Health Organization, experts said, though it is unclear whether they are nominated.

Nominations are secret for 50 years but those who nominate can choose to publicise their choices. Thousands of people are eligible to nominate, including members of parliaments and governments, university professors and past laureates.

It is not known whether Donald Trump is nominated for this year's prize, though he is up for next year's award after a Norwegian lawmaker named the USPresident for helping broker a deal between Israel and the United Arab Emirates.

He is unlikely to win, Sveen and Smith agreed, not least for his dismantling of the international treaties to limit the proliferation of nuclear weapons, a cause dear to Nobel committees.

"He is divisive and seems to not take a clear stance against the violence the right wing perpetrates in the US," said Smith.

"And that is just the first list."

See more here:
Nobel for Greta Thunberg? In the age of climate change, coronavirus, it is possible - Deccan Herald

US military ‘obliterated two journalists in Apache helicopter attack then covered it up’ – Mirror.co.uk

The US military 'obliterated' two Reuters journalists in Apache helicopter attack in Iran and covered up what they had done, the Old Bailey heard.

An ex bureau chief for the news agency, who developed PTSD and now works as a trauma counsellor, was the last witness in the second week of Assange's extradition hearing.

Dean Yates told in a statement of the 'full horror' of 'Collateral Murder' - the video WikiLeaks released in 2010 which showed US soldiers laughing as they fired weapons from the helicopter.

His statement was read by Assange's barrister Edward Fitzgerald, who was reprimanded several times by the judge for wandering off-topic.

The statement said: "Early on July 12 2007 I was at my desk in the Reuters office in Baghdad's red zone suddenly loud wailing broke out near the back of our office.

"I still remember the anguished face of the Iraqi colleague who burst through the door he said Nami and Saeed have been killed.

"Namir photographer had told colleagues he was going to check out a possible US dawn airstrike Saeed, a driver/fixer [went with him].

"It was my task at the same time as trying to find out what had happened to file a news story about the deaths.

"After midnight the US military released a statement (that said) 'Coalition Forces were clearly engaged in combat operations against a hostile force'. I updated my story.

"Reuters staff had by now spoken to 14 witnesses in [the area] al-Amin. All of them said they were unaware of any firefight that might have promoted the helicopter strike.

"The Iraqi staff at Reuters were concerned that the bureau was too soft on the US military.

"But I could only write what we could establish and the US military was insisting Saeed and Namir were killed during a clash.

"Crazy Horse 1-8 [the helicopter] requested permission to fire after seeing a group of 'military-aged males' who appeared to have weapons and were acting suspiciously."

The statement added that there was debate over what led the Apache to open fire if there was no firefight.

It added that the men were seen to be 'expressing hostile intent' because they were apparently armed.

"They said 'OK we are going to show you a little bit of footage'," the statement said.

"I can see Namir crouching down with his camera which the pilot thinks is an RPG.

"The cannon fire hits them. The generals stopped the tape."

The judge interjected: "This is of no relevance."

Mr Fitzgerald: "It's against the backdrop of denial that the video is important... They ask for information and there is three denials. There was an FOI application denied. WikiLeaks release the Collateral Murder video on April 5 2010."

Returning to the statement, he read: "Namir and Saeed can be seen with a group of men in a street [weapons] are pointed down. The men walk about casually.

"Crazy Horse 1-8 seeks and gets permission from the ground unit to attack. At that moment, however, the crew's line of sight is blocked by houses. Some 20 seconds later Namir can be seen crouched down with his long lens camera raised.

"Here was the full horror - Saeed had been trying to get up for roughly three minutes when a Good Samaritan pulls over in his minivan and the Apache opens fire again and just obliterates them - it was totally traumatising.

"I immediately realised that the US Military had lied to us I feel cheated, they were not being honest."

Mr Fitzgerald said: "Had it not been for Chelsea Manning and Julian Assange the truth of what happened on that street in Baghdad would not have been brought to the world. What he did was 100 per cent truth telling... how the US military behaved and lied."

The hearing was adjourned until Monday.

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US military 'obliterated two journalists in Apache helicopter attack then covered it up' - Mirror.co.uk

What is Imblearn Technique – Everything To Know For Class Imbalance Issues In Machine Learning – Analytics India Magazine

In machine learning, while building a classification model we sometimes come to situations where we do not have an equal proportion of classes. That means when we have class imbalance issues for example we have 500 records of 0 class and only 200 records of 1 class. This is called a class imbalance. All machine learning models are designed in such a way that they should attain maximum accuracy but in these types of situations, the model gets biased towards the majority class and will, at last, reflect on precision and recall. So how to build a model on these types of data set in a manner that the model should correctly classify the respective class and does not get biased.

To get rid of these imbalance class issues few techniques are used called as Imblearn Technique that is mainly used in these types of situations. Imblearn techniques help to either upsample the minority class or downsample the majority class to match the equal proportion. Through this article, we will discuss imblearn techniques and how we can use them to do upsampling and downsampling. For this experiment, we are using Pima Indian Diabetes data since it is an imbalance class data set. The data is available on Kaggle for downloading.

What we will learn from this article?

Class imbalance issues are the problem when we do not have equal ratios of different classes. Consider an example if we had to build a machine learning model that will predict whether a loan applicant will default or not. The data set has 500 rows of data points for the default class but for non-default we are only given 200 rows of data points. When we will build the model it is obvious that it would be biased towards the default class because its the majority class. The model will learn how to classify default classes in a more good manner as compared to the default. This will not be called as a good predictive model. So, to resolve this problem we make use of some techniques that are called Imblearn Techniques. They help us to either reduce the majority class as default to the same ratio as non-default or vice versa.

Imblearn techniques are the methods by which we can generate a data set that has an equal ratio of classes. The predictive model built on this type of data set would be able to generalize well. We mainly have two options to treat an imbalanced data set that are Upsampling and Downsampling. Upsampling is the way where we generate synthetic data so for the minority class to match the ratio with the majority class whereas in downsampling we reduce the majority class data points to match it to the minority class.

Now lets us practically understand how upsampling and downsampling is done. We will first install the imblearn package then import all the required libraries and the pima data set. Use the below code for the same.

As we checked there are a total of 500 rows that falls under 0 class and 268 rows that are present in 1 class. This results in an imbalance data set where the majority of the data points lie in 0 class. Now we have two options either use upsampling or downsampling. We will do both and will check the results. We will first divide the data into features and target X and y respectively. Then we will divide the data set into training and testing sets. Use the below code for the same.

X = df.values[:,0:7]

y = df.values[:,8]

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=7)

Now we will check the count of both the classes in the training data and will use upsampling to generate new data points for minority classes. Use the below code to do the same.

print("Count of 1 class in training set before upsampling :" ,(sum(y_train==1)))

print("Count of 0 class in training set before upsampling :",format(sum(y_train==0)))

We are using Smote techniques from imblearn to do upsampling. It generates data points based on the K-nearest neighbor algorithm. We have defined k = 3 whereas it can be tweaked since it is a hyperparameter. We will first generate the data point and then will compare the counts of classes after upsampling. Refer to the below code for the same.

smote = SMOTE(sampling_strategy = 1 ,k_neighbors = 3, random_state=1)

X_train_new, y_train_new = smote.fit_sample(X_train, y_train.ravel())

print("Count of 1 class in training set after upsampling :" ,(sum(y_train_new==1)))

print("Count of 0 class in training set after upsampling :",(sum(y_train_new==0)))

Now the classes are balanced. Now we will build a model using random forest on the original data and then the new data. Use the below code for the same.

Now we will downsample the majority class and we will randomly delete the records from the original data to match the minority class. Use the below code for the same.

random = np.random.choice( Non_diabetic_indices, Non_diabetic 200 , replace=False)

down_sample_indices = np.concatenate([Diabetic_indices,random])

Now we will again divide the data set and will again build the model. Use the below code for the same.

Conclusion

In this article, we discussed how we can pre-process the imbalanced class data set before building predictive models. We explored Imblearn techniques and used the SMOTE method to generate synthetic data. We first did up sampling and then performed down sampling. There are again more methods present in imblean techniques like Tomek links and Cluster centroid that also can be used for the same problem. You can check the official documentation here.

Also check this article Complete Tutorial on Tkinter To Deploy Machine Learning Model that will help you to deploy machine learning models.

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What is Imblearn Technique - Everything To Know For Class Imbalance Issues In Machine Learning - Analytics India Magazine

Global Machine Learning Market Tends To Show Steady Growth Post Pandemic With Regional Overview and Top Key Players – Verdant News

The research study on Machine Learning Market added byReportspediapresents an extensive analysis of current Machine Learning Market size, drivers, trends, opportunities, challenges, as well as key market segments. In continuation of this data, the Machine Learning Market report covers various marketing strategies followed by key players and distributors.

During the estimated period, the report also mentions the predictable CAGR of the global Machine Learning Market. The report provides readers with accurate past statistics and predictions of the future. In order to get an in-depth overview of Global Machine Learning Market is valued at USD XX million in 2020 and is predictable to reach USD XX million by the end of 2027, growing at a CAGR of XX% between 2020 and 2027.

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Top Key Players:

Luminoso Technologies, Inc.Hewlett Packard Enterprise Development LPSAS Institute Inc.RapidMiner, Inc.Angoss Software CorporationAmazon Web Services Inc.TIBCO Software Inc.DataikuBigML, Inc.Oracle CorporationFractal Analytics Inc.Fair Isaac CorporationDomino Data Lab, Inc.TrademarkVisionGoogle, Inc.Alpine DataTeradataIBM CorporationDell Inc.Baidu, Inc.Intel CorporationKNIME.com AGSAP SEMicrosoft Corporation

The report on Machine Learning market is also provided, details of the company enclosed, SWOT analysis, and PESTEL, Porters five forces, and product life cycle. In the start, the report offers a basic introduction of the Machine Learning industry containing its definition, applications and production technique. Then, the report illustrates the international key Machine Learning industry players in detail.

Geographical Analysis of Machine Learning Market:

Ask For [emailprotected]:

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Machine Learning Market Segmentation:

Machine Learning Market Segmentation By Type:

CloudOn-Premises

Machine Learning Market Segmentation By Application:

BFSIHealthcare and Life SciencesRetailTelecommunicationGovernment and DefenseManufacturingEnergy and Utilities

Global Machine Learning Market: Competitive Analysis

This section of the report identifies a variety of key manufacturers in the market. It helps the reader know the strategies and collaboration that players are focus on combat competition in the market. The wide-ranging report provides a major microscopic look at the market. The reader can discover the footprints of the manufacturers by knowing about the global revenue of manufacturers and sales by manufacturers during the forecast period of 2020 to 2027.

In this Machine Learning market study, the following years are considered to project the market footprint:

History Year:2014 2018

Base Year:2018

Estimated Year:2019

Forecast Year:2020 2027

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Machine Learning market research addresses the following queries:

Main points of the table of contents:

Chapter One: Report Overview

Chapter Two: Trends in Global Growth

Chapter Three: Market Share of Major Players

Chapter Four: Distribution by Type and Application

Chapter Five: United States

Chapter Six: Europe

Chapter Seven: China

Chapter Eight: Japan

Chapter Nine: Southeast Asia

Chapter Ten: India

Chapter Eleven: Central and South America

Chapter Twelve: Profiles of International Players

Chapter Thirteen: Market Forecast 2020-2027

Chapter Fourteen: Analyst Views / Findings

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Global Machine Learning Market Tends To Show Steady Growth Post Pandemic With Regional Overview and Top Key Players - Verdant News

PREDICTING THE OPTIMUM PATH – Port Strategy

A joint venture has seen the implementation of machine learning at HHLAs Container Terminal Burchardkai to optimise import container yard positioning and reduce re-handling moves.

The elimination of costly re-handling moves of import containers has recently been the focus of a joint project between container terminal operator HHLA, its affi liate Hamburg Port Consulting (HPC) and INFORM the Artificial Intelligence (AI) systems supplier. Machine learning sits at the heart of the system.

Dwell time is the unit of time used to measure the period in which a container remains in a container terminal with this typically running from its arrival off a vessel until leaving the terminal via truck, rail or another vessel.

For import containers there is often no specific information available on the pick-up time when selecting a storage slot in the container stack. This can lead to an inefficient container storage location in the yard generating, in turn, the requirement for additional shuffle moves that require extra resources including maintenance and energy consumption.

To mitigate this operational inefficiency, the project partners - HHLA, HPC and INFORM - have recently run a pilot project at HHLAs Container Terminal Burchardkai (CTB) focused on machine learning technology with this applied in order to predict individual import container dwell times and thereby reduce costly re-handling/shuffle moves.

As a specialist in IT software integration and terminal operations, HPC employed the deep learning approach to identify hidden patterns from historical data of container moves at HHLA CTB. This was undertaken over a period of two years and with the acquired information processed into high quality data sets. Assessed by the Syncrotess Machine Learning Module from INFORM and validated by the HPC simulation tool, the results show a significant reduction of shuffle moves resulting in a reduced truck turn time.

PRODUCTIVE IMPLEMENTATION

Dr. Alexis Pangalos, Partner at HPC discussing the project highlights notes: It was a productive implementation of INFORMs Artificial Intelligence (AI) solution for the choice of container storage positions at CTB. The Machine Learning (ML) Module was trained with data from CTBs container handling operations and the outcome from this is a system tailor-made for HHLAs operations.

HPC together with INFORM have integrated the Syncrotess ML Module into the slot allocation algorithms already running within CTBs terminal control system, ITS.

PREDICTING DWELL TIME

INFORMs AI solution predicts the dwell time (i.e., the time period the container is expected to be stored in the yard) and the outbound mode of transport (e.g., rail, truck, vessel) both of which are crucial criteria for selecting an optimised container storage location within the yard. A location that avoids unnecessary re-handling.

Utilising machine learning and AI and integrating these technologies into existing IT infrastructure are the success factors for reaching the next level of optimisations, says Jens Hansen, Executive Board Member responsible for IT at HHLA. A detailed analysis, and a smooth interconnectivity between all different systems, enable the value of improved safety while reducing costs and greenhouse gas emissions, he underlines.

DETAILED DOMAIN KNOWLEDGE

Data availability and data processing are key elements when it comes to utilising AI technology, says Pangalos. It requires a detailed domain knowledge of terminal operations to unlock greater productivity of the terminal equipment and connected processes.

The implementation is based on a machine learning assessment INFORM undertook in 2018 whereby it set out to determine if they could improve optimisation and operational outcomes using INFORMs broader ML algorithms developed for use in other industries such as finance and aviation.

As of 2019, system results indicated a prediction accuracy of 26% for dwell time predictions and 33% for outbound mode of transport predictions.

Dr. Eva Savelsberg, Senior Vice President of INFORMs Logistic Division notes: AI and machine learning allows us to leverage data from our past performance to inform us about how best to approach our future operations our ML Module gives our Operations Research based algorithms the best footing for making complex decisions about what to do in the future.

INFORMs Machine Learning Module allows CTB to leverage insights generated from algorithms that continuously learn from historical data."

Further Information: Matthew Wittemeier m.wittemeier@inform-software.com

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PREDICTING THE OPTIMUM PATH - Port Strategy