RealityEngines.AI Comes out of Stealth and Launches the World’s First Completely Autonomous AI Service – AiThority

RealityEngines.AI, a San Francisco-based AI and machine learning research startup, is coming out of stealth and launching the worlds first completely autonomous cloud AI service to address common enterprise use-cases. The cloud AI service automatically creates, deploys and maintains deep learning systems in production. The engine handles setting up data pipelines, scheduled retraining of models from new data, provisioning high availability online model serving from raw data using a feature store service, and providing explanations for the models predictions. The service is the first of its kind and helps organizations with little to no machine learning expertise plug and play state-of-the-art AI into their existing applications and business processes effortlessly.

RealityEngines.AI tackles common enterprise use-cases including user churn predictions, fraud detection, sales lead forecasting, security threat detection, and cloud spend optimization. Customers simply have to pick a use-case that is applicable to them and then point their data to RealityEngines. The service will then process the data, train a model, deploy it in production and maintain the system for them. Behind the scenes, RealityEngines.AI searches several thousand neural net architectures to find the best neural net model based on the use-case and dataset. The underlying neural net model trained by RealityEngines.AI surpasses custom models that are hand-tuned by experts and take months to put into production.

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Another common barrier to organizations deploying deep learning systems in production is the lack of large volumes of good data. RealityEngines.AI has built on existing research and invented a new technique to effectively handle smaller, incomplete and noisy datasets. The company has developed a technique based on generative models (GANS). This technique creates synthetic data that augments the original dataset. and then trains a deep learning model on the combined dataset. These models yield up to 15% improvement in accuracy compared to models that are trained without using this augmentation technique.

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RealityEngines.AI has created a fun visual demo to showcase their technology. The demo generates versions of celebrities expressing different emotions such as happiness, sadness, anger, disgust, and surprise, transforming their age and gender and mouthing famous quotes. The technology works on virtually any photo with a face and can be tested by uploading a selfie. Behind the scenes, a generative model will create multiple versions of the selfie in near real-time. The same technology is re-purposed to create different samples of the original data and a synthetic dataset. This dataset can be used to train robust models even when there is insufficient raw data.

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RealityEngines.AI Comes out of Stealth and Launches the World's First Completely Autonomous AI Service - AiThority

Machine Learning in Retail Market forecast to 2026 interpreted by a new report – WhaTech Technology and Markets News

The latest report published by ReportsnReports has titled Global Machine Learning in Retail Market by Application, By Region and Key Participants Market Status and Outlook, Competition landscape, share, growth rate, future trends, Opportunities and challenges.

This report presents the worldwide Machine Learning in Retail Market size (value, production and consumption), splits the breakdown (data status 2015-2019 and forecast to 2026), by manufacturers, region, type and application. This study also analyzes the market status, market share, growth rate, future trends, market drivers, opportunities and challenges, risks and entry barriers, sales channels, distributors and Porters Five Forces Analysis.

This report focuses on the global Machine Learning in Retail status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Machine Learning in Retail development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.

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Top Manufacturers Analysis:

- IBM- Microsoft- Amazon Web Services- Oracle- SAP- Intel- NVIDIA- Google- Sentient Technologies- Salesforce- ViSenze

Market segment by Regions/Countries, this report covers- North America- Europe- China- Japan- Southeast Asia- India- Central & South America

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Market segment by Type, the product can be split into- Cloud Based- On-Premises

Market segment by Application, split into- Online- Offline

Major Points from Table of Contents

List of Tables:

Table 1. Machine Learning in Retail Key Market SegmentsTable 2. Key Players Covered: Ranking by Machine Learning in Retail RevenueTable 3. Ranking of Global Top Machine Learning in Retail Manufacturers by Revenue (US$ Million) in 2019Table 4. Global Machine Learning in Retail Market Size Growth Rate by Type (US$ Million): 2020 VS 2026Table 5. Key Players of Cloud BasedTable 6. Key Players of On-PremisesTable 7. Global Machine Learning in Retail Market Size Growth by Application (US$ Million): 2020 VS 2026Table 8. Global Machine Learning in Retail Market Size by Regions (US$ Million): 2020 VS 2026Table 9. Global Machine Learning in Retail Market Size by Regions (2015-2020) (US$ Million)Table 10. Global Machine Learning in Retail Market Share by Regions (2015-2020)Table 11. Global Machine Learning in Retail Forecasted Market Size by Regions (2021-2026) (US$ Million)Table 12. Global Machine Learning in Retail Market Share by Regions (2021-2026)Table 13. Market Top TrendsTable 14. Key Drivers: Impact AnalysisTable 15. Key ChallengesTable 16. Machine Learning in Retail Market Growth StrategyTable 17. Main Points Interviewed from Key Machine Learning in Retail PlayersTable 18. Global Machine Learning in Retail Revenue by Players (2015-2020) (Million US$)Table 19. Global Machine Learning in Retail Market Share by Players (2015-2020)Table 20. Global Top Machine Learning in Retail Players by Company Type (Tier 1, Tier 2 and Tier 3) (based on the Revenue in Machine Learning in Retail as of 2019)Table 21. Global Machine Learning in Retail by Players Market Concentration Ratio (CR5 and HHI)Table 22. Key Players Headquarters and Area ServedTable 23. Key Players Machine Learning in Retail Product Solution and ServiceTable 24. Date of Enter into Machine Learning in Retail MarketTable 25. Mergers & Acquisitions, Expansion PlansTable 26. Global Machine Learning in Retail Market Size by Type (2015-2020) (Million US$)Table 27. Global Machine Learning in Retail Market Size Share by Type (2015-2020)Table 28. Global Machine Learning in Retail Revenue Market Share by Type (2021-2026)Table 29. Global Machine Learning in Retail Market Size Share by Application (2015-2020)Table 30. Global Machine Learning in Retail Market Size by Application (2015-2020) (Million US$)Table 31. Global Machine Learning in Retail Market Size Share by Application (2021-2026)Table 32. North America Key Players Machine Learning in Retail Revenue (2019-2020) (Million US$)Table 33. North America Key Players Machine Learning in Retail Market Share (2019-2020)Table 34. North America Machine Learning in Retail Market Size by Type (2015-2020) (Million US$)Table 35. North America Machine Learning in Retail Market Share by Type (2015-2020)Table 36. North America Machine Learning in Retail Market Size by Application (2015-2020) (Million US$)Table 37. North America Machine Learning in Retail Market Share by Application (2015-2020)Table 38. Europe Key Players Machine Learning in Retail Revenue (2019-2020) (Million US$)Table 39. Europe Key Players Machine Learning in Retail Market Share (2019-2020)Table 40. Europe Machine Learning in Retail Market Size by Type (2015-2020) (Million US$)Table 41. Europe Machine Learning in Retail Market Share by Type (2015-2020)Table 42. Europe Machine Learning in Retail Market Size by Application (2015-2020) (Million US$)Table 43. Europe Machine Learning in Retail Market Share by Application (2015-2020)Table 44. China Key Players Machine Learning in Retail Revenue (2019-2020) (Million US$)Table 45. China Key Players Machine Learning in Retail Market Share (2019-2020)Table 46. China Machine Learning in Retail Market Size by Type (2015-2020) (Million US$)Table 47. China Machine Learning in Retail Market Share by Type (2015-2020)Table 48. China Machine Learning in Retail Market Size by Application (2015-2020) (Million US$)Table 49. China Machine Learning in Retail Market Share by Application (2015-2020)Table 50. Japan Key Players Machine Learning in Retail Revenue (2019-2020) (Million US$)Table 51. Japan Key Players Machine Learning in Retail Market Share (2019-2020)Table 52. Japan Machine Learning in Retail Market Size by Type (2015-2020) (Million US$)Table 53. Japan Machine Learning in Retail Market Share by Type (2015-2020)Table 54. Japan Machine Learning in Retail Market Size by Application (2015-2020) (Million US$)Table 55. Japan Machine Learning in Retail Market Share by Application (2015-2020)Table 56. Southeast Asia Key Players Machine Learning in Retail Revenue (2019-2020) (Million US$)Table 57. Southeast Asia Key Players Machine Learning in Retail Market Share (2019-2020)Table 58. Southeast Asia Machine Learning in Retail Market Size by Type (2015-2020) (Million US$)Table 59. Southeast Asia Machine Learning in Retail Market Share by Type (2015-2020)Table 60. Southeast Asia Machine Learning in Retail Market Size by Application (2015-2020) (Million US$)Table 61. Southeast Asia Machine Learning in Retail Market Share by Application (2015-2020)Table 62. India Key Players Machine Learning in Retail Revenue (2019-2020) (Million US$)Table 63. India Key Players Machine Learning in Retail Market Share (2019-2020)Table 64. India Machine Learning in Retail Market Size by Type (2015-2020) (Million US$)Table 65. India Machine Learning in Retail Market Share by Type (2015-2020)Table 66. India Machine Learning in Retail Market Size by Application (2015-2020) (Million US$)Table 67. India Machine Learning in Retail Market Share by Application (2015-2020)Table 68. Central & South America Key Players Machine Learning in Retail Revenue (2019-2020) (Million US$)Table 69. Central & South America Key Players Machine Learning in Retail Market Share (2019-2020)Table 70. Central & South America Machine Learning in Retail Market Size by Type (2015-2020) (Million US$)Table 71. Central & South America Machine Learning in Retail Market Share by Type (2015-2020)Table 72. Central & South America Machine Learning in Retail Market Size by Application (2015-2020) (Million US$)Table 73. Central & South America Machine Learning in Retail Market Share by Application (2015-2020)Table 74. IBM Company DetailsTable 75. IBM Business OverviewTable 76. IBM ProductTable 77. IBM Revenue in Machine Learning in Retail Business (2015-2020) (Million US$)Table 78. IBM Recent DevelopmentTable 79. Microsoft Company DetailsTable 80. Microsoft Business OverviewTable 81. Microsoft ProductTable 82. Microsoft Revenue in Machine Learning in Retail Business (2015-2020) (Million US$)Table 83. Microsoft Recent DevelopmentTable 84. Amazon Web Services Company DetailsTable 85. Amazon Web Services Business OverviewTable 86. Amazon Web Services ProductTable 87. Amazon Web Services Revenue in Machine Learning in Retail Business (2015-2020) (Million US$)Table 88. Amazon Web Services Recent DevelopmentTable 89. Oracle Company DetailsTable 90. Oracle Business OverviewTable 91. Oracle ProductTable 92. Oracle Revenue in Machine Learning in Retail Business (2015-2020) (Million US$)Table 93. Oracle Recent DevelopmentTable 94. SAP Company DetailsTable 95. SAP Business OverviewTable 96. SAP ProductTable 97. SAP Revenue in Machine Learning in Retail Business (2015-2020) (Million US$)Table 98. SAP Recent DevelopmentTable 99. Intel Company DetailsTable 100. Intel Business OverviewTable 101. Intel ProductTable 102. Intel Revenue in Machine Learning in Retail Business (2015-2020) (Million US$)Table 103. Intel Recent DevelopmentTable 104. NVIDIA Company DetailsTable 105. NVIDIA Business OverviewTable 106. NVIDIA ProductTable 107. NVIDIA Revenue in Machine Learning in Retail Business (2015-2020) (Million US$)Table 108. NVIDIA Recent DevelopmentTable 109. Google Business OverviewTable 110. Google ProductTable 111. Google Company DetailsTable 112. Google Revenue in Machine Learning in Retail Business (2015-2020) (Million US$)Table 113. Google Recent DevelopmentTable 114. Sentient Technologies Company DetailsTable 115. Sentient Technologies Business OverviewTable 116. Sentient Technologies ProductTable 117. Sentient Technologies Revenue in Machine Learning in Retail Business (2015-2020) (Million US$)Table 118. Sentient Technologies Recent DevelopmentTable 119. Salesforce Company DetailsTable 120. Salesforce Business OverviewTable 121. Salesforce ProductTable 122. Salesforce Revenue in Machine Learning in Retail Business (2015-2020) (Million US$)Table 123. Salesforce Recent DevelopmentTable 124. ViSenze Company DetailsTable 125. ViSenze Business OverviewTable 126. ViSenze ProductTable 127. ViSenze Revenue in Machine Learning in Retail Business (2015-2020) (Million US$)Table 128. ViSenze Recent DevelopmentTable 129. Research Programs/Design for This ReportTable 130. Key Data Information from Secondary SourcesTable 131. Key Data Information from Primary Sources

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Machine Learning in Retail Market forecast to 2026 interpreted by a new report - WhaTech Technology and Markets News

Bradley Manning Sentenced to 35 Years for Leaking Secrets …

Aug. 21, 2013 -- FT. MEADE, Md. -- Bradley Manning, the Army private convicted of leaking hundreds of thousands of classified documents to the website WikiLeaks, was sentenced to 35 years in a military prison today.

Pfc. Manning will also be reduced in rank to private, forfeit all pay and allowances and receive a dishonorable discharge. He will serve his prison sentence at the military's detention facility at Fort Leavenworth, Kan.

Manning, 25, expressed no emotion as a military judge announced the sentence. His defense attorney, David Coombs, later called Manning a "resilient young man" who comforted the weeping members of his defense team after the sentencing.

"You get this guy and he looks to me and he says, "It's OK. It's all right. Don't worry about it. I know you did your best. It's going to be OK. I'm going to be OK. I'm going to get through this,'" he said.

Bradley Manning Guilty on Most Charges, but Not Aiding Enemy

As is customary in the military justice system for prison sentences longer than 30 years, Manning will be eligible for his first parole review after serving 10 years of his sentence. But Coombs believes he could be eligible for parole after seven years because of the 1,294 days credited by the judge toward his sentence.

Manning has served 1,182 days during pre-trial confinement and was also credited with 112 days for the treatment he received at the Marine brig in Quantico, Va.

Coombs said he will ask the convening authority in the case to reduce the sentence. He also intends to submit a request to the secretary of the Army next week asking President Obama to pardon Manning or at least commute his sentence to the time he has already served.

"The time to end Brad's suffering is now," Coombs said at a news conference in Hanover, Md. "The time for the president to focus on protecting whistleblowers instead of punishing them is now. The time for the president to pardon PFC Manning is now."

Coombs read a statement from Manning that will be included in the request to the president.

"I understand that my actions violate the law. It was never my intent to hurt anyone. I only wanted to help people. When I chose to disclose classified information, I did so out of a love for my country and a sense of duty for others," Manning said in the statement.

Manning also said that if he is denied a pardon, "I will serve my time knowing that sometimes you have to pay a heavy price to live in a free society."

Manning, a former Army intelligence analyst, was convicted July 30.

He was found guilty of 20 of the 22 charges he faced, mostly for espionage, theft and fraud. But the judge found him not guilty of the most serious charge of aiding the enemy, which carries a life sentence.

The 20 charges originally carried the possibility of 136 years in prison, but judge Col. Denise Lind later granted a defense motion that reduced the potential maximum sentence to 90 years.

At the end of the sentencing phase of the trial, Army prosecutors said Manning should serve at least 60 years in prison. But Manning's defense attorney argued that he should not serve more than 25 years.

In his closing arguments during the two-week sentencing phase, Manning's defense attorney, David Coombs, continued to portray Manning as a nave young soldier who believed he could change the world.

Coombs said Manning had "pure intentions" in releasing the documents to WikiLeaks. "At that time, Pfc. Manning really, truly, genuinely believed that this information could make a difference."

But in court documents released earlier this week that explained her verdicts, Lind said Manning's conduct "was both wanton and reckless." She added that it "was of a heedless nature that made it actually and imminently dangerous to others."

Manning last week apologized for his actions in a short statement he read during the trial's sentencing phase. "I'm sorry that my actions hurt people," Manning said. "I'm sorry that they hurt the United States.

"When I made these decisions, I believed I was going to help people, not hurt people."

He said he was sorry for the "unintended consequences" of his actions and offered that with hindsight, "I should have worked more aggressively inside the system."

Although he acknowledged that "I must pay a price for my decisions and actions" he also expressed the hope to "return to a productive place in society."

Julian Assange, the founder of WikiLeaks, said Manning's apology was a "forced decision" aimed at reducing his potential jail sentence. In a statement, he said the apology had been "extorted from him under the overbearing weight of the United States military justice system."

The court-martial began three years after Manning was first detained in Iraq for suspicion of having leaked the video of a 2007 Apache helicopter attack that killed several Iraqi civilians. He was subsequently charged with the leak of 750,000 documents that were a mix of U.S. military battlefield reports from Iraq and Afghanistan and diplomatic cables.

The release of the documents has been described as the most extensive leak of classified information in U.S. history.

During the nearly two-month court martial, prosecutors presented detailed computer forensics of Manning's computer activity during his deployment to Iraq in late-2009 to mid-2010. They said the evidence showed that within weeks of his arrival in Baghdad, Manning had begun searching classified military computer networks for materials that were of interest to WikiLeaks.

In their unsuccessful bid to show that Manning had aided the enemy, they said some of the battlefield reports were found on computers belonging to Osama bin Laden. The computers had been seized during the U.S. military raid that killed the al Qaeda leader.

Manning's initial detention at the Marine brig at Quantico, Va., became the subject of controversy after jailers deemed him a suicide risk.

Now being held at the military prison at Fort Leavenworth, Kan., Manning was forced to remain in solitary confinement for up to 23 hours a day and on a few occasions he was required to remain naked. His attorneys said the treatment merited dismissing the case against him because it amounted to cruel-and-unlawful punishment.

After a lengthy pre-trial hearing late last year, judge Lind found there was validity to some of the allegations and reduced any potential prison sentence by 112 days.

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Bradley Manning Sentenced to 35 Years for Leaking Secrets ...

Bitcoin Aint What It Used To Be, Pioneer Investor Says – Cointelegraph

A millionaire by age 18, early Bitcoin (BTC) investor Erik Finman said the environment around Bitcoin has significantly changed since 2011 and not for the better.

It just aint what it used to be, Finman told Cointelegraph in a message on Jan. 26, 2020.

Recounting the early days, Finman explained:

Bitcoin, when it first came out, was incredible. It wasnt just cutting edge technology - it was bleeding edge! You just felt the energy in the air. That this was the real deal. Everyone felt united in this cause this mission. Those were some of the most beautiful moments of my life.

Finman made headlines over the past several years for his success as a young Bitcoiner. Finman invested $1,000 into BTC in 2011, turning him into a millionaire by the age of 18 due to Bitcoins dramatic price increases, Cointelegraph detailed in June 2017.

In late 2018, however, Finman expressed his thoughts on Bitcoins eventual demise based on several factors, including community infighting, etc.

The atmosphere seen in Bitcoins early days is now gone, Finman told Cointelegraph. Adding to his reminiscence of the assets beginnings, he noted:

[T]hose times of unity & cutting edge technology seem to be left in the past. I really care about Bitcoin - but the community cant seem to get it together in my opinion. Ive tried to get involved within the community to fix it - but it was very hostile. There is still wonderful people in the community and incredibly smart people working on the technology problem.

A popular opinion in the crypto space sees Bitcoin hitting a $100,000 price tag at some point. Finman sees no real chance for a $100,000 or $1 million Bitcoin if the community does not change, barring any drastic global disruptions, he explained.

Even if the world were to destabilize, Bitcoin isnt necessarily THE CRYPTOCURRENCY for people to put their money in, in a time like that, he said, noting Monero and Zcash as potentially better options.

Relating the situation to the death of a popular social media entity, Finman added, Bitcoin is the next MySpace if the community cant make drastic changes.

Finman has been in the Bitcoin game a considerable length of time, so his comments carry weight. Finman first invested in Bitcoin at the age of 12, so his views on the overall situation in 2011 may have differed from adults who bought it at the same time.

Several data points do, however, line up with Finmans comments on community disagreements, including the Bitcoin Cash (BCH) fork in 2017, and the birth of Bitcoin maximalism.

Cardano founder Charles Hoskinson has also expressed issues with Bitcoin. One of the biggest problems with Bitcoin, [...] is that its blind, deaf and dumb and that was by design, Hoskinson said in October 2019 in an interview on Anthony Pomplianos Off the Chain podcast.

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Bitcoin Aint What It Used To Be, Pioneer Investor Says - Cointelegraph

Bitcoin Eyes Best January Close in 7 Years After 30% Price Increase – Coindesk

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Bitcoin appears set to register its best January price gain in seven years and could soon rise into five figures.

The top cryptocurrency by market cap is currently trading at $9,350 a hefty 30 percent gain from the opening price of $7,160 observed on Jan. 1, according to CoinDesk's Bitcoin Price Index.

If the gain is held through Jan. 31, it would be the best starting month to a year since 2013. Back in January 2013, bitcoin had rallied by 54 percent.

From 2015 to 2019, bitcoin has posted losses in January. The cryptocurrency now looks certain to snap that losing streak. The 30 percent rally is the second-best January performance on record.

Bitcoin picked up a strong bid at lows near $6,850 in the first week of this month and rose past $8,000, exiting a six-month-long downtrend. Notably, the breakout happened as the U.S. and Iran came close to war, forcing the analyst community to take note of the cryptocurrency's strengthening safe-haven appeal.

Since then, we've seen a textbook bull move: a steady uptrend with regular low-volume pullbacks testing dip demand.

The price rise is in line with historical data showing the cryptocurrency hits a new market cycle top (the highest point from the preceding bear market low) in the calendar year of a miner reward halving, but before the event, as discussed earlier this month.

With history looking to repeat itself, a further rise to levels above the June 2019 $13,880 before the May 2020 halving (supply-cutting event) cannot be ruled out.

For now, the technical charts do indicate scope for a move above the psychological resistance of $10,000.

Weekly chart

The falling channel breakout confirmed in the first week of January validated a bullish crossover of the 50- and 100-week moving averages (MAs) and opened the doors for a test of resistance at $10,350 (October high).

Supporting the bullish case are the ascending five- and 10-week MAs.

Additionally, the MACD histogram has crossed above zero, confirming a bearish-to-bullish trend change, while the relative strength index is on an upward trajectory and is reporting bullish conditions with an above-50 reading.

Daily chart

Bitcoin printed a UTC close above $9,188 (Jan. 19 high) on Tuesday, establishing a fresh higher high and signaling a continuation of the rally from the Jan. 3 low of $6,850.

More importantly, the move saw bitcoin cross the 200-day moving average (MA) with a positive "marubozu candle," which comprises of little or no wicks and a strong body.

The candle indicates buyers remained in control during the 24-hour period and the cryptocurrency closed near the high point of the day. While bitcoin did see a minor pullback to $8.870 during the U.S. trading hours, the dip only ended up recharging the bulls for a strong move higher.

The positive marubozu candle indicates that bullish sentiment is strong more so, in this case, as it shows buyers stepped without any hesitation despite prices trading close to 200-day MA, which acted as stiff resistance on Jan. 19.

Some investors may point out that bitcoin's break above the 200-day MA in October turned out to be a bull trap. But back then the overall market sentiment was bearish, with the cryptocurrency trapped in a bearish channel on the weekly chart.

Overall, the broader trend is bullish, as noted. The stage now looks set for a quick move into five figures. Pullbacks cannot be ruled out, though, and the case for a quick rise to $10,000 would weaken if prices fall back below the 200-day MA at $8,894 on the back of a spike in trading volumes.

The weekly chart will continue to paint a bullish picture as long as prices are holding above $8,000.

Disclosure: The author does not currently hold any digital assets.

The leader in blockchain news, CoinDesk is a media outlet that strives for the highest journalistic standards and abides by a strict set of editorial policies. CoinDesk is an independent operating subsidiary of Digital Currency Group, which invests in cryptocurrencies and blockchain startups.

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Bitcoin Eyes Best January Close in 7 Years After 30% Price Increase - Coindesk

Developers Say Google Play Unfairly Booted Their Bitcoin Rewards Game – CoinDesk

Google recently suspended and removed bitcoin rewards game Bitcoin Blast from its Google Play app store for allegedly deceiving users, but it will not explain to the developers what exactly was deceptive about the game.

On Jan. 20, Google pulled Bling's Bitcoin Blast, a match-three puzzle game that rewards users with bitcoin-redeemable loyalty points. The Android version of the game had been live on the Play Store since May 2019, CEO Amy Wan told CoinDesk.

Within that time, she said, it amassed 800,000 users, 20,000 ratings and 13,000 written reviews, placing it at the top rank for bitcoin rewards searches.

We worked hard to try to get to where we were, Wan said of Bling's five-person developer team.

But shortly after Bling submitted a Bitcoin Blast update that featured new marketing taglines (Earn Free Bitcoin! Cash Out Free Bitcoin!), which Wan said better reflected the current app experience, Google axed it for deceptive practices.

A Google Play Store spokesperson did not respond to a request for comment by press time.

The Bling team is now unsure how to proceed with future updates; Wan said they still do not know what needs to change.

If we dont know what [Google] thinks is deceptive about the game, how can we possibly stop being deceptive? she said. We know the game inside and out, and Google is spending maybe a minute reviewing it.

Googles relationship with the cryptocurrency community has been tenuous for months. The search engine giant, owner and operator of YouTube, Chrome and Android OS has blacklisted crypto content with an often shoot-first mentality, only to then go back and rectify apparent mistakes.

A reporter played the iOS version of Bitcoin Blast for about 25 minutes on Jan. 28, earning slightly more than 1,000 loyalty points the minimum amount users can convert into bitcoin. Attempts to convert the points were successful; the reporters newly made Coinbase account received 103 sats on Jan 29.

But Bling, and the app, may now have to reset. Wan said Google would not let her team fix Bitcoin Blast without submitting an entirely new version under a fresh bundle ID deleting the games amassed history and user reviews. Google has already rejected the companys first appeal, Wan said.

Google further informed Bling, Additional suspensions of any nature may result in the termination of your developer account, and investigation and possible termination of related Google accounts, according to screenshots reviewed by CoinDesk.

If that were to happen, Wan said, it would effectively throttle Bling's entire tech infrastructure, including its iOS app hosted on Google Cloud.

For us, that was a very serious threat because our business runs on Google, she said.

After taking news of the suspension to Twitter, Wan said the Google Play developer Twitter account informed her it would grant the appeal and escalate her case. But she has not seen any meaningful changes in the Play developer console and is unsure what, if anything, will change.

I think it is a black box for all app developers, but I think in particular crypto apps are probably more sensitive, she said.

Wan said the unexplained suspension carries hallmarks of other recent Google actions against crypto programs, services and content. Late last year, YouTube deleted hundreds of crypto-related videos before reinstating most. Chrome also suspended the MetaMask wallet on suspicion it enabled crypto mining. That, too, has been reinstated.

Wan noted the Apple version of the game is still live.

I feel like [Google] is worse for crypto companies because the moment they see crypto or bitcoin, I think Google's red flags just go off, she said.

The leader in blockchain news, CoinDesk is a media outlet that strives for the highest journalistic standards and abides by a strict set of editorial policies. CoinDesk is an independent operating subsidiary of Digital Currency Group, which invests in cryptocurrencies and blockchain startups.

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Developers Say Google Play Unfairly Booted Their Bitcoin Rewards Game - CoinDesk

Still Too Early To Declare Longer-Term Bitcoin Trend Change – Forbes

Bitcoin's price has rallied, posting positive price structure, but it is still too soon to declare a ... [+] longer-term trend change, analyst John Bollinger explained. (Photo by INA FASSBENDER / AFP) (Photo by INA FASSBENDER/AFP via Getty Images)

[Ed note: Investing in cryptocoins or tokens is highly speculative and the market is largely unregulated. Anyone considering it should be prepared to lose their entire investment.]

January has yielded several bouts of upward price action for bitcoin as the asset looks back on an overall positive start to 2020. John Bollinger, financial analyst, trader, author and originator of the Bollinger Bands technical chart indicator, said he sees positive structure on bitcoins chart, but its too soon to declare a longer-term bullish trend reversal.

Im very constructive on bitcoins price right now, Bollinger told me in an interview on January 27, 2020 while bitcoins held near $8,800. Weve completed a meaningful bottom formation, he added referring to bitcoins price chart.

We broke out, pulled back from very short term, made a little test of the breakout level and rallied higher, Bollinger continued. Bitcoin then proceeded to fall back to the midline of the Bollinger Band indicator before bouncing and heading higher in price, he added.

After starting 2019 below the $4,000 mark, bitcoin experienced an exuberant price run between April and June 2019, taking the asset up past $13,800 per coin by Junes end, according to Coinbases BTC chart on TradingView.com Bitcoins price fell on difficult times in the latter half of 2019, however, posting successive lower rally attempts until the end of the year, signaling the presence of a downward bearish price trend.

In contrast, 2020 so far has yielded positive price action for cryptos pioneer asset. Bitcoin began the year around the $7,000 mark, posting a seeming bottom-like price formation, as Bollinger mentioned. The asset has since rallied in price from its chart bottom near $7,000.

Most recently, bitcoin rose from approximately $7,700 to almost $9,200 on January 19. The coin then fell down to $8,250 by January 24, finding support in that region before rallying to a press time price of $9,265.

Its a pretty constructive pattern, Bollinger said, adding to his initial comments. The expert noted bitcoin formed its price chart base pattern between November 2019 and early January 2020. So far were progressing pretty well, he said.

Bollinger pointed to a tweet he posted on January 23 which expressed that bitcoins pullback to the middle Bollinger Band near $8,300 made sense as a support level.

I pointed out on Twitter a couple days ago that what bitcoin needed to do was hold support here at the middle Bollinger Band, and thats exactly what its done, Bollinger told me.

It held support. Weve had two days of rally now and I think the price of bitcoin looks higher.

Bitcoins recent rally begs the question has cryptos top asset broken its downtrend that began last summer? I think its a little bit early to be convinced of that, Bollinger said.

We just made an intermediate term bottom and just started up we need some more evidence here in terms of a bigger picture, but I think the outlook is pretty constructive right now.

Crypto trader and Brave New Coin analyst Josh Olszewicz (CarpeNoctom onTwitter) expressed similar sentiment on January 28. Well know how bullish we are in two weeks, Olszewicz told me in a Telegram message. Mentioning multiple charting signals, including the Ichimoku Cloud and a moving average golden cross, the trader added, All trend metrics point bullish soon.

Additionally, Olszewicz said his statement applies to the entire crypto market. This is across the board on everything, not just BTC, he noted.

Despite bitcoins exuberant history and optimistic charts, some folks still remain bearish on the asset as a whole, including Berkshire Hathaway CEO Warren Buffett, who called bitcoin a gambling device in 2019, according to a CNBC report.

Disclaimer: I actively trade cryptocurrencies, as well as hold a small amount of BTC, ETH, LTC, XMR, NEO, ZEC, BEAM, BCH, DASH, LINK, XTZ andvarious insignificant other altcoin positions.

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Still Too Early To Declare Longer-Term Bitcoin Trend Change - Forbes

Bitcoin Hits $9,400 In Vertical Rally, But Its At Risk of A Violent Pullback For This Key Reason – newsBTC

Bitcoin extended its rally above the $9,200 resistance against the US Dollar. BTC tagged the $9,400 area and now it could correct lower towards $8,800 or $8,500.

Yesterday, we saw a strong rise in bitcoin above the $9,000 resistance. We even discussed the chances of more upsides towards $9,500, considering a successful close above the $9,000 level and the 100 hourly simple moving average.

BTC price did continue higher above the $9,200 resistance and a connecting bearish trend line on the hourly chart. Finally, the price tested the $9,400 area. A new 2020 high is formed near $9,426 and the price is currently consolidating gains.

It is testing the 23.6% Fib retracement level of the recent rally from the $8,874 low to $9,426 high. On the upside, an initial resistance is near the $9,400 level.

However, the main resistance is near the $9,500 level, where bitcoin bulls need to be very careful. If there is a strong rejection near $9,500, the price could start a substantial downside correction. The first key support on the downside is near the $9,150 level.

Besides, the 50% Fib retracement level of the recent rally from the $8,874 low to $9,426 high is near $9,150. More importantly, yesterdays major bullish trend line is still active with support near $9,040 on the hourly chart of the BTC/USD pair.

Bitcoin Price

Therefore, a downside break below $9,000 might lead bitcoin price towards the $8,800 support area or the 100 hourly simple moving average.

We cannot discard the fact that BTC bears might fail to protect $9,500. In the mentioned case, the price is likely to surge towards the $10,000 handle.

Any further upsides could open the doors for a larger upward move towards the $11,200, $11,500 and $12,000 levels in the coming days.

Technical indicators:

Hourly MACD The MACD is slowly losing momentum in the bullish zone.

Hourly RSI (Relative Strength Index) The RSI for BTC/USD is currently correcting from the 75 level.

Major Support Levels $9,150 followed by $9,000.

Major Resistance Levels $9,400, $9,425 and $9,500.

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Bitcoin Hits $9,400 In Vertical Rally, But Its At Risk of A Violent Pullback For This Key Reason - newsBTC

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Bitcoin Rallies to Near $9150 as Stocks Drop Over Coronavirus Fears – Coindesk

Bitcoin is maintaining its upward trajectory as coronavirus-led risk aversion hits the traditional markets.

Thetop cryptocurrency by market value crossed the 200-day moving average at $9,000during Tuesday's Asian trading hours and rose to a high of $9,150, pushing thecumulative month-to-date gains to over 25 percent.

At press time, bitcoin is changing hands at $9,061. Despite the minor pullback from the morning's high, the cryptocurrency is still reporting a 4.8 percent gain on a 24-hour basis, and is up roughly $700 from lows near $8,250 observed over the weekend, according to CoinDesk's Bitcoin Price Index.

While bitcoin has kicked off the week on a positive note, stock markets across the globe are facing selling pressure.

Notably, the Dow Jones Industrial Average fell by more than 450 points on Monday with travel-related shares suffering sharp losses on fears the coronavirus outbreak in China could spread globally, hurting worldwide economic growth.

The virus, which first appeared in the Chinese city of Wuhan, is spreading fast. It has so far claimed more than 100 lives in China and the number of confirmed cases increased to 4,515 on Tuesday from 2,835 on Monday, according to the National Health Commission.

With bitcoin outperforming stocks amid the coronavirus scare, a few experts are convinced the cryptocurrency is drawing haven bids more so, as classic safe-haven asset gold has risen by just 0.65 percent so far this week.

The safe-haven argument, however, is not strong, according to prominent analysts like Alex Kruger. "Keep in mind that until Friday the narrative was 'Coronavirus pushing bitcoin lower'. It now is 'Coronavirus pushing bitcoin higher.' Some people try very hard to create narratives," he tweeted Tuesday.

Moreover, bitcoin picked up a strong bid below $7,000 at least two weeks before Chinese authorities placed Wuhan under quarantine on Jan. 23, sending equity markets into a tailspin, and has extended the rally over the last two days.

In fact, the virus outbreak could ultimately have a negative impact on crypto markets, Jason Wu, CEO and founder of non-custodial crypto lender DeFiner, told CoinDesk earlier this week.

Many Chinese crypto retailers tend to cash in on cryptocurrencies right before the Chinese New Year holiday and reinvest in the market in the next year, Wu said. With the virus outbreak, that money may not return to crypto markets, possibly leading to a price drop.

From a technical perspective, bitcoin is looking heavy and could suffer a minor pullback in the next 24 hours.

Hourly chart

The relative strength index charted a bearish divergence (lower highs) earlier on Tuesday, signaling bullish exhaustion, and dived out of an ascending trendline to indicate an end to the rally from lows near $8,250.

The MACD histogram is printing deeper bars below the zero line, indicating a strengthening of downside momentum.

4-hour chart

The current four-hour candle is flashing red, validating the buyer exhaustion signaled by the preceding inside bar candle, which occurs when the specific period's price action falls within the preceding period's trading range.

The RSI has also rolled over from the overbought (above-70) region, signaling scope for correction.

Both the hourly and four-hour charts are indicating the cryptocurrency could revisit the former resistance-turned-support at $8,793-$8,750 (horizontal lines on the four-hour chart).

A violation there would expose the next support at $8,530. If that level holds, bulls might breathe a sigh of relief and another attempt higher could be initiated targeting resistance at $9,000.

The odds of a pullback to $8,750 would weaken if the cryptocurrency finds acceptance above $9,150 during the U.S. trading hours. In that case, the recent high of $9,188 will likely be scaled.

It's worth noting that longer duration charts are aligned in favor of the bulls. So, pullbacks, if any, could be short-lived.

Disclosure:The author holds no digital assetsat the time of writing.

The leader in blockchain news, CoinDesk is a media outlet that strives for the highest journalistic standards and abides by a strict set of editorial policies. CoinDesk is an independent operating subsidiary of Digital Currency Group, which invests in cryptocurrencies and blockchain startups.

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