Proximity Lab Releases Research-focused Report on the Impact of Artificial Intelligence (AI) on Product Design: Features Insights from AI Experts and…

Proximity Lab, a leading UX research, strategy, and design agency, released an in-depth research report that studies the impact of artificial intelligence (AI) on digital product design. The report, "Up & Rising: How AI is Transforming Product Design & Creativity," is free and available for download at Proximity Lab's website.

PORTSMOUTH, N.H. (PRWEB) January 17, 2020

Proximity Lab, a leading UX research, strategy, and design agency, released an in-depth research report that studies the impact of artificial intelligence (AI) on digital product design. The report provides highlights from interviews with AI experts at leading product development companies including Adobe, Alarm.com, Eagle Genomics, MIT Media Lab, Nuance, and Salesforce and summarizes the results of a survey of over 100 digital product designers and knowledge workers.

Key areas of exploration include:

Anthony Finbow, CEO of Eagle Genomics and an expert in AI and ML, was part of the research. "The team at Proximity Lab focused on finding the answer to a critical issue for anyone building products: how to foster the right relationship between AI and the people using it. If you can get these interactions right, you have the opportunity to develop an entirely new conversation that can lead to insights and knowledge that neither a person or machine alone would have uncovered."

The report is divided into the following sections:

The report, "Up & Rising: How AI is Transforming Product Design & Creativity," is free and available for download at Proximity Lab's website.

About Proximity Lab

Proximity Lab is an award-winning interaction design studio with deep experience in research, product strategy and UX design. We are designers, creators and thinkers who bring diverse backgrounds together to develop a common vision to create products that emphasize clarity, simplicity and value. Our team has been helping enterprise software leaders and innovators rethink and reimagine software experiences for over 10 years. Proximity Lab is headquartered in Portsmouth, NH with offices in San Francisco, CA.

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Adamson, Welch: Using artificial intelligence to diagnose cancer could mean unnecessary treatments – St. Paul Pioneer Press

The new decade opened with some intriguing news: The journal Nature reported that artificial intelligence was better at identifying breast cancers on mammograms than radiologists. Researchers at Google Health teamed up with academic medical centers in the United States and Britain to train an AI system using tens of thousands of mammograms.

But even the best artificial intelligence system cant fix the uncertainties of early cancer diagnosis.

To understand why, it helps to have a sense of how AI systems learn. In this case, the system was trained with images labeled as either cancer or not cancer. From them, it learned to deduce features such as shape, density and edges that are associated with the cancer label.

Thus, the process is dependent on starting with data that are correctly labeled. In the AI mammography study, the initial diagnoses were determined by a pathologist who examined biopsy specimens under a microscope after an abnormal mammogram. In other words, the pathologist determined whether the mammogram showed cancer.

Unfortunately, this pathologic standard is problematic. Over the last 20 years there has been a growing recognition that screening mammography has led to substantial overdiagnosis the detection of abnormalities that meet the pathological definition of cancer, yet wont ever cause symptoms or death.

Furthermore, pathologists can disagree about who has breast cancer even when presented with the same biopsy specimens under the microscope. The problem is far less for large, obvious cancers far greater for small (even microscopic), early-stage cancers. Thats because there is a gray area between cancer and not cancer. This has important implications for AI technology used for cancer screening.

AI systems will undoubtedly be able to consistently find subtle abnormalities on mammograms, which will lead to more biopsies. This will require pathologists to make judgments on subtler irregularities that may be consistent with cancer under the microscope, but may not represent disease destined to cause symptoms or death. In other words, reliance on pathologists for the ground truth could lead to an increase in cancer overdiagnosis.

The problem is not confined to breast cancer. Overdiagnosis and disagreement over what constitutes cancer are also problems relevant to melanoma, prostate and thyroid cancer. AI systems are already being developed for screening skin moles for melanoma and are likely to be employed in other cancers as well.

In a piece for the New England Journal of Medicine last month, we proposed a better way of deploying AI in cancer detection. Why not make use of the information contained in pathological disagreement? We suggested that each biopsy used in training AI systems be evaluated by a diverse panel of pathologists and labeled with three distinct categories: unanimous agreement of cancer, unanimous agreement of not cancer, and disagreement as to the presence of cancer. This intermediate category of disagreement would not only help researchers understand the natural history of cancer, but could also be used by clinicians and patients to investigate less invasive treatment for cancers in the gray area.

The problem of observer disagreement is not confined to pathologists; it also exists with radiologists reading mammograms. Thats the problem AI is trying to solve. Yet, while the notion of disagreement may be unsettling, disagreement also provides important information: Patients diagnosed with an early-stage cancer should be more optimistic about their prognoses if there were some disagreement about whether cancer was present, rather than all pathologists agreeing it was obviously cancer.

Artificial intelligence cant resolve the ambiguities surrounding early cancer diagnosis, but it can help illuminate them. And illuminating these gray areas is the first step in helping patients and their doctors respond wisely to them. We believe that training AI to recognize an intermediate category would be an important advance in the development of this technology.

Adewole S. Adamson is a dermatologist and assistant professor of medicine at Dell Medical School at the University of Texas at Austin. H. Gilbert Welch is a senior researcher in the Center for Surgery and Public Health at Brigham and Womens Hospital in Boston and author of Should I Be Tested for Cancer? Maybe Not and Heres Why. They wrote this piece for the Los Angeles Times.

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Adamson, Welch: Using artificial intelligence to diagnose cancer could mean unnecessary treatments - St. Paul Pioneer Press

The rapid growth in artificial intelligence in Japan – Open Access Government

Current rapid growth in artificial intelligence (AI) is fuelled predominantly by the rediscovery of deep learning. When it first surfaced 15 years ago, the concept was met with unfavourable conditions and largely abandoned in the aftermath. Nowadays, deep learning is back, circumstances are right and the field flourishes.

The described third boom in artificial AI and subsequent tightening technological and economic competition sent ripples through various aspects of the social realm, including policymaking. Many countries began working on national AI strategies, including current leaders China and U.S. and Japan also followed suit.

However, what distinguishes Japan from other countries is a consistent concept underlying all introduced regulation the vision of Society 5.0. This new form of society is saturated with AI-related technology, which not only improves the lives of its members, but also creates new aspects and new values. Individual needs are met in a timely and proportionate manner allowing for fulfilled and contented lives. With society 5.0 as a targeted outcome, the recently updated AI Strategy 2019 contains a wide spectrum of necessary actions comprising both facilitating the development of AI and utilising it for the advancement of industry and society.

The strength of the strategy lies in its emphasis on the practical application of AI, Japanese policymakers correctly recognised the versatility of AI and its potential to pervade and transform any given field, employing it to improve and lower costs of various processes, perform tasks beyond human capabilities and gain insight where human-operated analysis didnt reach.

The strategy aims not only to improve situation on a national level, targeting five designated priority areas (manufacturing, transportation and logistics, health and medical care, agriculture and disaster response) but also globally by helping solve major societal problems like ageing society or labour shortage, diversification of energy sources, GHG reduction or more efficient waste management, which lines up perfectly with achieving Sustainable Development Goals. According to the strategy, the solutions developed in Japan would then be made available for the world and if realised successfully, it might just be the advantage that Japan needs to win over its competitors.

Still, reaching the targets mentioned above requires major efforts in at least three vital areas: R&D, data and human resources.

At the moment, Japan along with the rest of the world struggles with a lack of educated professionals capable of handling AI-related technologies. The short-term relief could be brought by encouraging more women to participate in the job market and attracting skilled resources form overseas. In the long-term perspective, Japan is preparing for major educational system reform, introducing AI into curricula and making it obligatory part of the university entrance exam, creating a learning inducive environment for students (sufficient network infrastructure and access to communication devices) and facilitating lifelong learning for the existing workforce.

Recognising data as the sine qua non for the development of AI, the Japanese Government is making considerable effort to facilitate data circulation while maintaining its quality. Notable examples include The Basic Act on the Advancement of Utilising Public and Private Sector Data and The Act on the Protection of Personal Information. It is also worth mentioning, that all the practical applications of AI planned in the new AI Strategy are designed as two-way data flows one direction is technology and data deployment into the industry area and the other is the data gathered from users feeding further development of AI. To organise and structure the exchange, the Japanese Government plans to construct a data linkage infrastructure.

Finally, a lot of effort is also directed at the R&D area, with establishing a network of centres of excellence as the first step. In the search for disruptive innovation, the Japanese Government initiated many R&D programmes, the last of which Moonshot R&D positively surprises with scale and forwardness and also offers many opportunities for international collaboration for European partners.

Japan certainly seems determined to embrace and take advantage of AIs potential in transforming its own society and reinforcing its global position. It would, therefore, be beneficial for European companies to closely follow Japans next movements, as the two have a lot in common. With a shared approach to technology and related values (confirmed recently by the European Unions (EU) welcoming Japans Social Principles of Human-Centric AI) and common rivals, Japan and EU are natural allies and its high time to capitalise on cooperation potential.

For more information about AI policy in Japan, see the Analysis of opportunities for EU SMEs in Japans Data Economy and Artificial Intelligence in connection with Robotics report available on the EU-Japan Centre for Industrial Cooperation website.

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Enterprise Artificial Intelligence Market by Deployment Type, Technology, Organization Size, and Industry Vertical : Global Opportunity Analysis And…

Enterprise Artificial Intelligence (AI) Market by Deployment Type (Cloud and On-Premise), Technology (Machine Learning, Natural Language Processing, Image Processing, and Speech Recognition), Organization Size (Large Enterprises and Small & Medium Enterprises), and Industry Vertical (Media & Advertising, BFSI, IT & Telecom, Retail, Healthcare, Automotive & Transportation, and Others): Global Opportunity Analysis And Industry Forecast, 2019-2026

New York, Jan. 17, 2020 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Enterprise Artificial Intelligence Market by Deployment Type, Technology, Organization Size, and Industry Vertical : Global Opportunity Analysis And Industry Forecast, 2019-2026" - https://www.reportlinker.com/p05828825/?utm_source=GNW

Artificial intelligence has been one of the fastest-growing technologies in recent years. AI is associated to human intelligence with similar characteristics, such as language understanding, reasoning, learning, problem solving, and others. Manufacturers in the market witness enormous underlying intellectual challenges in the development and revision of such technology. AI is positioned at the core of the next-gen software technologies in the market. Companies, such as Google, IBM, Microsoft, and other leading players, have actively implemented AI as a crucial part of their technologies. The increase in number of innovative start-ups and advancements in technology have led to rise in investment in artificial intelligence technologies. Moreover, escalating demand for analyzing and interpreting large amount of data boosts the requirement of artificial intelligence industry solutions. Moreover, development of more reliable cloud computing infrastructures and improvements in dynamic artificial intelligence solutions have a strong impact on the growth potential of the AI market. However, lack of trained and experienced staff hinders the growth of the enterprise Artificial Intelligence (AI) market. Furthermore, increase in adoption of AI in developing economies, such as China, and India are expected to provide major opportunities for the market growth in the upcoming years. Also, on-going developments in smart virtual assistants and robots are anticipated to be opportunistic for the growth of the enterprise artificial intelligence (AI) market. The global enterprise artificial intelligence (AI) market is segmented on the basis of deployment type, technology, organization size, industry vertical, and region. Based on deployment type, the market is bifurcated into cloud and on-premise. Based on technology, the market is divided into machine learning, natural language processing, image processing, and speech recognition. Based on organization size, the market is classified into large enterprises and small & medium enterprises. Depending on industry vertical, the market is segmented into media & advertising, BFSI, IT & telecom, retail, healthcare, automotive & transportation, and others. Based on region, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA. The report includes the profiles of key players operating in the market analysis. These include Alphabet Inc. (Google Inc.), Apple Inc., Amazon Web Services, Inc., International Business Machines Corporation, IPsoft Inc., MicroStrategy Incorporated, NVIDIA Corporation, SAP, Verint, and Wipro Limited.

KEY BENEFITS The report provides an in-depth analysis of the global enterprise artificial intelligence (AI) market trends, key driving factors, and potential areas for product investments. Key players are analyzed with respect to their primary offerings, recent investments, and future development strategies. Porters five forces analysis illustrates the potency of buyers and suppliers operating in the industry. The quantitative analysis of the global enterprise artificial intelligence (AI) market share from 2018 to 2026 is provided to determine the market potential.

KEY MARKET SEGMENTS

BY DEPLOYMENT TYPE Cloud On-premise

BY TECHNOLOGY Machine Learning Natural Language Processing Image Processing Speech Recognition

BY ORGANIZATION SIZE Large Enterprises Small & Medium Enterprises

BY INDUSTRY VERTICAL Media & Advertising BFSI IT & Telecom Retail Healthcare Automotive & Transportation Others

BY REGION North America o U.S. o Canada

Europe o UK o Germany o France o Russia o Rest of Europe

Asia-Pacific o China o Japan o India o Australia o Rest of Asia-Pacific

LAMEA o Latin America o Middle East o Africa

KEY MARKET PLAYERS PROFILED IN THE REPORT Alphabet Inc. (Google Inc.) Apple Inc. Amazon Web Services, Inc. International Business Machines Corporation IPsoft Inc. MicroStrategy Incorporated NVIDIA Corporation SAP Verint Wipro Limited

Read the full report: https://www.reportlinker.com/p05828825/?utm_source=GNW

About ReportlinkerReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need - instantly, in one place.

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#4 on the Franchise 500: How Sonic Drive-In Uses Artificial Intelligence to Improve Customer Service – Entrepreneur

The #4 company on our Franchise 500 list is learning from its customers -- and serving up exactly what they want.

January14, 20202 min read

This story appears in the January 2020 issue ofEntrepreneur. Subscribe

On November 20, 1953, pilot Scott Crossfield took a Douglas Aircraft Skyrocket up over the dusty California desert, blasting through the sound barrier and setting a world record that helped usher in the space age. That same year, the first Sonic Drive-In opened in Shawnee, Okla. Its slogan: Service at the Speed of Sound.

Today, nearly seven decades and 3,600 restaurants later, the company is sonically booming in another direction -- this time, into the era of machine learning. Weve heard from our guests, says Sonic president Claudia San Pedro. They still want us to be fast, but they also want their favorite customized food.

So through a partnership with Mastercard, Sonic is piloting an AI-powered car-side menu board that updates its offering in real time based on the customer, weather, and time of day. Fueled in part by the robust analytics Sonic gathers from its new order-ahead app, the restaurants offerings will grow increasingly personalized, with the goal of creating a tailored experience thats unrivaled in fast food.

But the upward trajectory hasnt been without hiccups.In 2018, Sonics incomerose from $63.7 million to$71.2 million, yet the restaurant saw overall revenuedrop. It was then acquired by Inspire Brands in late 2018 for $2.3 billion, meaning it now shares a corporate parent with the likes of Arbys and Buffalo Wild Wings. The new ownership could be a boon to franchisees: System-wide sales are moving upward, and the partnership provided improved access to delivery services like DoorDash and Uber Eats.

Related:3 Surprising Ways That Video Game Companies Leverage AI

Even as Sonics menu continues to rotate in creations like deep-fried Oreos la Mode and Red Bull Slush, the restaurant isnt sitting on its laurels. In August, it announced that it was using a new creative agency, Mother, and it promised to deliver a revamped brand logo in 2020.

So what can we expect? Something Googie? A rocket? A Footlong Coney dressed in a space suit? Its a little bit of making sure we are grounded in our roots, but with a much more forward-looking view, says San Pedro. Thats all Im going to say.

Check out our complete Franchise 500 rankings, or view more stories here.

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#4 on the Franchise 500: How Sonic Drive-In Uses Artificial Intelligence to Improve Customer Service - Entrepreneur

WikiLeaks founder Assange needs more time to speak to lawyer, court told – Reuters

LONDON (Reuters) - WikiLeaks founder Julian Assange is not getting the time he needs with his legal team to discuss his fight against extradition to the United States, causing delays to the case, his lawyer told a British court on Monday.

WikiLeaks' founder Julian Assange leaves Westminster Magistrates Court in London, Britain January 13, 2020. REUTERS/Simon Dawson

After skipping bail in Britain, Assange spent seven years holed up in Ecuadors embassy in London before he was dragged out by police in April last year.

He is being held in a British jail pending the U.S. extradition case, having served a sentence for skipping bail.

The United States wants him extradited to face 18 charges including conspiring to hack government computers and violating an espionage law. He could spend decades in prison if convicted.

The 48-year-old Australian appeared for Mondays hearing at Westminster Magistrates Court wearing glasses and a dark blazer over a light top. He spoke only to confirm his name and date of birth to the judge and saluted his supporters in the public gallery at the beginning and end of the hearing.

Assanges lawyer Gareth Peirce said difficulty in getting time with Assange had delayed the case, telling the court: This slippage in the timetable is extremely worrying.

He fled to Ecuadors embassy in 2012 to avoid being sent to Sweden to face sex crimes accusations that were dropped last year.

He says the U.S. charges against him are a political attempt to silence journalists and publishers, and that the Swedish allegations were part of a plot to catch him.

Assange made global headlines in early 2010 when WikiLeaks published a classified U.S. military video showing a 2007 attack by Apache helicopters in Baghdad that killed a dozen people, including two Reuters news staff.

Judge Vanessa Baraitser said Assange could have time on Monday to speak to his lawyer and appear in court again later in the day. In that second sitting, Peirce said that she had only had an hour to speak to Assange.

Assanges next hearing is scheduled for Jan. 23. He is due to appear via video link from Londons Belmarsh prison.

Full extradition proceedings are expected to commence in February.

Reporting by Elizabeth Howcroft; Writing by Alistair Smout; Editing by Catherine Evans and Philippa Fletcher

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WikiLeaks founder Assange needs more time to speak to lawyer, court told - Reuters

CNN Reporter Who Got Shredded by GOP Senator Today Peddled One of the Network’s Biggest Trump-Russia Collusion Screw-Ups – Townhall

Sen. Martha McSally (R-AZ) refused to answer a question from CNN reporter Manu Raju. She blew past him, called him a liberal hack, and now everyone is aghast that someone could do such a thing to a reporter from one of the most anti-Trump networks in the country. Before CNN starts digging trenches and loading tear gas for their reporting staff who can do no wrong in their eyes, lets circle back to December of 2017, when Raju reported that Donald Trump, Jr. and other top campaign officials, including then-candidate Donald Trump, had super-secret access to the trove of emails that WikiLeaks had in their possession. Some donor named Michael Erickson emailed the access code. Gasp! Team Trump knew about the DNC emails before they were made public. Talk about a bombshell, except that it wasnt. CNN couldnt take two seconds to read the time stamp on the email. If they did, they would have seen that the emails from Wikileaks had already been made public when this donor email was sent. And for hours, the fake news story was blasted all over the network, but its okay folks. The anonymous source was determined that his or her intentions were not meant to deceive. What idiots do they have working there? Maybe the finest in liberal America.

Lets go to the story, which has now been corrected:

Candidate Donald Trump, his son Donald Trump Jr. and others in the Trump Organization received an email in September 2016 offering a decryption key and website address for hacked WikiLeaks documents, according to an email provided to congressional investigators.

The September 14 email was sent during the final stretch of the 2016 presidential race.

CNN originally reported the email was released September 4 -- 10 days earlier -- based on accounts from two sources who had seen the email. The new details appear to show that the sender was relying on publicly available information. The new information indicates that the communication is less significant than CNN initially reported.

Oh, the memories with this fake news story:

Yeah, but prior to this correction, it was The Washington Postcoming in and doing the clean-up work for this mess:

A 2016 email sent to candidate Donald Trump and top aides pointed the campaign to hacked documents from the Democratic National Committee that had already been made public by the group WikiLeaks a day earlier.

The email sent the afternoon of Sept. 14, 2016 noted that "Wikileaks has uploaded another (huge 678 mb) archive of files from the DNC" and included a link and a "decryption key," according to a copy obtained by The Washington Post.

The writer, who said his name was Michael J. Erickson and described himself as the president of an aviation management company, sent the message to the then-Republican nominee as well as his eldest son, Donald Trump Jr., and other top advisers.

The day before, WikiLeaks had tweeted links to what the group said was 678.4 megabytes of DNC documents.

Raju eventually admitted the whole story was garbage on-air. So, yeahCNNs reporter might have been at the receiving end of some harsh treatment today by a Republican Senator. Hell be fine. And yes, he has confronted Ilhan Omar and other clowns on the Left, but that doesnt negate the fact that he and this network were part of this epic fail. In fact, CNN, in general, is just a hot dumpster fire when it comes to covering this president. I will say so again: when you cant even cover the feeding of koi fisha simple photo opbetween Trump and Japanese Prime Minister Shinzo Abe accurately, your operation has issues.

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CNN Reporter Who Got Shredded by GOP Senator Today Peddled One of the Network's Biggest Trump-Russia Collusion Screw-Ups - Townhall

The OPCW Douma Leaks Part 1: We Need To Talk About Alex – bellingcat – bellingcat

Executive Summary

Over the past year the OPCW has dealt with multiple information leaks, all related to its investigation into the chemical attack on Douma, Syria in April 2018. Two employees have been associated with these leaks: Ian Henderson, who questioned the mechanics of the two cylinders falling from height, and an employee who has so far remained anonymous, who goes by the pseudonym Alex. In this article, we will examine Alexs claims and the related documents leaked by WikiLeaks. In later articles, we will examine Hendersons engineering report and other aspects of the case.

It should be noted that the events around the OPCW cannot be understood without the context of the pressure it has faced, primarily from the Russian Federation. In November 2017, the Russian Federation vetoed the extension of the Joint Investigative Mechanism (JIM), a joint UN-OPCW organisation which had a mandate to assign blame for chemical attacks. The JIM had carried out multiple investigations which found the Syrian government had used both chlorine and Sarin as chemical weapons, including the attack on Khan Sheikhoun, which killed scores of civilians. It also identified that ISIS had used sulfur mustard agent.

Several days after the attack in Douma, the Russian Federation deployed a GRU team to the Hague, which then attempted to hack into the WiFi network of the OPCW. It is possible there have been further attacks that we are not aware of. This of course raises the prospect that Alex is not in fact a real person, and these leaks are simply the Russian government using WikiLeaks to dump documents that theyve hacked, in a similar fashion to the DNC leaks. However, multiple people claim to have met and talked to Alex, and such a scenario therefore seems very unlikely. In either case, the documents presented by WikiLeaks do appear to be genuine.

Chemical Weapons In SyriaThese documents have been used by some actors to question the conclusions of the OPCW. Indeed, if one was to read the Mail on Sunday article, one would believe that this is a similar situation to the build up of the invasion of Iraq in 2003, with a sexed-up dossier used as evidence to justify said invasion.

To be clear, it is not. Chemical weapons have been used throughout the Syrian conflict, primarily by the Syrian government. Multiple independent and reputable investigations by various organisations, including the OPCW, the Independent International Commission of Inquiry on the Syrian Arab Republic, Human Rights Watch, Amnesty International and many others have been carried out. They all agree that the primary user of chlorine and the only user of Sarin has been the Syrian government. This government has used both these agents repeatedly over this conflict. Despite allegations against other parties to the conflict, the only other positively identified user of chemical weapons has been the Islamic State.

Chemical weapon attacks identified by the UNs Independent International Commission of Inquiry on the Syrian Arab Republic

In the case of chlorine, attacks became so common in some areas that the munition remnants were simply collected in piles of munitions outside of town. The GPPi has collated information on credible reports of chlorine attacks here. They run into hundreds of examples.

Documents And ChronologyMany of the accusations against the OPCW have relied on readers not fully understanding the context of chemical weapons use in Syria. These accusations also fail to properly clarify what part of the investigation Alex was actually complaining about. The implication of the Mail on Sunday coverage is that Alexs complaints reflect upon the final FFM Douma report. The Mail on Sunday only mentions a fourth report in passing.

This fourth report, which the Mail on Sunday mentioned once in its entire piece, is in fact the final and authoritative report. Alexs complaints, and the leaked documents which have been used to support them, were not primarily about this final report. Alexs original leaked email, is actually about various drafts of the interim report. These drafts were never intended to be the final report, because there was still so much left to investigate. Although Alex complained about the final report in a later interview, no internal FFM emails have been released in support of that statement.

The Mail on Sunday also caused confusion by referring to these reports as the third or fourth report. This is misleading. There are only two OPCW reports: the interim and final reports. The other two were draft documents. In the same way we would not ask our readers to judge this Bellingcat article on the basis of its drafts, judging the OPCW on the basis of its draft documents is at best shortsighted, at worst intentionally misleading.

In an attempt to remedy this we have provided a list of leaked documents in chronological order, including when they were drafted or published, if they were published at all. We have also included the officially published interim and final reports.

What Is The Basis Of Alexs Complaint?

The key point to bear in mind when examining Alexs initial claims is that they are primarily focused on a set of two draft reports and an interim report that were drafted or published in late June and early July 2018 (entries 5, 6, and 7 in the above table).

The first draft report, also referred to as the inspectors report, is implied to have been drafted primarily by Alex, while the second draft was a management re-draft, also referred to as the redacted report. Ultimately the head of the FFM wrote a further redraft which was published as the interim report. This interim report made no firm conclusion about the use of chlorine gas as a weapon in Douma.

This interim report was never meant to be the definitive report, and both the draft reports and the interim report explicitly note that further investigations are required. The final OPCW Douma report was completed 8 months and many other investigations later. Indeed the final report appears to have addressed, by either accepting or providing further information, many or all of Alexs points.

It should also be borne in mind that at the time of writing, WikiLeaks had not yet released any internal FFM emails (as opposed to general OPCW emails) from after August 30, 2018. This leaves a 6 month gap where a huge amount of investigation, including a further deployment by the FFM, was conducted. It seems either WikiLeaks does not have emails from this period of time, calling into question how long Alex actually spent in the FFM, or the emails during this period do not support Alexs view.

There is also, of course, the possibility that WikiLeaks will release these emails at a later date, however they remain an intensely opaque organisation and do not seem to be open about what material they have actually obtained. This makes it difficult to establish the truth of the matter, as WikiLeaks appears to be selectively releasing documents. Needless to say, we do not believe this furthers the cause of transparency or accountability.

Timeline of work from the final report. Note the work completed (in orange) that happened after the publication of the latest FFM email published by Wikileaks.

The Chemistry

Not only are Alexs claims missing a huge amount of context, but some of them, including his technical analysis, are not as strong as presented by WikiLeaks and others. Our article, Chlorines Unique Fingerprints, goes through these arguments in detail, but we will examine some of the essential points below.

Much has been made of Alex stating that there were only trace quantities of chlorinated organic derivatives discovered, that could have come from a variety of other sources. The FFM accounted for this and deliberately gathered control samples in order to control for this. Indeed, trace quantities are in fact consistent with the amounts that would be expected from this kind of event.

Extract from final FFM report referring to molecular chlorine (Cl2)

One narrative that has taken on particular prominence is the idea that all of the identified chemicals can be found in household cleaning products. As far as were aware, this narrative was first explicitly mentioned by the Moon of Alabama, a conspiracy blog that has not previously demonstrated any kind of chemistry expertise. Previous posts by b on Moon of Alabama about the subject of Sarin are extremely simplistic.

This narrative is obviously flawed. Alex implied that some of the compounds discovered can be found in household chlorine-based bleach. However, these were found in samples taken at both Location 2 and 4, on multiple levels and on the adjacent street. Although it is possible that the inhabitants of Location 2 and 4 were in the habit of cleaning virtually everything in their buildings with bleach, including the walls and rubble in the street, it seems unlikely.

There is also the fact that the highest concentration of chlorinated organic compounds were found in a slat of wood underneath the cylinder on the bed at Location 4. This is the same kind of cylinder, with the same kind of unique modifications, which multiple independent investigations, including by the OPCW, have identified as being used on a regular basis in chlorine attacks. This is entirely unsurprising if the cylinder was indeed the source of chlorine gas.

Another indicator that Alex doesnt even try to grapple with is the corrosion seen throughout both Location 2 and 4. When metal comes into contact with chlorine gas, it will start to corrode rapidly. Accounts from the First World War describe belt buckles turning black within minutes of chlorine attacks. Extensive corrosion was seen and noted by the FFM.

Although the FFM noted that they could not be sure that this corrosion was not related to natural factors, we strongly believe it is related to the contents of the cylinders. Immediately after the attacks, the metal frame around the munition at Location 4 was relatively clean and did not show any clear corrosion (the metal frame at Location 2 was removed by the time the OPCW inspectors arrived). However, by the time the inspectors visited 18 days after the attack, the frame at Location 4 had become heavily corroded. It is clear that these munitions were exposed to something which caused rapid corrosion between the time of the attack and the visit of the FFM.

1: Still from video by Forensic Architecture, 2: Still from video by Forensic Architecture, 3: Image taken on 8th or 9th April, 4: image from Russian news report aired on 26th April, 5: image of cylinder in FFM final report, 6: image of cylinder in Final FFM report after tagging, indicating it was taken on the 3rd June 2018.

Note the progression of corrosion of the framework around the cylinder in the images above. Although dust in the earlier photos obscures some details, it is clear this framework underwent significant corrosion between the initial and final images.

Finally, it should also be noted that there is no single chemical or reaction that indicates the presence of chlorine gas. It is a combination of chemicals and effects, such as rapid corrosion, seen throughout both locations that undermines the notion that any other substance, in isolation, was responsible for their presence at Douma. A person throwing bleach around would not have achieved all these findings and effects. A far more detailed examination of this subject can be read here.

Toxicology: Symptoms

One of the documents that WikiLeaks has released is the minutes of a meeting with toxicologists from a State Party to the OPCW. The stated conclusion of this meeting was that the symptoms observed were inconsistent with chlorine, primarily due to the onset of frothing in a time period of 3-4 hours.

It should be noted that pulmonary edema, which can cause frothing, is a recorded symptom of chlorine gas inhalation. Events similar to Douma are extremely rare, but this graphic image from an industrial chlorine accident in China clearly shows similar frothing symptoms. Compare it with these graphic images of the victims at Douma.

What these toxicologists appear to believe is that the onset of that frothing was too rapid (3-4 hours) to be consistent with chlorine. The toxicologists also considered if there was the possibility that a different agent could have been used, but could not clearly identify alternative agents.

Although it is important to emphasise we are not toxicologists, we found it strange that its possible to find multiple accounts of chlorine gas causing relatively rapid frothing primarily from the First World War. Although these accounts are old, they do describe situations where multiple people were subjected to extremely high concentrations of chlorine.

One medical journal we found from the First World War examines a gas attack in detail and notes the onset of frothing within about 90 minutes. The author of this book, the Colonel-Commandant of the Royal Army Medical Corps, in fact uses this frothing as an indicator the gas they were attacked by was primarily made up of chlorine rather than phosgene. The implication is, of course, that relatively rapid frothing is a known symptom of chlorine gas.

Extract from medical account of gas attack (p. 282)

Indeed, we also found recent academic references to Chlorine causing the rapid onset of pulmonary edema. This 2019 article on Chlorine Gas Toxicity stated Pulmonary edema appears to be the most common cause of morbidity for moderate-to-severe exposures. This usually occurs within 2 to 4 hours of exposure to moderate chlorine concentration (25 to 50 ppm) or 30 to 60 minutes of severe exposure (greater than 50 ppm). We have previously demonstrated that the concentration of chlorine within this building was likely to be well over 50 ppm.

We asked Professor Paul Blanc, who has extensive expertise regarding the adverse effects of chlorine gas on the human respiratory system, about the inconsistency between the conclusion of the toxicologists and the established manifestations of chlorine gas inhalation.

Professor Blanc was incredulous at the stated conclusions of the toxicologists as cited in these minutes. He noted that the onset of pulmonary edema can be quick, and can easily occur within 2-4 hours. In very heavy exposure to chlorine gas, defined by toxicologists as immediately dangerous to life or health, abrupt onset of respiratory distress would not be surprising, indeed, it would be expected. Although there are war gases with more delayed onset of symptoms (phosgene is classic), the hallmark of chlorine is its rapidity of action.

The first draft report also contained an error related to the symptoms seen in open source material. It noted that usually froth, when produced by choking agents, is usually pinkish in colour, but that the froth produced by the victims was white or cream-coloured.

Extract from first draft report

Not only have we shown that white froth does appears to have been a symptom in previous chlorine events, there are also images which clearly show victims with pinkish or brownish secretions. This is a detail which was noted by the FFM team and included in the final report.

Images of the victims depicting brownish or dark secretions. Extremely graphic sources: 1, 2, 3, 4, 5, 6

Toxicology: Actions Of The Victims

There is of course the possibility the toxicologists were not fully aware of the situation of Location 2 in Douma. For example, the experts opinion that it was:

highly unlikely that victims would have gathered in piles at the center of the respective apartments at such a short distance from an escape from any toxic chlorine gas to cleaner air.

This assumption is indicative of a lack of understanding of the context at Location 2 and of the Syrian conflict in general. Chemical attacks in Syria are so commonplace that people already know what to do in the event of one: head upstairs or to higher ground. Interviews conducted by the FFM demonstrate this very clearly:

Heading upstairs or to higher ground in an attempt to avoid chemical attacks has been recorded in FFM reports from incidents as early as 2014.

Extract from FFM report examining alleged chemical attack in 2014.

You can even see people being told to move upstairs and close the doors in this video depicting a chlorine attack in Aleppo.

It should be noted that an inverse form of survivorship bias is displayed here. In the final report, it was noted that:

Some people did move away from the source of the chemical, and survived as a result. Others did not. This is not inconsistent: considering the chaos of that night, with extremely heavy shelling and multiple reports of chemical attacks, staying put would not necessarily have been an irrational choice. It would have been far from clear to the victims where the source of the chlorine gas actually was.

None of the victims could have known a chlorine cylinder had actually landed on the building above them and was discharging its contents into the building they were in. Indeed, those casualties found on higher levels likely made the most rational choice in the circumstances, however, it was one that led them to their deaths.This appears to be confirmed by an interview with a witness. The witness claims to have been in the building and to have lost relatives to this attack. It should be noted that although he blames the rebels, he doesnt elucidate how they carried out the attack, only noting the building was hit. As the journalist who interviewed him notes, blaming the Syrian government for a chemical attack whilst in government held territory would probably not be a wise decision. His statement deserves to be read in full:I sat in the basement when it happened; the house was hit around seven in the evening. We ran out, and women and children ran into the house. They didnt know the house had been hit from above and was filled with gas. The one who ran into the house died immediately. I ran out, feeling dizzy.

For these reasons, questions about why victims did not immediately move to cleaner air display a lack of understanding of chemical weapons use in Syria and the context of the attack in Douma that night. This lack of context may not be the fault of the toxicologists nor those members of the OPCW who spoke to them. The email chain discussing these toxicology minutes notes that the toxicologists insight was (and had to remain) limited. Considering the sensitivity of some of the information the FFM were dealing with, this is entirely understandable.

It should be noted that this single, one hour, meeting with toxicologists from a State Party should not be used as the basis for understanding the attack in Douma. As is noted in other leaks, these toxicologists had limited insight. There were multiple further toxicology consultations in both September and October, after the date of this specific meeting. Indeed, whoever drafted and sent the minutes for this meeting only did so on the 20th August 2018, two-and-a-half months after the meeting itself. Once again, Alex has asked us to draw conclusions with a very limited contextual picture.

Alexs Misleading Statements

Finally, there is the question of Alexs trustworthiness. So far all his communications have been through third parties, such as interviews. His true identity is not currently public knowledge. Brian Whitaker examined Alexs statements and noticed that he has made misleading claims about the contents of the leaked material.

For example, Alex claimed that the First Draft report said that there had been a non chemical-related event. This is not true. As Whitaker notes, the First Draft did not say this: it stated that a non chemical-related incident in Douma was one of the possibilities considered, but that there was insufficient evidence at this time to be able to formulate an authoritative conclusion. Alex also claimed that the report stated that the signs and symptoms of victims were not consistent with poisoning from chlorine, however the report only stated that some of the signs and symptoms were not consistent.

Alex also makes a great deal of Ian Henderson having been a member of the FFM. In his email on the 20th May 2019, Alex said a member of the FFM team has been suspended from his post and escorted from the OPCW building.

However, WikiLeaks also leaked an email chain regarding Hendersons report showing in no uncertain terms that the OPCW did not regard Henderson as being part of the FFM. Bear in mind that at the time this email was written, Sebastien Braha, the Chief of Cabinet to the Director General of the OPCW, had no reason to believe this email would ever be public, and so no incentive to obfuscate Hendersons status. We will examine Hendersons status in more detail in our next article.

Conclusion

Ultimately, every time WikiLeaks has released documents, they have provided material which undermines Alexs claims. Close examination of the contents of these documents show that Alexs statement cannot be taken at face value and must be thoroughly checked. He has clearly misled people over the contents of the documents, the status of Henderson, and the strength of the evidence supporting his conclusions. Questions raised about the chemistry, toxicology and actions of victims in this attack have been thoroughly answered.

It is important to note that the selective releases from WikiLeaks so far do not cover the 6 months period during which a large amount of further investigation was carried out, including further consultations with toxicologists. Breathless headlines from the Mail on Sunday, the opinion section of The Independent, and from WikiLeaks themselves deliberately obscure this.

It is no wonder WikiLeaks seem reticent to leak the whole batch of documents at once: it appears likely that further information will continue to undermine their narrative.

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The OPCW Douma Leaks Part 1: We Need To Talk About Alex - bellingcat - bellingcat

How an Ethereum Offshoot Became a Top 10 Cryptocurrency After an Abrupt 35% Rally – newsBTC

The top ten cryptocurrencies by market cap represent the crme de la crme of the cryptocurrency space, and the altcoins listed alongside Bitcoin and Ethereum there are often considered some of the best and safest investments in the space.

However, one Ethereum offshoot just exploded into the top ten cryptocurrencies by market cap after a sudden, 35% rally, shaking up the crypto market and causing analysts to scratch their heads as to why the sudden surge.

Visit CoinMarketCap and look at the historical snapshots of the top ten cryptocurrencies by market cap throughout the years and months of the past, and youll see many altcoins popping in and out of that list that you may not recognize.

Related Reading | Ready for Liftoff: Altcoin Market Cap Breaks Out of Downtrend

While the list has been regularly dominated by Ripple, Ethereum, and Litecoin, the rest of the top ten regularly fluctuates, depending on which coin is currently experiencing a lot of hype.

But in the latest case of a new crypto asset entering the top ten and with its entry, pushes out another crypto asset, there doesnt appear to be any sudden hype or unusual levels of buzz causing the surge.

Ethereum Classic, the OG Ethereum protocol, has surged over 35% on the day, pushing the altcoin into the top ten cryptocurrencies by market cap.

While its certainly notable that the altcoin has enjoyed an over 35% surge on the day, the real story is that Ethereum Classic is up over 250% over the last 30 days, helping propel it into the top ten cryptocurrencies by market cap, and pushing out Tron, Stellar, and Monero.

Ethereum Classic, like many other altcoins and even the total crypto market cap sans Bitcoin, have all broken out from local downtrend resistance, causing widespread FOMO and skyrocketing cryptocurrency prices.

In just 30 days, the total altcoin market has added over $25 billion in value.

With such massive gains, these assets are bound to correct and correct hard when it happens. Parabolic rallies, as was seen during the crypto hype bubble, often lead to as much as 80% corrections or more. The last major correction wiped out as much as 99% of the value of most altcoins, however, that correction was coming off of multiple thousand percent gains across the board.

Related Reading | Bitcoin Dominance Could Be Poised for Extended Downtrend As Alts Rally

This latest rally wont suffer as deep a correction, but a pullback is almost a certainty. As the days go by, the breakout from downtrend resistance is looking more and more like the bear market could be coming to an end for altcoins, which could lead to another alt season where the asset class outperforms Bitcoin by a wide margin.

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How an Ethereum Offshoot Became a Top 10 Cryptocurrency After an Abrupt 35% Rally - newsBTC

Thailand launches probe into $2.46M cryptocurrency pyramid scam – The Next Web

Cryptocurrency investors who fell for an alleged pyramid scheme that resulted in losses of more than$2.46 million (THB75 million) have asked Thailands Department of Special Investigation (DSI) to investigate.

According to the Bangkok Post, the cryptocurrency project, known as Khung Nong Cryptocurrency Trading, became famous in parts of the country in 2018.

The scheme allegedly promised maximum returns of 8 percent per week, attracting individuals fromKrabi, Trang, Yala, Pattani, and Narathiwat who sold their assets including cars, businesses, and land in order to invest.

[Read:Thailands oldest bank hints at new blockchain app powered by Ripple]

Human rights activistPhadungsak Tienpairoj, who has referred 20 victims to the DSI, has now reportedly taken up the case and prompted the department to investigate alongside law enforcement in the Krabi province.

Thailand made headlines in November 2018 as it prepared to launch its first regulated initial coin offering (ICO) portal in a bid to reinforce its tough stance on cryptocurrency and blockchain.

Although todays news wont bring total solace to victims, its certainly a step in the right direction if theyre ever to recover the lost funds.

Published January 17, 2020 14:30 UTC

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Thailand launches probe into $2.46M cryptocurrency pyramid scam - The Next Web