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LocalBitcoins Bans Bitcoin Buying in Iran in Blow to Rising Crypto Commerce
LocalBitcoins has officially shut off service for Iran-based users, a move that follows weeks of rising rial trading volumes on the platform.
“If you have an account already, you will be able to withdraw your bitcoins, but you will not be able to use the platform for trading,” reads a response by LocalBitcoins to an Iranian user that has circulated in social media and local news websites.
LocalBitcoins has been perhaps the most popular bitcoin trading website among Iranian users, as it doesn’t require international credit card information – something Iranians have been bereft of for decades – and allows users to pay with their local bank accounts.
According to Iranian users, the website was also open to reviewing local bank account documents to resolve potential problems, signaling that they have advisors familiar with the largely isolated Iranian banking system.
“Users will be forced to resort to person-to-person transactions and trusting each other, which increases risks of fraud, sets back the local community, and delays bitcoin prevalence,” he told CoinDesk.
Lastly, some Iranian users have also turned to the KeepChange peer-to-peer exchange, which in the wake of the LocalBitcoins ban sought to reassure possible users that it remains loyal to the bitcoin philosophy of preventing government interference and resisting censorship.
“Iranian users, as well as any other nationalities anywhere in the world, can use KeepChange for buying and selling bitcoin without worrying of any kind of censorship, sanctions, money seizures, etc.,” the exchange told an Iranian website on May 19.
Bitcoin, Ethereum, Ripple, Bitcoin Cash, EOS, Litecoin, Binance Coin, Stellar, Cardano, TRON: Price Analysis May 24
The views and opinions expressed here are solely those of the author and do not necessarily reflect the views of Cointelegraph.
Every investment and trading move involves risk, you should conduct your own research when making a decision.
Cryptocurrency fund manager Brian Kelly expects Bitcoin to rally further in the next few months on the back of its “halvening,”
He proposes investors to buy around the current levels and keep 1% to 5% of their portfolio in Bitcoin.
Similarly, CEO of Morgan Creek Capital Mark Yusko believes that Bitcoin investments will outperform the S&P 500 investment fund over the next 10 years.
Elvira Nabiullina, the head of the Bank of Russia is interested in a gold-backed cryptocurrency as she believes it will improve mutual settlements with global jurisdictions.
The social media giant wants to ensure that its cryptocurrency is liquid, tradeable and secure.
On the upside, if the pair ascends $8,496.53, it can rally to the next resistance of $10,000, which is likely to act as a stiff resistance.
The pair will lose momentum if it breaks down of the 20-day EMA and the trend will turn in favor of the bears if the 50-day SMA cracks.
The bulls are presently attempting to push the price towards the overhead resistance of $450.
Binance Coin (BNB) continues to be the strongest major cryptocurrency as it is consistently making new lifetime highs.
Unlike previous occasions, the digital currency has not corrected to the 20-day EMA after reaching the resistance line.
Our bullish view will be invalidated if the pair reverses direction from the resistance line and plummets below the moving averages.
Conversely, if the bulls hold the moving averages and push the price above $0.14861760, the pair might pick up momentum and rally to $0.22466773.
We will wait for the price to close (UTC time frame) above $0.14861760 before proposing a trade in it.
Though the bulls bought the dip below the 20-day EMA on May 23, they have not been able to propel the cryptocurrency higher.
close (UTC time frame) below $0.073 can result in a fall to the next support of $0.057898.
But if the ADA/USD pair holds the current levels and scales above $0.094256, it will complete a reversal pattern that has a target objective of $0.161275.
Tron (TRX) has held the support at the moving averages and is attempting to rise back above the overhead resistance of $0.02815521.
If the price sustains above this level, the digital currency is likely to pick up momentum.
However, the digital currency has seen a number of failed breakouts in the past few months, hence, we will wait for the price to stay above the range for a few days before confirming the start of a new uptrend.
On the other hand, if the TRX/USD pair reverses direction from the overhead resistance and sinks below $0.0250, it can dip to the next support at $0.02094452.
Self-Proclaimed Satoshi Craig Wright Files US Copyright Registrations for BTC White Paper
Not only did he try to confuse the public with the wrong vistomail (satoshi@ versus satoshin@), but also he did try to create fake PGP keys.
When the hardfork did happen in the altcoin Bitcon Cash, Craig Wright did beg on twitter to convert Bitcoin (core) to his altcoin BitcoinSV.
Then I will disclose proof, so not only Craig Wright will have a fine of 2500 dollars, but they can lock him up so he can not escape , using the backdoor of the court, because a lot of investors he did fool, will be there to confront him.
Right now You, after 10 years after publication of MY white paper, You put your name on it and e-mail and claim rights ?
AI Sector Deal
Throughout history, there have been moments when the progress of technology has taken great steps forward, when a combination of the right tools, a capacity for innovation, and sparks of ingenuity lead to breakthroughs that transform how we live our lives.
From the development of writing, to Gutenberg’s printing press – which advanced the spread of knowledge to the masses and ushered in the enlightenment and scientific revolution – to the first programmable digital computer Colossus, the cost of reproducing and communicating information, or data, has fallen again and again.
At the same time, tools for processing and making sense of large quantities of data have developed exponentially – with artificial intelligence (AI) representing the latest leap.
There is no doubt that machine learning and AI is already improving peoples’ lives, from intelligent personal assistants that can prepare us for changes in the weather, to systems that protect our money from criminals, or devices that offer medical advice from the comfort of our own home.
The Industrial Strategy is built on 5 foundations: We will set Grand Challenges to put the United Kingdom at the forefront of the industries of the future: Key policies include: An independent Industrial Strategy Council will assess our progress and make recommendations to government.
This Sector Deal is the first commitment from government and industry to realise this technology’s potential, outlining a package of up to £0.95 billion of support for the sector, which includes government, industry and academic contributions up to £603 million in newly allocated funding, and up to £342 million from within existing budgets, alongside £250 million for Connected and Autonomous Vehicles.
This support complements and leverages some of the £1.7 billion that has been announced under the cross-sectoral Industrial Strategy Challenge Fund so far, with 5 challenges having AI components that AI businesses will be able to bid into through future competitions.
Their review, published in October 2017, engaged widely with businesses, academia, investors and other stakeholders on ways to boost the UK’s emerging AI sector at home and across the world.
Building on these recommendations and the commitments in the Industrial Strategy and Digital Strategy to grow science, technology, engineering and maths (STEM) and digital skills training, this Sector Deal sets out how the government, universities and industry will work together to greatly improve the supply of skills.
As part of this we will explore data sharing frameworks such as Data Trusts – mechanisms where parties have defined rights and responsibilities with respect to shared data – in order to protect sensitive data, facilitate access to data, and ensure accountability.
For example, one early commitment is our £210 million Challenge on research into the early diagnosis of chronic illness – including a substantial investment in AI diagnostics techniques2.
The use of AI is central to this work, which includes programmes applying AI to raise output in sectors of the economy that have struggled with productivity, from reducing crop disease in the agriculture sector, to delivering services digitally in the public sector.
With a new business starting up every 75 seconds in the UK, and a massive increase in the finance available to knowledge-intensive and innovative firms – such as those developing AI – through the British Business Bank, we are in a strong starting position.
Support AI innovation to raise productivity: Stimulate uptake of AI, including within the public sector: Invest in AI-related R&D to boost productivity: To generate good jobs and greater earning power for all.
Work with schools, universities and industry to ensure a highly-skilled workforce: Enable access to high-skilled global talent: Take steps to promote diversity in the development of AI: Invest to increase the size of the AI workforce: Work to increase the diversity in the AI workforce: To drive a major upgrade to the UK’s infrastructure.
Enhance the UK’s existing data infrastructure: Develop fair, equitable and secure data sharing frameworks: Deliver a strong digital and telecommunications infrastructure across the UK: Work towards interoperable and, where possible, open data standards: Partner in the development of data sharing frameworks: Strengthen and deliver telecommunications and digital infrastructure: To be the best place to start and grow a business.
Develop policy to support AI in the UK: Promote UK Artificial Intelligence globally: Improve the environment for high growth businesses, including in AI: Leadership, policy setting and strategy: Promotion of AI in the UK and globally: Improve the environment for start-ups: To have prosperous communities throughout the United Kingdom.
Work closely with key clusters to provide the support needed for AI businesses to thrive: Take action to expand AI clusters across the UK: Our vision in the Industrial Strategy - for the UK to be the world’s most innovative economy - is supported by a very significant increase in R&D spending between the government and industry.
This will boost R&D spending to 2.4% of GDP by 2027, and 3% over the longer term, beginning with a £725 million investment in new Industrial Strategy Challenge Fund programmes to capture the value of innovation.
In particular, jointly-run research projects will explore: how data science can be applied at scale, the application of AI across supply chains, data-centric engineering and predictive maintenance, and the role of data analytics and AI in science.
As announced in the Industrial Strategy white paper, the government will invest £20 million in GovTech initiatives that will improve the delivery of public services, from transport and the environment, to education and health.
DeepMind, a prominent UK-based AI firm developed out of our leading universities, not only created AlphaGo, (the programme that defeated the world’s greatest player of Go, a fiendishly complex board game) but created a new version which taught itself to defeat the original programme.
Alphabet, the parent company of Google and DeepMind – and a world leader in AI – is building a new headquarters in London that will be home to 7,000 staff: a significant vote of confidence in the UK’s strength in R&D.
The UK has also produced other globally recognised AI firms such as Improbable, which specialises in using AI for virtual reality (VR), and has developed simulation technology with the potential to model the behaviour of millions of people.
Onfido, which was founded 5 years ago to make identity verification checks quicker and easier for businesses, has developed machine learning technology used by businesses all over the world to help hire staff more quickly and easily.
Most recently, we have also seen notable investments in the UK from global AI firms including Ironfly Technologies, a Hong Kong-based startup that uses machine learning in financial services and Element AI, an artificial intelligence solutions provider, which is opening a new R&D centre in London in 2018.
We are confident that the measures announced through this Sector Deal, alongside the government’s vision to be a leader in meeting the challenges posed by AI and data, will lead to further major investments in UK AI from businesses around the world.
A recent government consultation with AI academics highlighted the gap between supply and demand for university places, with one institution turning down 13 viable candidates per available masters place.
We announced in the 2017 Autumn Budget £84 million of new funding to deliver a comprehensive 4 year programme to improve computing education and drive up participation in computer science, including upskilling up to 8,000 computer science teachers, to ensure there is a suitably qualified GCSE teacher in every school.
This presents a great opportunity to ensure the UK attracts the best and brightest talent in AI, alongside world leaders in science, digital technology, engineering, arts and creative sectors.
Without access to good quality data from a range of sources (whether privately or publicly held), AI technologies cannot deliver on their promise of better, more efficient and seamless services.
Open data published by organisations across a range of sectors have enabled other businesses to innovate and build new services, which in turn can make significant contributions to the economy.
The Geospatial Commission announced in the 2017 Autumn Budget will provide strategic oversight to the various public bodies who hold geospatial data, seeking to maximise the growth of the digital economy and consolidate the UK’s position as the best place to start and grow a digital business.
Some of the most valuable data – in terms of its potential for enabling innovation, improving services of realising public sector savings – cannot be made open because it contains nationally critical, personal or commercially sensitive information.
For example, the vision for Data Trusts is that they will allow 2 or more parties in any sector to partner in data sharing agreements, shape the agreements according to their needs and enable multiple organisations to work together to solve a common problem.
More than £1 billion is being invested to develop 5G mobile networks and extend the full-fibre rollout, capable of providing a highly reliable connection and speeds exceeding 1 Gigabit per second.
As part of the Sector Deal, the government will use its convening power to establish an AI Council as a central forum where industry, academia and government leaders can come together to identify opportunities and issues and actions to address them.
And, as part of the government’s broader commitment to increasing investment and exports, AI will benefit from the nine new Trade Commissioners responsible for leading export promotion, inward and outward direct investment, and trade policy overseas.
The huge potential for AI to transform sectors means action is needed now so that new and existing clusters are equipped to support the growing demand for AI, and to be able to offer services locally.
The aim is to link promising AI clusters into a powerful network of high growth AI businesses – part of Tech Nation’s strategy of linking regional tech clusters in London, Cambridge, Bristol and Bath, Manchester, Newcastle, Leeds and Sheffield, Reading, Birmingham, Edinburgh and Glasgow, Belfast, and Cardiff, to create a world leading national network of high growth tech entrepreneurs in the UK.
Welsh company IQE has been at the forefront of the compound semiconductor industry for more than 25 years, and has joined with Cardiff University to invest in developing a compound semiconductor cluster in the area as part of the £1.2 billion City Deal agreed between local authorities, Welsh and UK governments.
- On 21. januar 2021
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