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Machine Learning that Learns More Like Humans, an AI Lip-Reading ‘Machine’, and More – This Week in Artificial Intelligence 11-11-16

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Machine Learning that Learns More Like Humans, an AI Lip-Reading 'Machine', and More - This Week in Artificial Intelligence 11-11-16

1 – Artificial-Intelligence System Surfs Web to Improve Its Performance

Information extraction involves classifying data items that are stored in plain text, and is a major area of research for machine learning scientists. Last week, a research team from MIT introduced a new approach to information extraction for machine learning systems at the Association for Computational Linguistics’ Conference on Empirical Methods on Natural Language Processing, and won a best-paper award. Instead of feeding their system as much data as possible, the team’s winning approach takes a different route and focuses on a much smaller data set, a similar process used by human beings – if you’re reading a paper that you don’t understand, you’re likely to do a search on the web and find articles that you are able to understand. This new system approach does something similar; if the system’s confidence score is low in assessing a particular text, it will query for more information, pulling up a handful of new articles from the web that correlate with a specific set of terms. In future, this model could be applied to sparse data and save much time in reviewing databases.

(Read the full article at MIT News)

2 – RiskIQ Gets $30.5M to Apply Machine Learning to Security Risks

San Francisco-based digital risk management startup RiskIQ announced that it’s raised another $30.5 million Series C in a deal led by Georgian Partners, and including Summit Ventures, MassMutual Ventures, and Battery Ventures, putting its total funds raised at $65.5 million since 2009. RiskIQ AI-based services help large companies search and find sites and apps that may bear the company’s name but are run by criminals attempting to steal consumers’ information or spread malware. The company’s total bookings grew 80 percent in the first part of 2016, with a current total of 200 enterprise customers and 13,000 security analysts that includes Facebook, Under Armour, and others. Georgian Partners principal Steve Leightell will also join RiskIQ’s board of directors

(Read the full article at Silicon Valley Business Journal)

3 – First Carnegie Colloquium Focuses On Artificial Intelligence In Military, Data Privacy

Carnegie Mellon held the first of a two-part colloquium, which addressed considerations around AI on data privacy and military operations, for global policy experts at Carnegie Endowment for International Peace (CEIP) headquarters in Washington D.C. The second part  will address internet governance and cyber deterrence, on December 2 at CMU’s Cohon University Center in Pittsburgh. CyLab Director David Brumley, who opened a second panel discussion for autonomous technology, said:

“Countries around the world, including the U.S., Russia, Israel, China and India, are increasingly deploying and investing in artificial intelligence and autonomy technology in their operations. Autonomy is going to be huge, and it’s absolutely critical we get it right.”

Jim Garrett, dean of CMU’s College of Engineering, emphasized that such forums are of vital importance for exchanging ideas and cultivating acceptance for a wide variety of of views on issues that have the potential to profoundly impact the global community.

(Read the full press release at Carnegie Mellon News)

4 – Oxford Researchers Develop Computer Program that Can Read Lips with Superhuman Accuracy

Researchers at Oxford have pioneered a lip-reading AI program that can read lips with 93.4 percent accuracy – far surpassing the average 52.3 percent accuracy for hearing-impaired students. Named “LipNet”, the software was built in collaboration with Google’s DeepMind, which trained it on 30,000 videos of test subjects. The system processed sentences (as opposed to individual words) and was able to place words in context. Though not yet ready for the diversity of languages, accents, and broken speech of the real world, the program has the potential to both help society – improve hearing aids, allow for conversation in noisy places, etc. – as well as harm – allow for individuals or groups to pick up on private conversations or conduct illegal mass surveillance.

(Read the full article at the Telegraph and published paper at Oxford University)

5 – Machine-Learning Algorithm Quantifies Gender Bias in Astronomy

A paper by researchers from the Swiss Institute of Technology in Zurich and released on the arXiv server used machine learning to estimate gender bias in citations of academic papers in astronomy. Though not yet peer-reviewed, experts in the field have commented on what appears to be a valid methodology. Cassidy Sugimoto, an informaticist at Indiana University Bloomington, stated:

“The novelty of this paper is in dispelling the myth that gender disparity in citation can be attributed to specifics of the paper, rather than to gender.”

The algorithm was trained on 200,000 papers in 5 journals from 1950 to 2015. Results showed that papers with female authors listed first received around 6 percent fewer citations than those with a primary male author; the algorithm also predicted that those papers with female authors should have received 4 percent more citations than those authored by the males. In academics, less citations usually means fewer grants, recommendation letters, and other recognitions, says Meg Urry, director of Yale Center for Astronomy and Astrophysics. The paper also notes, however, that women publish 19 percent fewer articles than men in the 7 years after their first published paper, a critical time for contributing to academia. This may also play a factor in women securing more permanent positions.

(Read the full article at Scientific American)

Image credit: Tek-Think

Source: https://emerj.com/machine-learning-that-learns-more-like-humans-an-ai-lip-reading-machine-and-more-this-week-in-artificial-intelligence-11-11-16/

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Bitcoin Futures ETF is so popular that it’s breaching futures limits set by TradFi

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Deposit and Earn Up to $3000 Bonus

The first US Bitcoin (BTC) exchange-traded fund is rapidly getting close to breaching a limit on the number of futures contracts it is permitted to hold, Bloomberg reported.

Just days after launch, the ProShares Bitcoin Strategy ETF (BITO) already owns nearly 1,900 contracts for October, and Chicago Mercantile Exchange (CME) limits the number of front-month contracts to 2,000.

Record trading volume

After two days of trading, the fund already had more than $1 billion under management, read the report.

The Bitcoin Futures ETF amassed 1,400 November contracts in order to avoid breaching the limit, but judging by the unprecedented early volume, BITO could soon hit the maximum total position of 5,000 contracts.

The launch of competing products, such as Valkyrie’s and VanEck’s Bitcoin Strategy ETFs, could ease the demand for BITO.

One solution to avoid hitting the limit would entail BITO to spread out its holdings into longer-dated contracts, but that poses a risk of further distancing the fund from the performance of Bitcoin.

“The end result is the ETF will start taking on potentially significant tracking error versus the spot price of Bitcoin,” president of advisory firm The ETF Store, Nate Geraci, told Bloomberg.

“The ETF is forced to obtain Bitcoin price exposure at higher and higher prices as it goes further out on the futures curve,” he explained.

Spot-based Bitcoin ETFs to the rescue

“The unprecedented early volume in BITO makes it like a snowball rolling downhill, as liquidity and assets beget more liquidity and assets,” according to Eric Balchunas, senior ETF analyst at Bloomberg Intelligence, who commented for the report.

“The new ones will have some selling points such as only holding the front month or being cheaper and that will help, but it is nearly impossible to steal volume in the short or medium-term,” he added, arguing that the momentum behind the ProShares fund will be hard to stop.

According to Balchunas, BITO’s success and “the clear issue of the potential capacity of futures“ may prompt the SEC to speed up the approval of Bitcoin spot ETFs.

“That certainly would do the trick in slowing down BITO and providing a release valve for futures demand,” he added for the report.

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Source: https://cryptoslate.com/bitcoin-futures-etf-is-so-popular-that-its-breaching-futures-limits-set-by-tradfi/

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Pokémon GO November Planned Events

Here’s a breakdown of the planned November 2021 events for Pokémon GO.

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Pokémon

Here's a breakdown of the planned November 2021 events for Pokémon GO.

Here’s a breakdown of the planned November 2021 events for Pokémon GO. / Photo courtesy of Niantic

In addition to Research Breakthrough encounters, Mega and 5-Star Raids, and Spotlight Hours, November appears to be another promising month for Pokémon GO with four planned events on the way.

Here’s a breakdown of the planned November 2021 events for Pokémon GO.

Niantic published the full list in its official news blog post detailing all the upcoming events of November 2021. More details for these events are said to be coming soon, but here’s what we know about the roadmap so far.

From ​​Friday, Nov. 5, to Sunday, Nov. 14, Niantic will be inviting trainers to celebrate light overcoming darkness with an all-new event called the Festival of Lights.

Similar to last year’s first-ever Day of the Dead special event for trainers in Latin America, Pokémon GO will be hosting a Día de Muertos special event for trainers around the world from Monday, Nov. 1, to Tuesday, Nov. 2.

Pokémon GO will also be having a Brilliant Diamond and Shining Pearl Celebration Event to commemorate the launch of the upcoming titles from Tuesday, Nov. 16, to Sunday, Nov. 21.

Lastly, the Season of Mischief will reportedly close out with an “epic” event that has yet to be revealed. From Friday, Nov. 26, to Monday, Nov. 29, trainers who completed the Misunderstood Mischief Special Research story will be able to unlock a Special Research story where they will have an opportunity to “learn more” about Hoopa.

For more on Pokémon GO, feel free to check out our coverage of the November Community Day reveal, and the October Limited Research.

Source: https://www.dbltap.com/posts/pokemon-go-november-planned-events-01fjq8c3zf4d?utm_source=RSS

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40% of The Young Americans Feel Confident Investing in Cryptocurrencies: Bakkt Survey

According to the research, younger Americans know and invest significantly more in the digital asset market than the older age groups.

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The cryptocurrency trading platform – Bakkt – polled more than 2,000 American citizens to explore why crypto investors entered the digital asset industry and what are the biggest obstacles in front of them. It also revealed which age groups feel the most confident in regards to such investments.

Crypto Is Not a Bite for The Elderly

Somewhat expectedly, young participants, more specifically those under 29 years old, were the ones who have invested the most in bitcoin and the altcoins showed the paper. They also seemed the most confident and knowledgeable. In contrast, People above 60 displayed almost no desire to deal with the asset class at all.

Breaking the results between the genders, it becomes clear that men are more active and better educated than women. For example, 46% of the female participants thought the only way to invest in bitcoin is to pay the full price of the coin (nearly $65,000 at the moment of writing), while this percentage is 37% among the males.

It is also worth mentioning what the crypto owners intend to do with their holdings. 58% answered they want to keep them for the long-term, or said in other words – they are HODLers. 43% stood on the opposite corner by planning to sell when they can make a short-term profit.

By the looks of it, most investors are just dipping their toes in the crypto universe as only 5% have allocated more than $1,000 in the market, while 28% have bought tokens for $200 or less.


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In addition, the participants who do not have any exposure to bitcoin or the altcoins gave their reasons for having such a stance. “Too much volatility” ranked as the most significant challenge with 32%, while “I don’t know where to invest” was second with 24%. However, 32% of the non-investors admitted they are willing to jump on the crypto bandwagon in the next six months.

The USA – The Most Crypto-Ready Country

According to another research, the world’s largest economy is the most prepared nation for digital asset adoption.

The survey combined several statistics such as annual crypto Google searches per 100,000 people, crypto queries yearly increase, and the number of ATMs to place the USA in the first position with an index of 7.13 (out of 10). Cyprus ranked second with 6.47, while the rest of the top 5 countries were Singapore (6.30), Hong Kong (6.27), and the United Kingdom (6.06).

Speaking of numbers of crypto ATMs, the USA, with its 17,436 machines, leads with a sizeable difference. The second position belonged to its northern neighbor – Canada – which has only 1.400 ATMs.

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Source: https://cryptopotato.com/40-of-the-young-americans-feel-confident-investing-in-cryptocurrencies-bakkt-survey/

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