New Artificial Intelligence that is Shaping 2021 – Analytics Insight

Artificial intelligence is shaping the world. Learning how to defeat the coronavirus, automate cars, rollout robots are only some of the innovations that are changing the world. Increasing our dependence on medical innovations and customer service is driven by natural language systems became significantly more advanced. Quantum computing carries significance for AI since quantum computing can supercharge AI applications compared to binary-based classical computers.

Artificial Intelligence is the process of developing computers and robots capable of parsing data like a human being. Using machine learning, programmers can create methods that can teach machines how to rationalize, similar to the way humans think. Actions like learning, logic, reasoning, perception, creativity can be replicated by technology and used in every industry. Artificial intelligence works by giving a machine the inputs and letting the device develop its path to achieve its set goal. This type of program allows computers to optimize a situation and streamlines processes.

Within one year of the pandemic spread, Pfizer and Moderna, two healthcare companies, received approval from the U.S. Food and Drug Administration to release their COVID vaccines. It typically takes years, or decades, to develop a new vaccine. As early as March 2020, vaccine candidates to fight covid-19 were undertaking human tests, just a quarter after the first reported cases. The record speed of vaccine development was partly thanks to AI models. Computer models were evaluating all of the components of the COVID-19 virus. The analysis that AI models were considering was well beyond human abilities. There are tens of thousands of subcomponents to the outer proteins of a virus. Machine learning models can sort through this information and predict which subcomponents are the most likely to produce an immune response. The use of AI in vaccine development to fight the COVID-19 vaccine may revolutionize how all vaccines are created moving forward.

Share trading of Baidu rallied following the announcement in February that the company opened its LinearFold AI algorithm for scientific and medical teams. The outfit helps predict the secondary structure of the RNA sequence of a virus. LinearFold predicted the secondary structure of the SARS-CoV-2 RNA sequence in only 27 seconds, 120 times faster than other methods. The development of messenger RNA was the critical component of the vaccines. Instead of conventional approaches, which insert a small portion of a virus to trigger a human immune response, mRNA teaches cells how to make a protein that can prompt an immune response.

Fully automated driving continued to mature as companies continue testing driverless cars, trucks and opening up Robo-taxi services. Fully automatic driving, which enables rides without a human safety driver on board. The trucking business in many countries across the globe is a perfect testing ground for this artificial intelligence. Trucks on highways delivering from one destination to another present the perfect training ground. The day-to-day movement from different locations is removed, and highways are generally easier to navigate than city streets with pedestrians.

When it comes to cities, taxi services appear to be a good launching point. Baidu initiated the Apollo Go Robotaxi service in Changsha, Cangzhou, and Beijing, becoming the first company in China to start Robo-taxi trial operations in multiple cities. Baidus attempt at a Robo-taxi process will test the merits of AI systems and see if they can safely control a vehicle in complex road conditions and solve the majority of possible issues on the road, independent of a human driver.

Customer service in the wake of the pandemic saw an accelerated use of human language AI. Natural language systems experienced significant advances in processing aspects of human language like sentiment and intent. Natural language models are powering more accurate search results and more sophisticated chatbots and virtual assistants, leading to better user experiences. Companies are now using AI bots and chats as the first defense line as call centers were moved off campus to homes. If these processes are successful, it will provide the backdrop for cost-effective ways to interact with customers.

Artificial intelligence increased by leaps and bounds in the last 12-months. The highlight appears to be the introduction of RNA messenger viruses when this was needed more than ever. The future of fighting viruses will likely follow this method, avoiding the need to inject a dead or live virus into a human. Any variation in a virus is likely to be mapped by AI software, providing a cut and paste method to deal directly with variants. Human language methods also came at the right time. The pandemic affected the working environment at a time when customer service made significant advances. Once there is some normalcy to the work and living environment, the move to automated cars and trucks will likely significantly advance, paving the way for additional artificial intelligence.

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New Artificial Intelligence that is Shaping 2021 - Analytics Insight

Luc Julia, world-renowned expert in artificial intelligence, joins Groupe Renault – Automotive World

Groupe Renault announces the appointment of Luc Julia, a worldwide expert in artificial intelligence and co-creator of the Siri technology, as Groupe Chief Scientific Officer.

The arrival of Luc Julia is great news for the company. His exceptional track record in artificial intelligence, data and object connectivity will be key to accelerating the deployment of our strategy and becoming a tech company that integrates vehicles.Renaulutionis all about talent, expertise and team inventiveness, and we are very pleased to welcome Luc at this moment of transformation for the company,said Luca deMeo.

I am very happy and proud to join Groupe Renaulttoday, the flagship of the French automotive industry. Im also happy to be starting theRenaulutionand to join teams that are building the automotive tech company of tomorrow. Together, drawing on my expertise in human-machine interface and IoT, we will develop new and unique experiences for our customers on and off-board and create value for the Groups brands,said Luc Julia.

Luc Julia will be responsible for supporting the functions and brands in the conception and deployment of the Groups roadmap for innovation and key technologies to meet the challenges of tomorrows mobility. In this capacity, he will act as an expert in fields as diverse as artificial intelligence, man-machine interfaces, connectivity and software. He will oversee the research and development of these technologies and innovations for their integration into the Groups product and service plan. He will also interface with key players and partners in the sector, notably in the framework of the Software Rpublique. In order to accelerate the companys shift towards a value chain more focused on next generation services and products, Luc Julia will also be responsible for instilling the Tech culture within the functions and brands.

SOURCE: Renault Group

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Luc Julia, world-renowned expert in artificial intelligence, joins Groupe Renault - Automotive World

Artificial intelligence model predicts which key of the immune system opens the locks of coronavirus – Newswise

Newswise The human immune defense is based on the ability of white blood cells to accurately identify disease-causing pathogens and to initiate a defense reaction against them. The immune defense is able to recall the pathogens it has encountered previously, on which, for example, the effectiveness of vaccines is based. Thus, the immune defense the most accurate patient record system that carries a history of all pathogens an individual has faced. This information however has previously been difficult to obtain from patient samples.

The learning immune system can be roughly divided into two parts, of which B cells are responsible for producing antibodies against pathogens, while T cells are responsible for destroying their targets. The measurement of antibodies by traditional laboratory methods is relatively simple, which is why antibodies already have several uses in healthcare.

"Although it is known that the role of T cells in the defense response against for example viruses and cancer is essential, identifying the targets of T cells has been difficult despite extensive research," says Satu Mustjoki, Professor of Translational Hematology.

AI helps to identify new key-lock pairs

T cells identify their targets in a key and a lock principle, where the key is the T cell receptor on the surface of the T cell and the key is the protein presented on the surface of an infected cell. An individual is estimated to carry more different T cell keys than there are stars in the Milky Way, making the mapping of T cell targets with laboratory techniques cumbersome.

Researchers at Aalto University and the University of Helsinki have therefore studied previously profiled key-lock pairs and were able to create an AI model that can predict targets for previously unmapped T cells.

"The AI model we created is flexible and is applicable to every possible pathogen - as long as we have enough experimentally produced key-lock pairs. For example, we were quickly able to apply our model to coronavirus SARS-CoV-2 when a sufficient number of such pairs were available," explains Emmi Jokinen, M.Sc. and a Ph.D. student at Aalto University.

The results of the study help us to understand how a T cell applies different parts of its key to identify its locks. The researchers studied which T cells recognize common viruses such as influenza-, HI-, and hepatitis B -virus. The researchers also used their tool to analyze the role of T-cells recognizing hepatitis B, which had lost their killing ability after the progression of hepatitis to hepatic cell cancer.

The study has been published in the scientific journalPLOS Computational Biology.

A new life for published data with novel AI models

Tools generated by AI are cost-effective research topics.

"With the help of these tools, we are able to make better use of the already published vast patient cohorts and gain additional understanding of them," points out Harri Lhdesmki, Professor of Computational Biology and Machine Learning at Aalto University.

Using the artificial intelligence tool, the researchers have figured out, among other things, how the intensity of the defense reaction relates to its target in different disease states, which would not have been possible without this study.

"For example, in addition to COVID19 infection, we have investigated the role of the defense system in the development of various autoimmune disorders and explained why some cancer patients benefit from new drugs and some do not", reveals M.D. Jani Huuhtanen, a Ph.D. student at the University of Helsinki, about the upcoming work with the new model.

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Artificial intelligence model predicts which key of the immune system opens the locks of coronavirus - Newswise

Why Computers Will Likely Never Perform Abductive Inferences – Walter Bradley Center for Natural and Artificial Intelligence

Ive been reviewing philosopher and programmer Erik LarsonsThe Myth of Artificial Intelligence.See my earlier posts,here,here,here,here,andhere.

Larson did aninteresting podcast with the Brookings Institution through its Lawfare Blogshortly after the release of his book. Its well worth a listen, and Larson elucidates in that interview many of the key points in his book. The one place in the interview where I wish he had elaborated further was on the question of abductive inference (aka retroductive inference or inference to the best explanation). For me, the key to understanding why computers cannot, and most likely will never, be able to perform abductive inferences is the problem ofunderdetermination of explanation by data. This may seem like a mouthful, but the idea is straightforward. For context, if you are going to get a computer to achieve anything like understanding in some subject area, it needs a lot of knowledge. That knowledge, in all the cases we know, needs to be painstakingly programmed. This is true even of machine learning situations where the underlying knowledge framework needs to be explicitly programmed (for instance, even Go programs that achieve world class playing status need many rules and heuristics explicitly programmed).

Humans, on the other hand, need none of this. On the basis of very limited or incomplete data, we nonetheless come to the right conclusion about many things (yes, we are fallible, but the miracle is that we are right so often). Noam Chomskys entire claim to fame in linguistics really amounts to exploring this underdetermination problem, which he referred to as the poverty of the stimulus. Humans pick up language despite very varied experiences with other human language speakers. Babies born in abusive and sensory deprived environments pick up language. Babies subject to Mozart from the womb and with rich sensory environments pick up language. Language results from growing up with cultured and articulate parents. Language results from growing up with boorish and inarticulate parents. Yet in all cases, the actual amount of language exposure is minimal compared to language ability that emerges and the knowledge of the world that results. On the basis of the language exposure, many different ways of understanding the world might have developed, and yet we seem to get things right (much of the time). Harvard philosopher Willard Quine, in his classicWord and Object(1960), struggled with this phenomenon, arguing for what he calledthe indeterminacy of translationto make sense of it.

The problem of underdetermination of explanation by data appears not just in language acquisition but in abductive inference as well. Its a deep fact of mathematical logic (i.e.,the Lwenheim-Skolem theorem) that any consistent collection of statements (think data) has infinitely many mathematical models (think explanations). This fact is reflected in ordinary everyday abductive inferences. We are confronted with certain data, such as missing documents from a bank safety deposit box. There are many, many ways this might be explained: a thermodynamic accident in which the documents spontaneously combusted and disappeared, a corrupt bank official who stole the documents, a nefarious relative who got access and stole the documents, etc.

But the et cetera here has no end. Maybe it was space aliens. Maybe you yourself took and hid the documents, and are now suffering amnesia. There are a virtually infinite number of possible explanations. And yet, somehow, we are often able to determine the best explanation, perhaps with the addition of more data/evidence. But even adding more data/evidence doesnt eliminate the problem because however much data/evidence you add, the underdetermination problem remains. You may eliminate some hypotheses (perhaps the hypothesis that the bank official did it, but not other hypotheses). But by adding more data/evidence, youll also invite new hypotheses. And how do you know which hypotheses are even in the right ballpark, i.e., that theyre relevant? Why is the hypothesis that the bank official took the documents more relevant than the hypothesis that the local ice cream vendor took them? What about the local zoo keeper? We have no clue how to program relevance, anda fortioriwe have no clue how to program abductive inference (which depends on assessing relevance). Larson makes this point brilliantly in his book.

You may also wish to read:

Are we spiritual machines? Are we machines at all? Inventor Ray Kurzweil proposed in 1999 that within the next thirty years we will upload ourselves into computers as virtual persons, programs on machines. The themes and misconceptions about computers and artificial intelligence that made headlines in the late 1990s persist to this day.

A critical look at the myth of deep learning Deep learning is as misnamed a computational technique as exists. The phrase deep learning suggests that the machine is doing something profound and beyond the capacity of humans. Thats far from the case.

Artificial intelligence understands by not understanding The secret to writing a program for a sympathetic chatbot is surprisingly simple We needed to encode grammatical patterns so that we could reflect back what the human wrote, whether as a question or statement.

Automated driving and other failures of AI How would autonomous cars manage in an environment where eye contact with other drivers is important? In cossetted and sanitized environments in the U.S., we have no clue of what AI must achieve to truly match what humans can do.

and

Artificial intelligence: Unseating the inevitability narrative. William Dembski: World-class chess, Go, and Jeopardy-playing programs are impressive, but they prove nothing about whether computers can be made to achieve AGI. In The Myth of Artificial Intelligence, Erik Larson shows that neither science nor philosophy back up the idea of an AI superintelligence taking over.

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Why Computers Will Likely Never Perform Abductive Inferences - Walter Bradley Center for Natural and Artificial Intelligence

Artificial Intelligence In Medical Diagnostics Market Research Report by Technology, by Application – Global Forecast to 2025 – Cumulative Impact of…

New York, April 19, 2021 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Artificial Intelligence In Medical Diagnostics Market Research Report by Technology, by Application - Global Forecast to 2025 - Cumulative Impact of COVID-19" - https://www.reportlinker.com/p06063085/?utm_source=GNW

Market Statistics:The report provides market sizing and forecast across five major currencies - USD, EUR GBP, JPY, and AUD. This helps organization leaders make better decisions when currency exchange data is readily available.

1. The Global Artificial Intelligence In Medical Diagnostics Market is expected to grow from USD 683.66 Million in 2020 to USD 1,414.56 Million by the end of 2025.2. The Global Artificial Intelligence In Medical Diagnostics Market is expected to grow from EUR 599.45 Million in 2020 to EUR 1,240.31 Million by the end of 2025.3. The Global Artificial Intelligence In Medical Diagnostics Market is expected to grow from GBP 532.91 Million in 2020 to GBP 1,102.64 Million by the end of 2025.4. The Global Artificial Intelligence In Medical Diagnostics Market is expected to grow from JPY 72,964.67 Million in 2020 to JPY 150,969.39 Million by the end of 2025.5. The Global Artificial Intelligence In Medical Diagnostics Market is expected to grow from AUD 992.77 Million in 2020 to AUD 2,054.12 Million by the end of 2025.

Market Segmentation & Coverage:This research report categorizes the Artificial Intelligence In Medical Diagnostics to forecast the revenues and analyze the trends in each of the following sub-markets:

Based on Technology, the Artificial Intelligence In Medical Diagnostics Market studied across Computed Tomography, Magnetic Resonance Imaging, Neuroradiology, and Radiology.

Based on Application, the Artificial Intelligence In Medical Diagnostics Market studied across Data Mining, Data Storage, Follow-up Plan, Image Acquisition, and Processing to Aided Reporting.

Based on Geography, the Artificial Intelligence In Medical Diagnostics Market studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas region surveyed across Argentina, Brazil, Canada, Mexico, and United States. The Asia-Pacific region surveyed across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, South Korea, and Thailand. The Europe, Middle East & Africa region surveyed across France, Germany, Italy, Netherlands, Qatar, Russia, Saudi Arabia, South Africa, Spain, United Arab Emirates, and United Kingdom.

Company Usability Profiles:The report deeply explores the recent significant developments by the leading vendors and innovation profiles in the Global Artificial Intelligence In Medical Diagnostics Market including Aidoc Medical Ltd., Arterys Inc., Butterfly Network Inc., Caption Health, Inc., Enlitic, Inc., Freenome Holdings, Inc., Gauss Surgical Inc., GE Healthcare Inc., General Vision, Inc., Google Inc., Health Fidelity, Inc., IBM Corporation, IBM Corporation, IDx Technologies Inc., Imagen Technologies, Inc., Intel Corporation, Johnson & Johnson Services, Inc., MaxQ AI, Ltd, Medtronic PLC, Microsoft Corporation, Qure.ai, Riverain Technologies, Riverain Technologies, Siemens Healthineers AG, SigTuple Technologies Private Limited, VUNO Inc, and Zebra Medical Vision Ltd.

Cumulative Impact of COVID-19:COVID-19 is an incomparable global public health emergency that has affected almost every industry, so for and, the long-term effects projected to impact the industry growth during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of underlaying COVID-19 issues and potential paths forward. The report is delivering insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecast, considering the COVID-19 impact on the market.

FPNV Positioning Matrix:The FPNV Positioning Matrix evaluates and categorizes the vendors in the Artificial Intelligence In Medical Diagnostics Market on the basis of Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape.

Competitive Strategic Window:The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies. The Competitive Strategic Window helps the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. During a forecast period, it defines the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth.

The report provides insights on the following pointers:1. Market Penetration: Provides comprehensive information on the market offered by the key players2. Market Development: Provides in-depth information about lucrative emerging markets and analyzes the markets3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, and manufacturing capabilities of the leading players5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and new product developments

The report answers questions such as:1. What is the market size and forecast of the Global Artificial Intelligence In Medical Diagnostics Market?2. What are the inhibiting factors and impact of COVID-19 shaping the Global Artificial Intelligence In Medical Diagnostics Market during the forecast period?3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global Artificial Intelligence In Medical Diagnostics Market?4. What is the competitive strategic window for opportunities in the Global Artificial Intelligence In Medical Diagnostics Market?5. What are the technology trends and regulatory frameworks in the Global Artificial Intelligence In Medical Diagnostics Market?6. What are the modes and strategic moves considered suitable for entering the Global Artificial Intelligence In Medical Diagnostics Market?Read the full report: https://www.reportlinker.com/p06063085/?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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Artificial Intelligence In Medical Diagnostics Market Research Report by Technology, by Application - Global Forecast to 2025 - Cumulative Impact of...

Vivienne Westwood turns 80: Her most mind-blowing fashion moments – The Independent

Punk icon, environmental activist and designer extraordinaire Vivienne Westwood celebrates her 80th birthday on April 8.

She emerged on the fashion scene in the 1970s, with her androgynous designs, slogan t-shirts, and irreverent attitude towards the establishment.

Since then, Westwood has continued to break boundaries. Shes responsible for some of fashions most famous designs including her take on the corset, the mini-crini a shortened version of the Victorian crinoline dress and Carrie Bradshaws bridal dress in the 2008 Sex And The City movie.

Westwood has also made a name for herself as an activist, staging public protests to raise awareness around causes close to her heart. As she turns 80, these are just some of her most exuberant fashion moments

Vivienne Westwood

When awarded an OBE in 1992, Westwood wore a perfectly tailored skirt suit with a grey matching hat. The outfit might have been demure, but she soon started twirling for photographers only to reveal she wasnt wearing any knickers underneath. She later told the Daily Mail: I met a man who worked with the Queen and he said she was rather amused by it.

Vivienne Westwood

Westwood returned to Buckingham Palace in 2006 to be made a dame, and was once again without underwear but she refrained from doing any twirling this time. She told the Daily Mail: Dont ask. Its the same answer. I dont wear them with dresses.

Vivienne Westwood at the opening of The Vivienne Westwood Exhibition at the V&A Museum

In 2004 the V&A Museum dedicated an exhibition to Westwoods designs, and she attended the opening in suitably provocative style: wearing a red coat dress that clashed with her vibrant orange hair, and two tiny silver devils horns atop her head.

INDY/LIFE NewsletterBe inspired with the latest lifestyle trends every week

INDY/LIFE NewsletterBe inspired with the latest lifestyle trends every week

Vivienne Westwood British Fashion Awards

Westwood has won multiple gongs at the Fashion Awards including designer of the year twice and for the 2009 ceremony, she played around with proportions in a vibrant orange jacket with big shoulders and a sleek chiffon dress underneath with a revealing slit.

In 2018, Westwood collaborated with another giant of British fashion: Burberry. Westwood appeared in the campaign alongside Kate Moss, wearing the iconic Burberry check with her signature platform shoes and wild hair.

Vivienne Westwood

Westwood often brings an element of performance to her protests in December 2018 she protested fracking by dressing as an angel clutching a stone tablet, reframing the 12 Days of Christmas as the 12 days until climate collapse.

Vivienne Westwood at an anti-fracking demonstration

In 2014, she also shaved her signature orange hair to protest climate change.

In 2020 Westwood protested WikiLeaks founder Julian Assanges extradition hearing by wearing a bright yellow suit and climbing inside a cage. She told journalists she chose yellow because canaries could detect poisonous gases in mines. She said: If the canary died they all got out. Julian Assange is in a cage and he needs to get out. Dont extradite to America.

Im wearing yellow because he still hasnt had any sun. A canary is a beautiful thing and wants to fly.

While most of us have been languishing in sweatpants for the past year, Westwood has continued to dress up and her outfits have been documented on Instagram by her husband and design partner Andreas Kronthaler. Whether its a revealing sculptural outfit

or one of her classic corset designs, Westwood shows age is no boundary to having fun with fashion.

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Vivienne Westwood turns 80: Her most mind-blowing fashion moments - The Independent

Batley cartoon row: Media on a mission to provoke Boris Johnson’s culture war – Middle East Eye

It was dangerous, irresponsible and wholly wrong to publish the name of the Batley teacher who showed his class images of the Prophet Muhammad - and criminal to threaten him. Meanwhile, this largely fabricated controversy plays into the hands of the far-right movements and think tanks which have poured so much time, effort and intellectual resource into the argument that there are irreconcilable tensions between the West and Islam.

Let's take a step back. It has long been evident that there is an unspoken alliance between Muslim militants and Muslim bashers. Both assert that Islam and the West cannot coexist.This belief is false, as history repeatedly proves, but every time a row like this blows up it strengthens their case, with the mainstream media brutally airing their toxic talking points.

Batley and its aftermath has much less to do with free speech than Britishnewspaper columnists have unanimously asserted

In this articleI will explain why the Muslim parents who complained were probably (I use the word probably because it cannot be stressed too strongly that we do not know all the facts) entitled to do so.

I will provide evidence that the press coverage has been twisted to portray Batley Muslims as bigots at war with so "British values".But first I will show that Batley and its aftermath has much less to do with free speech than Britishnewspaper columnists have unanimously asserted.

We never have had untrammelled free speech in Britain. Racist speech is illegal. So is hate speech and the incitement of violence. Decent people welcome these interdictions. Meanwhile, libel laws punish the publication of false and defamatory material. Generally speaking, these laws are only available to the very rich who abuse them to protect their reputation.

Nevertheless, it is hard to argue that libel laws should not exist.

Then there are the rules which protect the state. Britain and our allies have committed terrible crimes overseas, especially though not exclusively in Muslim countries. It is difficult, sometimes impossible,to get some of these crimes reported.

Bear in mind the fate which can await those who do - such as Julian Assange, who has been held in Belmarsh prison for two years and may yet die in jail. His crime:free speech.

As Millie Cooke and I reportedherein the British Journalism Review, the British mainstream media with rare exceptions - have downplayedor ignored the Assange case.Yet the United States' insistence that Assange should be extradited for reporting thetruth about US war crimes is the most serious case involvingfree speech so far this century.

Julian Assange's case exposes British hypocrisy on press freedom

As far as I can discover (I will correct the record if I am wrong) not one of the writers and polemicists who have written so urgently for free speech in Batley have spoken up for Assange.

NotMathew Syed. NotMatthew Parris,Fiyaz Mughal,Charles Moore,JoannaRossiter, Kenan Malik. NorNick Timothyin the Telegraph. Nor any other among the large congregation of writers who have piled in against the school and the so-called Batley protesters in apparent defence of free speech.

I invite theseinfluential writers, some of whom I greatly admire, to ask themselves whether they have been guilty of double standards. The attempted extradition ofAssange is backed by massively powerful global interests including the might of the US and British governments, supported by the military and political establishment in both countries.

Don't forget that the majority of US crimes exposed by Assange illegal incarceration in Guantanamo and elsewhere, massacresof unarmed civilians, torture were carried out inMuslim countries.

Bear in mind that had these been carried out by a Muslim state against western citizens, these crimes would have been greeted by banner headlines and Assange would today be hailed as a hero. Remember that it's because we are talking about western assaults on Muslims, and not the other way around, that Julian Assange is a pariah and his revelations are suppressed.

I now turn to the events at Batley. On 22 March, a religious studies teacher showed an image of the Prophet Muhammad during a discussion about blasphemy.The teacher is reported to have shown an image from French magazine Charlie Hebdo, but the actual image has not been released - and this report has not been confirmed by the school.

A better argument should be about the right to offend - and whether and when the right to free speech overrides the offence and emotional damage caused

There were protests outside the school last Thursday and Friday morning. The teacher has been suspended pending an investigation and is now in hiding. Most of these images have been described as "cartoons," yet cartoons are normally thought of as humorous.

There's nothing remotely humorous or funny about the images produced by Charlie Hebdo about the prophet. Like the Jyllands Posten Danish cartoons, they were targeted at Muslims and calculated to mock and insult.Any depiction of the prophet, revered by Muslims, is forbidden within Islam. It does not matter how respectfulthe portrayal. And these portraits were not respectful.

Was it necessary to display these images?The teacher could have discussed the issue without showing them.

We do not know exactly what was shown, or how the teacher framed the debate. But this is crucial to an understanding of what happened. Some commentators have presented the debate as an alternative between showing the image and observing blasphemy laws.

I have no knowledge at all of whether the teacher presented the issue in that way, although that is what most observers have assumed. If so, that is not a real debate in the context of a class discussion. Defence of free speech is legal.Enforcement of blasphemy laws is illegal since they were abolished inEngland and Wales in 2008 and more recently in Scotland. That leaves nothing to debate.

I suggest that a better argument should be about the right to offend -and whether and when the right to free speech overrides the offence and emotional damage caused.

As always, this argument should be placed in context. We are talking of a class populated by 13- and 14-year-old children, many of whom are Muslim. Guidance is available for teachers handling delicate issues like this. In the course of preparation of this article, I have found it helpful to consult an information pack for teachers calledLiving with Controversy.

Others might care to do the same.

Prevent: We need to listen to those harmed by UK counter-extremism policy

There is one other consideration which the well-paid and comfortable leader writers at the Telegraph and The Times might not have taken into account. Free speech does not exist for 13-year-old Muslim children in Batley.One phrase out of line in a discussion as sensitive as the Charlie Hebdo cartoons and a teacher might feel he had no choice but to report them under Prevent guidelines.

This means that if the teacher did present the issue as a "debate"between the law and an illegal act, rather than what is lawful and the benefits of self-restraint, he was putting pupils at risk.Once again there is no evidence that he did this, but that is what many of the media commentators rushing to his defence appear to assume.

Every article in the mainstream press - bar none - has made essentially the same argument. This case is about free speech versus bigotry.

One thing worries me. We are talking about some of the poorest and least influential people in this country.British commentators pay a zero price for painting these people as bigots who pose an existential threat to our cherished western freedoms.

Episodes like this sometimes make me wonder whether there are in fact two separate categories of free speech. One for us, and one for Muslims

Episodes like this sometimes make me wonder whether there are in fact two separate categories of free speech. One for the rich and one for the poor. One for the powerful and one for the weak. One for us, and one for Muslims. This makes it significant that the only article I have found challenging the consensus was made outside the mainstream media in aself-published blog.

I had not come across the author, Jon Yates, before. He has a book about how to heal fractured societies being published this summer. Yates pointed out that Britain cheerfully acceptsall kinds of interdictions on free speech, and nobody minds. He suggested we should all attempt a mental experiment and imagined that the teacher:

"Had brought in an article from the 1950s America about race relations. He had read it aloud without noticing that in the third and fifth paragraph was the n-word. He had not stopped but had read it out. He had then spent some time loudly discussing exactly how to pronounce the word... Or maybe he decided to act out Othello. To catch everyone's attention, he arrived in class in blackface."

He says that would have been deemed unacceptable. The headmaster would have apologised. The teacher would have been suspended while an investigation was carried out.And that is exactly what happened atBatley. The headmaster acted sensibly. He was not to quote Brendan O'Neill in the Spectator "buckling to religious extremists, cravenly begging for forgiveness for something that ought to be perfectly acceptable in an institute of learning".

Meanwhile, one man more than any other figure has come to embody the "angry Muslims"reportedlyprotesting outside Batley Grammar School. Attentive newspaper readerswill be familiar with his turban, his full silver beard and mask. Photographs present him as the leader of the protests.

I tracked down him down.MuftiMohammed Amin Pandor is a former civil servant. He told me that far from protesting, hewas outside the school at the request of the police, who asked him to calm things down.

I checked. Here isvideo footage of him doing just that,stressing that "due process"should be observed.

Look carefully at the press photographs of Mohammed Pandor and you will see that in some of them the protesters are actually outnumbered by the press.Which was the real baying mob outside the school?

Was it the "angry Muslims"portrayed in British media reports? Or was it the British media on a mission to provoke Boris Johnson's latest culture war?

The views expressed in this article belong to the author and do not necessarily reflect the editorial policy of Middle East Eye.

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Batley cartoon row: Media on a mission to provoke Boris Johnson's culture war - Middle East Eye

GameStop and Bitcoin Renewed a Push to Digitize the Stock Market – The Wall Street Journal

Imagine a world where you could buy stocks, bonds, derivatives, cryptocurrencies or even pieces of art, all on one exchange, 24 hours a day, seven days a week, from anywhere in the world.

On this exchange, trades occur directly between two investors instead of through a complex latticework of brokers, clearinghouses and other middlemen and gatekeepers. They settle, or close, almost instantly, instead of taking up to two days. The system is cheaper, more transparent and ostensibly more open. It is also potentially more volatile and risky for investors; profits can turn into losses in the wink of an eye at any time of the day or night.

Entrepreneurs have for years dreamed of using blockchain technology, the concepts and software underpinning bitcoin, to enable digital trading of virtually any asset. Today the idea seems less far-fetched than ever.

When trading of videogame retailer GameStop Corp. exploded earlier this year, it illustrated just how fragile todays markets can be. It also showed that a new generation of stock traders operates much like crypto traders: Flash mobs of retail traders gathering on social media and targeting an asset for a mass-buy has been a hallmark of cryptocurrency trading for years.

The current capital markets arent built for that kind of trading, but a number of pilot programs and other experiments are investigating how to create digitized markets that can keep up with changing times. Were seeing a tectonic shift start to happen, says Jeffrey Schumacher, the founder of New Asset Exchange, a Manhattan Beach, Calif.-based startup that aims to help companies create and sell digital securities.

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GameStop and Bitcoin Renewed a Push to Digitize the Stock Market - The Wall Street Journal

At $60,000, Is Bitcoin Too Expensive? – Motley Fool

Bitcoin (CRYPTO:BTC) has risen dramatically to a price tag of nearly $60,000 as of early April. Is it still a good time to add the leading cryptocurrency to your portfolio? In thisFool Live video clip,recorded on March 18, senior analyst John Rotonti and Motley Fool Deutschland lead analyst Bernd Schmid discuss Bitcoin's price tag and how investors should think about it.

John Rotonti: So Bitcoin's price has skyrocketed recently. I think it's somewhere around $60,000 U.S. per coin. Is it too late for investors to get in?

Bernd Schmid: I don't think so. I personally don't buy it anymore. It always depends when you get in. I look at it from a portfolio perspective. But I think how I look at it, what could happen to Bitcoin with short term or in the longer term, the one thing I mentioned before, is the $1 trillion market cap compared to what Bitcoin might be in the future. I think a very likely use case is Bitcoin could be the digital gold. Then it could still 7X from today until whenever this might happen, or it could, like I mentioned, if it replaces more than just gold, the value could theoretically be even higher. I think it's the best way to get at least the gauge of could this thing be worth. It's certainly not too late, but, and this is what I want to mention, based on historical cycles, there's about a four-year cycle, which Bitcoin has, and Bitcoin has actually dropped every four years by about 80-90%.

Rotonti: Where are we in that cycle? Do you know where we are in that cycle? Year two, year three?

Schmid: Yes. Actually, the pool part of the cycle is quite short. I think it's about a year, don't fix like I'm not 100% sure. But we are like in the middle of same, in the beginning to middle. Actually, I have a chart what I did and actually PlanB, but I mentioned before he does as well. I did it myself. I chartered the last two cycles and the average of the last two cycles. Right now and the last two cycles you have from the start of the cycle about a 30X to 50X in terms of price movement. So from whatever, from $100 to $5,000 or last time, I think the top was about $20,000. This cycle started with around between five and $10,000. So if you count the 20x, you would be somewhere between $100,000 $200,000, that's where this can go into the cycle. Even when we talked about this cycle, I personally, if you think the top will we reached in the same timeframe like last two cycles, shifted, it will be reached about mid-to-end or begin mid-end. Two to three times increase of Bitcoin until the top is being reached in a couple of months. But then be aware, you never know what's going to go. You don't know if the top is, maybe even sooner, and there might likely, I think there will be a drop by 80% at some point of time I think. I still believe.

Rotonti: That's fascinating Bernd and I love how you scale it by comparing it to real gold. Because if this is the digital gold and it's currently got a $1 trillion market cap. I think you said so far we've mined about $7 to $10 trillion worth of gold, right? so if there's a potential 7-10x run from here, potentially.

Schmid: You know, if you look at it from a value investor's perspective, you actually know that's tough, actually. It never only goes to the value of actually has it always overshoot and undershoot. So it's quite likely that you go even beyond that. You just never know when all these things are going to happen. But one thing is certain, that are relatively certain is that we will have very high volatility. You might be down 50% in a short amount of time. You have to start like these kind of things and consider it if you invest into it.

This article represents the opinion of the writer, who may disagree with the official recommendation position of a Motley Fool premium advisory service. Were motley! Questioning an investing thesis -- even one of our own -- helps us all think critically about investing and make decisions that help us become smarter, happier, and richer.

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At $60,000, Is Bitcoin Too Expensive? - Motley Fool

‘We’ve reached a tipping point’ on bitcoin adoption, Fidelity’s Tom Jessop says – MarketWatch

Tom Jessop, head of Fidelity Digital Assets at Fidelity Investments, says that the maturation and adoption of digital assets as a class of investments will continue at a rapid pace in coming years, signaling that crypto may have turned a corner in traditional finance circles.

I think we continue to see adoption at an accelerated pace for a host of reasons, he said Wednesday afternoon during an interview at MarketWatch and BarronsInvesting in Crypto virtual event series.

Check out: U.S. is behind the curve on crypto regulations, says SEC Commissioner Peirce

Jessop said that a backdrop of ultralow interest rates and an environment that has been stimulated by easy-money policies has helped to drive momentum into bitcoin BTCUSD, +0.62% and other assets, which are increasingly being seen as alternatives to assets that are considered richly priced by some measure and bonds that are offering meager yields.

The S&P 500 index SPX, +0.42% booked its 18th record closing high of 2021 on Wednesday and the Dow Jones Industrial Average DJIA, +0.17% wasnt far from its all-time high as the 10-year Treasury TMUBMUSD10Y, 1.645% yielded around 1.66%.

Read: China may be using bitcoin as financial weapon against U.S., says Peter Thiel

Were not going to get out of this stimulated environment anytime soon, Jessop said. I think weve reached a tipping point.

I think youve had the accumulated experience of now roughly 12 years of the bitcoin blockchain being operative since the genesis block in early 2009. And the pandemic, quite frankly, was a catalyst for institutional adoption, and specifically bitcoin and the narrative, or use-case, around digital gold, Jessop said.

Particularly, in an environment where weve seen unprecedented monetary and fiscal stimulus from central banks and governments in response to the pandemic, he said.

Fidelity has been at the vanguard of integrating digital assets into traditional investment portfolios. The asset manager was one of the first major institutions to explore bitcoin, starting in 2015.

The company created the digital asset unit, which Jessop heads, in 2019.

Bitcoin was trading at $56,500 on Wednesday, up 95% so far this year.

Want to understand the future of cryptos and NFTs? Register for MarketWatchs free live event:https://events.marketwatch.com/crypto/home

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'We've reached a tipping point' on bitcoin adoption, Fidelity's Tom Jessop says - MarketWatch