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EURST Stablecoin Reinvention of the European Economy | Sponsored – Bitcoin News

Over the years, we have been introduced to a digital transformation, which has created and shaped communities around the world. Digital technologies have introduced newly evolved ways of how the world interacts, operates, and most of all, conducts exchanges. In the current economic hardship and the Covid-19 global pandemic, the European Union has had to face many operational and structural facts, one of them being the strength of the fiat currency; the Euro.

Since the introduction of the Euro, the currency has been in a consistent debate, regarding its strength and endurance within the global exchange.

This specific criticism is defined by a strategic error, showcasing a dominant flaw; specifically, the Euro not having a strong asset-backed united economy. The fault has been well argued for the fact that the creation of the Euro intended to mimic the firm stance and ability of the US dollar, yet the European Union is still divided via an economic standpoint between members.

Although opinions may vary, one cannot argue the strength of the organizational base of the US economy and consistency of the USD currency portraying a robust stance even with the turmoil of changes the year 2020 has presented.

This is why the US economy was more prepared for the Covid-19 pandemic. The European economy operates via a differentmaybe, one could say, a flawed economic system, and therefore it becomes more vulnerable to change of regulations and stabilize operations during such times Simone Mazzuca

With that in mind, the economic hardship for individuals and businesses within the EU could be reduced by the creating regulations which embrace current and future digital technological possibilities.

The basis of Europe has a strategic position through the exchange and global power, however, in its current stance with addition to BREXIT, Europe finds itself in an even more vulnerable position Simone Mazzuca

Henceforth, the development of stablecoins comes at the right time, especially when international financial policies seem to be polarized by different financial variables and the inflationary nature of the Fiat.

This is why Mr Mazzuca created EURST, a USD asset-backed and live audited stablecoin. The newly developed digital currency from Wallex Trust represents 1 worth of USD, secured by the accounts of the federal reserve and Wallex Trust itself.

Issued as a token on the Ethereum network according to the well-established ERC20 standards, the advanced capabilities of blockchain technology enables users to conduct faster and more secure transactions. This is enabled through the use of smart contracts, which digitize deposited funds that are held in a segregated account by the issuer. Thus, empowering users to transact their money without the high costs and lengthy delays of the current financial system.

EURST can be used as a logistical background for the representation of the Euro Simone Mazzuca

Even more, blockchain technology enables EURST to be fully transparent and live audited as transactions are recorded on the digital ledger, in addition to having regular third-party audits.

This presents the ability not solely to bring transparency and security, but also allows users to store their funds within a trusted Custodian, Wallex Custody. Through the use of opening an account within Wallex Custody, users can benefit from additional security and privacy while maintaining fluidity in the deposit, transfer or withdrawal of personal funds convertible to any currency of choice within a quick and borderless matter.

In conclusion, EURST presents itself with opportunities and possibilities for a better economy, and, we highlight some dominant features:

1. The protection of wealth from losing value in relation to the Euro may use the stablecoin to save money without opening a bank account in Europe2. Users wanting to deposit funds to cryptocurrency exchanges for trading may use EURST instead of Fiat.3. Oversees workers may use EURST to bypass the expensive transfer fees charger when making fiat remittances to their family back home.

Following the above-mentioned advantages, EURST does indeed portray the possibility and opportunity to bring a sort of chameleon option for operations with the Euro currency. The transparency and security of the stablecoin, EURST, is that it brings and gives support to individuals and businesses to operate successfully and this, within an economy that is yet to provide us all with reassurance.

Link to EURST: https://eurst.io/

Link to Wallex Trust: https://wallextrust.com/

Link to Wallex Custody: https://www.wallexcustody.com/

This is a sponsored post. Learn how to reach our audience here. Read disclaimer below.

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Disclaimer: This article is for informational purposes only. It is not a direct offer or solicitation of an offer to buy or sell, or a recommendation or endorsement of any products, services, or companies. Bitcoin.com does not provide investment, tax, legal, or accounting advice. Neither the company nor the author is responsible, directly or indirectly, for any damage or loss caused or alleged to be caused by or in connection with the use of or reliance on any content, goods or services mentioned in this article.

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Bitcoin hopes of record value of over $20,000 dashed after cryptocurrency falls again – Sky News

Bitcoin fell 8.7% on Wednesday - just as it nearedits highest-ever price - passing $19,000 (14,241) for the first time since its 2017 collapse.

It was joined by other cryptocurrencies in the drop, all of which had been buoyed in recent weeks by strong demand from institutional investors.

Despite the losses, Bitcoin - which remains the most valuable and popular digital currency - has increased its value by more than 100% this year.

Some hedge fund managers have suggested it could hit $100,000 (75,000) in 2021.

Brian Estes, a chief investment manager at Off The Chain Capital, said: "I have seen Bitcoin go up 10x, 20x, 30x in a year. So going up 5x is not a big deal."

Others have warned such predictions are outlandish.

Kevin Muir, a trader based in Canada, said: "Any hedge fund model on Bitcoin is rubbish. You can't model a mania. Is it plausible? For sure. It's a mania. But does anyone actually have a clue? Not a chance."

Bank of England Governor Andrew Bailey recently said he was "very nervous" about people using Bitcoin to make payments.

He has also warned that people who invest in the cryptocurrency should be prepared to "lose all their money".

The highly volatile digital asset set a record high of $20,089 (15,062) in December 2017.

However, in the year that followed its value plummeted more than 80% to $3,200 (2,400).

A Sky News investigation found the fall led to businesses collapsing, marriages failing, and some investors defaulting on their mortgages.

Bitcoin was billed as a peer-to-peer electronic cash system when it was unveiled in a white paper in 2008, not long after the financial crash.

The document was written by a person or group using the pseudonym Satoshi Nakamoto, but their identity remains unknown.

Bitcoin has a maximum supply of 21 million coins that will gradually be released between now and 2140, and fractions of them can be traded.

Some have suggested this capped supply has contributed to recent rises as central banks turn to quantitative easing in light of the coronavirus pandemic, which effectively involves printing new money.

The fact that Bitcoin is traded peer-to-peer at a value determined by the market rather than by a central bank has captured the imagination of economic libertarians, as well as criminals seeking to evade law enforcement.

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Should you invest in Bitcoin and how to do it – Telegraph.co.uk

Bitcoin has become headline news again as it approached a record valuation this week, surpassing $19,000 (14,230), before subsequently falling back down towards the $16,500 mark.

A growing number of professional investors argue that Bitcoin, the oldest cryptocurrency and the largest by market value, deserves a place in a diversified portfolio.

Sceptics counter that Bitcoin has no intrinsic value as few people use it to buy things, it is unproven as a safe haven asset and faces the threat of legal clampdowns that could make it worthless.

So should you buy some? And is it ever safe to do so?

Investors should steer clear, according to Felix Milton of Philip J Milton, a financial planning firm, because governments could intervene at any moment and outlaw it as a currency, making it illegal to own. At the moment its allowed to operate but that may not last forever, he said. I would strongly advise against investing unless it becomes regulated by the Government.

If this happened, it would reduce price volatility and legitimise it as an investment. But right now it is too risky to own as a serious investment and is more of a gamble.

Simon King of Vermeer Partners, a wealth manager, said Bitcoin faced two main hurdles before it could be considered investible. He said it needed to be used as a means of exchange, like other currencies, but this was currently not the case. Secondly, it needed to be accepted as a store of value, like gold, but as it was launched only in 2009 it was too early to conclude this.

All this, along with issues around fraud and theft, drastically limit its merits for a serious investor. For those who want to take a small gamble on volatility, fine. But it should not be an investment choice as part of a considered strategy and portfolio, he said.

But not all professional investors are put off by Bitcoins volatility and newcomer status. Tancredi Cordero of Kuros Associates, a wealth manager, said the most important reason to own Bitcoin was that it acted as a hedge as its price moved in different directions from other investments, including gold.

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Russian Hospitalized After Bitcoin Mining Farm Sets Apartment on Fire – CoinDesk – CoinDesk

A poorly organized cryptocurrency mining farm has caused a fire in an apartment in St. Petersburg, Russia, and injured the operator, according to a 78.ru report citing the Ministry of Emergencies.

The resident of the seven-bedroom apartment had apparently failed to set up sufficient cooling for his equipment, and was hospitalized due to severe burns to his hands, neck and back.

The blaze took four fire engines, 16 firefighters and 40 minutes of work to put out, the report indicates.

This is not the first incident of its kind in Russia. In December of 2019, a mining farm set up in a private car garage in the city of Vologda also caught fire, destroying all the equipment, Cnews reported at the time.

And, in February 2019, a larger fire destroyed seven apartments in a residential building in the town of Artem, in the east of Russia.

Illicit mining is a problem across the country. The federal power grid company Rosseti reported losing about $6.6 million last year because of the mining farms plugged into the electric grid illegally.

In 2018, scientists in a nuclear research institute were arrested and later sentenced for using the institutions computers to mine bitcoin.

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Researcher Publishes Never Before Seen Emails Between Satoshi Nakamoto and Hal Finney – Bitcoin News

Just recently three previously unpublished emails from Bitcoins inventor, Satoshi Nakamoto, have been made public. The emails reveal the correspondence between Satoshi and the early Bitcoin developer Hal Finney. The communications between Nakamoto and Finney stem from November 2008 and January 2009, the very month Bitcoin was launched.

On November 27, three emails that have never been seen before were made public in an editorial written by Michael Kaplikov, a professor at Pace University. According to Kaplikov, the emails derived from the New York Times contributor Nathaniel Popper. The NYT journalist also wrote the book Digital Gold and Hal Finneys wife Fran Finney gave Popper the emails at this time. Kaplikov published the emails alongside his editorial after confirming that the emails were indeed legitimate, and stemmed from the now-deceased Hal Finneys old computer.

The first email is dated November 19, 2008, which was nineteen days after Bitcoins mysterious creator published the white paper. Kaplikov, who has been studying the Bitcoin origin story, said that before the email, Nakamoto shared an early version of the Bitcoin codebase with a few people including Hal Finney. The early release origin story is well known, as Ray Dillinger and James A. Donald also received pre-release copies. In the email, Finney asked Satoshi about the number of nodes and scaling the Bitcoin network.

Some of the discussion and concern over performance may relate to the eventual size of the P2P network, Finney wrote to Nakamoto. How large do you envision it becoming? Tens of nodes. Thousands? Millions? And for clients, do you think this could scale to be usable for close to 100% of the worlds financial transactions? Or would you see it as mostly being used for some core subset of transactions that have special requirements, with other transactions using a different payment system that perhaps is based on Bitcoin?

The researcher from Pace University also highlighted that soon after this particular email, Bitcoins creator allowed Finney commit access to the Sourceforge repository. Then another email dated January 8, 2009, shortly after the network was launched, Satoshi wrote to Hal. Thought youd like to know, the Bitcoin v0.1 release with EXE and full sourcecode is up on Sourceforge, Nakamoto wrote. The creator also detailed that release notes and screenshots were also uploaded to the web portal bitcoin.org. The very next day, Finney replied to Nakamotos release email.

Hi, Satoshi, thanks very much for that information, Finney said on January 9. I should have a chance to look at that this weekend. I am looking forward to learning more about the code.

The very next day, Hal Finney took to Twitter and told his followers he was running bitcoin. It seems Finney did get a chance to look at the code after his recent correspondence with Nakamoto. In addition to the three unpublished emails, Kaplikov also discussed the email correspondence between Finney and Nakamoto that was given to the Wall Street Journal back in 2014.

The reason for this is because Kaplikov discusses discrepancies with the emails timestamps. Kaplikov stresses that the January 2009 emails appear to be roughly eight hours ahead of Greenwich Mean Time (GMT). Just recently, new research from The Chain Bulletin contributor Doncho Karaivanov tried to pinpoint Satoshis home location by leveraging all his activity and scatter charts of all the timestamps.

Karaivanovs study assumes that Satoshi Nakamoto lived in London (GMT) when he/she or they created the Bitcoin project. However, studies from the past show that Nakamoto could have also resided in California on the west coast and some have asserted he lived on the eastern side of the United States. Moreover, it is also assumed in a few of the studies that Satoshi Nakamoto pulled a lot of all-nighters and crammed his work before he left the project.

Finney passed away on August 28, 2014, after suffering from complications from Amyotrophic lateral sclerosis (ALS). Bitcoiners and crypto proponents everywhere think of Finney in the highest regard, as he once said that the computer could help liberate people.

It seemed so obvious to me, Finney explained before his death. Here we are faced with the problems of loss of privacy, creeping computerization, massive databases, more centralization and [David] Chaum offers a completely different direction to go in, one which puts power into the hands of individuals rather than governments and corporations. The computer can be used as a tool to liberate and protect people, rather than to control them.

The recently published emails are interesting and give some new insight into the early relationship between Nakamoto and Finney. The emails and Finneys post on Twitter on January 10, clearly show he was very excited about this project and specifically made time available to look at Bitcoin right away. The email timestamps simply add more to the Satoshi Nakamoto identity mystery, and the uncertainty of the inventors whereabouts during the cryptocurrencys creation period.

What do you think about the email correspondence between Nakamoto and Finney? Let us know what you think about this subject in the comments section below.

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Disclaimer: This article is for informational purposes only. It is not a direct offer or solicitation of an offer to buy or sell, or a recommendation or endorsement of any products, services, or companies. Bitcoin.com does not provide investment, tax, legal, or accounting advice. Neither the company nor the author is responsible, directly or indirectly, for any damage or loss caused or alleged to be caused by or in connection with the use of or reliance on any content, goods or services mentioned in this article.

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OKExs Withdrawal Suspension Isnt Behind Bitcoins Rally: Analysts – CoinDesk – CoinDesk

Bitcoins price has been up dramatically since the very day popular exchange OKEx announced the suspension of all crypto withdrawal service on its platform. However, while some tie the two together, many market observers do not see a reason to associate the latest price rally with OKExs issues.

Bitcoin's latest rally came after OKEx's suspension on all crypto withdrawal.

While the price of bitcoin gained significantly since the market sell-off in March, the most recent bullish run began just as OKEx said it suspended all crypto withdrawals because one of its key holders has been out of touch.

However, the suspension of withdrawals on OKEx had little impact on bitcoins price over the past month, said Ki Young Ju, chief executive officer of CryptoQuant.

BTCs price on OKEx is not that different from other exchanges, he said. [P]eople can trade their BTC on OKEx despite the withdrawal suspension.

The Malta-based crypto exchange still remains the No. 1 position for bitcoin futures open interest, currently worth $1.22 billion, according to data source Skew.

OKEx said Thursday it will resume withdrawal service as soon as this week, after founder Mingxing Star Xu was said to have been released from police custody in China. Jay Hao, chief executive officer of OKEx, told CoinDesk its high open interest is a positive indicator for his company.

These are encouraging signs that confidence in the exchange remains high and I believe that even if some users decide to withdraw their funds [as soon as withdrawals are open], which is their total and absolute right, they will soon come back to OKEx, Hao said through a spokesperson on Telegram.

Bitcoins volume from miners to OKEx has also dropped to almost zero since the news came out, as data from Glassnode show.

The muted bitcoin transfer volume from miners to OKEx, whose users are largely Chinese, is in line with the argument that the price surge is partly due to drying up in supply. Miners in China are struggling to turn their bitcoin into cash because of a government crackdown on Chinese exchanges.

Darius Sit, founder of Singapore-based trading firm QCP, connects the situation for miners in China with the market, telling CoinDesk that instead of going to other platforms, miners may have been holding on to their bitcoins as prices continue to climb, causing a tightened bitcoin supply.

Yet, others have largely disagreed with such contentions, saying the supply of bitcoin affected by OKExs withdrawal suspension is relatively small.

As a class, miners arent that large a group of sellers, Ryan Watkins, bitcoin analyst at Messari, told CoinDesk in a Telegram message. [They are] definitely not enough to drive the price up as high as it is.

Instead, Watkins pointed out the recent bitcoin rally is mostly driven by the demand side, as institutional investors in North America have been buying bitcoin in large amounts.

The perfect timing of OKExs suspension and the price rally could be purely coincidental, Watkins added.

Data from Chainalysis also indicate that after mining pools stopped sending bitcoin to OKEx, their newly minted cryptocurrency instead flowed to Binance and Huobi, both of which are also widely used in China.

Binance, Huobi and OKEx in total received 46% of bitcoin sent to exchanges from mining pools in the past 12 months, according to a Nov. 12 report from Chainalysis.

Colin Wu, a journalist based in China who first reported the Chinese miners selling problem in his blog, told CoinDesk in a WeChat message that Western media outlets have largely exaggerated what he wrote, saying the difficulties Chinese miners have had selling bitcoin should have had a minor impact on the recent price rally.

The misunderstanding is that Chinese miners stopped selling coins and caused bitcoin to rise, which is illogical, Wu wrote in a tweet thread. They did not stop selling coins. It was just a little troublesome and the number of miners in China has been decreasing. Miners are moving to the United States and Kazakhstan.

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Boosting Weather Prediction with Machine Learning – Eos

Today predictions of the next several days weather can be remarkably accurate, thanks to decades of development of equations that closely capture atmospheric processes. However, they are not perfect. Data-driven approaches that use machine learning and other artificial intelligence tools to learn from past weather patterns might provide even better forecasts, with lower computing costs.

Although there has been progress in developing machine learning approaches for weather forecasting, an easy method for comparing these approaches has been lacking. Now Rasp et al. present WeatherBench, a new data resource meant to serve as the first standard benchmark for making such comparisons. WeatherBench provides larger volume, diversity, and resolution of data than have been used in previous models.

These data are pulled from global weather estimates and observations captured over the past 40 years. The researchers have processed these data with an eye toward making them convenient for use in training, validating, and testing machine learningbased weather models. They have also proposed a standard metric for WeatherBench users to compare the accuracy of different models.

To encourage progress, the researchers challenge users of WeatherBench to accurately predict worldwide atmospheric pressure and temperature 3 and 5 days into the futuresimilar to tasks performed by traditional, equation-based forecasting models. WeatherBench data, code, and guides are publicly available online.

The researchers hope that WeatherBench will foster competition, collaboration, and advances in the field and that it will enable other scientists to create data-driven approaches that can supplement traditional approaches while also using computing power more efficiently. (Journal of Advances in Modeling Earth Systems (JAMES), https://doi.org/10.1029/2020MS002203, 2020)

Sarah Stanley, Science Writer

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Machine learning – it’s all about the data – KHL Group

When it comes to the construction industry machine learning means many things. However, at its core, it all comes back to one thing: data.

The more data that is produced through telematics, the more advanced artificial intelligence (AI) becomes, due to it having more data to learn from. The more complex the data the better for AI, and as AI becomes more advanced its decision-making improves. This means that construction is becoming more efficient thanks to a loop where data and AI are feeding into each other.

Machine learning is an application of AI that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. As Jim Coleman, director of global IP at Trimble says succinctly, Data is the fuel for AI.

Artificial intelligence

Coleman expands on that statement and the notion that AI and data are in a loop, helping each other to develop.

The more data we can get, the more problems we can solve and the more processing we can throw on top of that, the broader set of problems well be able to solve, he comments.

Theres a lot of work out there to be done at AI and it all centres around this notion of collecting data, organising the data and then mining and evaluating that data.

Karthik Venkatasubramanian, vice president of data and analytics at Oracle Construction and Engineering agrees that data is key, saying: Data is the lifeblood for any AI and machine learning strategy to work. Many construction businesses already have data available to them without realising it.

This data, arising from previous projects and activities, and collected over a number of years, can become the source of data that machine learning models require for training. Models can use this existing data repository to train on and then compare against a validation test before it is used for real world prediction scenarios.

There are countless examples of machine learning at work in construction with a large number of OEMs having their own programmes in place, not to mention whats being worked on by specialist technology companies.

One of these OEMs is USA-based John Deere. Andrew Kahler, a product marketing manager for the company says that machine learning has expanded rapidly over the past few years and has multiple applications.

Machine learning will allow key decision makers within the construction industry to manage all aspects of their jobs more easily, whether in a quarry, on a site development job, building a road, or in an underground application. Bigger picture, it will allow construction companies to function more efficiently and optimise resources, says Kahler.

He also makes the point that a key step in this process is the ability for smart construction machines to connect to a centralised, cloud-based system John Deere has its JDLink Dashboard, and most of the major OEMs have their own equivalent system.

The potential for machine learning to unlock new levels of intelligence and automation in the construction industry is somewhat limitless. However, it all depends on the quality and quantity of data were able to capture, and how well were able to put it to use though smart machines.

USA-based Built Robotics was founded in 2016 to address what they saw as gap in the market the lack of technology being used across construction sites, especially compared to other industries. The company upgrade construction equipment with AI guidance systems, enabling them to operate fully autonomously.

The company typically works with equipment comprising excavators, bulldozers, and skid steer loaders. The equipment can only work autonomously on certain repetitive tasks; for more complex tasks an operator is required.

Erol Ahmed, director of communications at Built Robotics says that founder and CEO Noah Ready-Campbell wanted to apply robotics to where it would be really helpful and have a lot of change and impact, and thus settled on the construction industry.

Ahmed says that the company are the only commercial autonomous heavy equipment and construction company available. He adds that the business which operates in the US and has recently launched operations in Australia is focused on automating specific workflows.

We want to automate specific tasks on the job site, get them working really well. Its not about developing some sort of all-encompassing robot that thinks and acts like a human and can do anything you tell it to. It is focusing on specific things, doing them well, helping them work in existing workflows. Construction sites are very complicated, so just automating one piece is very helpful and provides a lot of productivity savings.

Hydraulic system

Ahmed confirms that as long as the equipment has an electronically controlled hydraulic system converting a, for example, Caterpillar, Komatsu or a Volvo excavator isnt too different. There is obviously interest in the company as in September 2019 the company announced it had received US$33 million in investment, bringing its total funding up to US$48 million.

Of course, a large excavator or a mining truck at work without an operator is always going to catch the eye, and our attention and imagination. They are perhaps the most visual aspect of machine learning on a construction site, but there are a host of other examples that are working away in the background.

As Trimbles Coleman notes, I think one of the interesting things about good AI is you might not know whats even there, right? You just appreciate the fact that, all of a sudden, theres an increase in productivity.

AI is used in construction for specific tasks, such as informing an operator when a machine might fail or isnt being used productively to a broader and more macro sense. For instance, for contractors planning on how best to construct a project there is software with AI that can map out the most efficient processes.

The AI can make predictions about schedule delays and cost overruns. As there is often existing data on schedule and budget performance this can used to make predictions and these predictions will get better over time. As we said before; the more data that AI has, the smarter it becomes.

Venkatasubramanian from Oracle adds that smartification is happening in construction, saying that: Schedules and budgets are becoming smart by incorporating machine learning-driven recommendations.

Supply chain selection is becoming smart by using data across disparate systems and comparing performance. Risk planning is also getting smart by using machine learning to identify and quantify risks from the past that might have a bearing on the present.

There is no doubt that construction has been slower than other industries to adopt new technology, but this isnt just because of some deep-seated reluctance to new ideas.

For example, agriculture has a greater application of machine learning but it is easier for that sector to implement it every year the task for getting in the crops on a farm will be broadly similar.

New challenges

As John Downey, director of sales EMEA, Topcon Positioning Group, explains: With construction theres a slower adoption process because no two projects or indeed construction sites are the same, so the technology is always confronted with new challenges.

Downey adds that as machine learning develops it will work best with repetitive tasks like excavation, paving or milling but thinks that the potential goes beyond this.

As we move forward and AI continues to advance, well begin to apply it across all aspects of construction projects.

The potential applications are countless, and the enhanced efficiency, improved workflows and accelerated rate of industry it will bring are all within reach.

Automated construction equipment needs operators to oversee them as this sector develops it could be one person for every three or five machines, or more, it is currently unclear. With construction facing a skills shortage this is an exciting avenue. There is also AI which helps contractors to better plan, execute and monitor projects you dont need to have machine learning type intelligence to see the potential transformational benefits of this when multi-billion dollar projects are being planned and implemented

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Need a Hypothesis? This A.I. Has One – The New York Times

They found that the top 10 sets of attitudes linked to having strict ethical beliefs included views on religion, views about crime and confidence in political leadership. Two of those 10 stood out, the authors wrote: the belief that humanity has a bright future was associated with a strong ethical code, and the belief that humanity has a bleak future was associated with a looser one.

We wanted something we could manipulate, in a study, and that applied to the situation were in right now what does humanitys future look like? Dr. Savani said.

In a subsequent study of some 300 U.S. residents, conducted online, half of the participants were asked to read a relatively dire but accurate accounting of how the pandemic was proceeding: China had contained it, but not without severe measures and some luck; the northeastern U.S. had also contained it, but a second wave was underway and might be worse, and so on.

This group, after its reading assignment, was more likely to justify violations of Covid-19 etiquette, like hoarding groceries or going maskless, than the other participants, who had read an upbeat and equally accurate pandemic tale: China and other nations had contained outbreaks entirely, vaccines are on the way, and lockdowns and other measures have worked well.

In the context of the Covid-19 pandemic, the authors concluded, our findings suggest that if we want people to act in an ethical manner, we should give people reasons to be optimistic about the future of the epidemic through government and mass-media messaging, emphasizing the positives.

Thats far easier said than done. No psychology paper is going to drive national policies, at least not without replication and more evidence, outside experts said. But a natural test of the idea may be unfolding: Based on preliminary data, two vaccines now in development are around 95 percent effective, scientists reported this month. Will that optimistic news spur more-responsible behavior?

Our findings would suggest that people are likely to be more ethical in their day-to-day lives, like wearing masks, with the news of all the vaccines, Dr. Savani said in an email.

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Artificial Intelligence and Machine Learning Together To Reach the Culmination of Growth By 2023 – thepolicytimes.com

Artificial Intelligence (AI) is the technology that enables a machine to stimulate human behavior. It is one of the trending technologies and machine learning is its main subset. AI system completely deals with structured and unstructured data. Machine Learning (ML) is a subset of Artificial Intelligence and it explores the development of algorithms that learn from the given data. These kinds of algorithms are able to learn from the given data and teach themselves to adapt to new circumstances and perform certain tasks.

The Big Data augmenting the intelligence in machines

In many areas of research and industry, ML and AI are becoming dominant problem-solving techniques. A similar fundamental hypothesis is shared by both ML and AI; and computation is a better way to model intelligent behavior in machines. Computation does not reinforce learning methods and also does not search for probabilistic techniques. Big data is no fad. As the world is growing at an exponential rate, the size of the data collected across the globe is also growing. Data is becoming contextually relevant which is breaking new ground for ML and AI.

The need for AI and ML

Data is the lifeblood of all businesses. AI automates repetitive learning and analyzes more and deeper data using neural networks that have many hidden layers. In summary, the goal of AI is to create technology that allows machines to function in an intelligent manner. The difference between keeping up with the competition and falling further behind is actually been increased at a high scale by data-driven decisions. So, Machine learning can play a great role to unlock the value of customer data and also enact decisions that keep a company ahead of the competition.

Also read: Artificial Intelligence; Why Journalism Needs to be Human- Centric?

The balancing skills between AI and ML

As stated by Terry Simpson, technical evangelist at Nintex, the skill sets between AI and ML vary at an extreme level. On one hand, there is the technical developer who can execute a given task after been taking the desired outcome, and on the other hand, there is the business analyst who needs to point out that what the business actually needs and see the vision to automate it. Even more, organizations are starting to understand the ways that how AI and ML can have a positive strategic impact.

The PolicyTimes suggestions

Also read: Artificial Intelligence to conquer the world in 50 years

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Artificial Intelligence and Machine Learning Together To Reach the Culmination of Growth By 2023

Description

In the list of trending technologies, AI and ML are growing at a rapid rate. The implementations of artificial intelligence are holistic, so they are relying heavily on machine learning to learn patterns from vast data sets.

Author

TPT Bureau

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THE POLICY TIMES

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