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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 Shakes Off Dollar Rebound But Beware Of Coming Bear Phase

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Bitcoin has barely flinched in the face of the dollar’s best attempt at a rebound in over a year. The greenback is trying to stage a comeback against the top cryptocurrency, which has left the global reserve currency battered and beaten.

Although Bitcoin has fended off the advance in USD, if history repeats and the dollar surges, a short term » Read more

” href=”https://www.newsbtc.com/dictionary/bear/” data-wpel-link=”internal”>bear phase could be coming to the crypto market soon.

The Badly Beaten Dollar Begins Breakout And Bounce

2021 thus far has been Bitcoin’s best year on record. 2020 was among the dollar’s worst as sentiment turned negative and inflation fears pushed investors toward hard assets like gold and crypto.

However, according to the DXY Dollar Currency Index, which weighs the dollar against a bucket of other national forex currencies, a comeback is in the making.

dollar dxy bitcoin

The dollar is breaking out from a falling wedge. Will crypto respond? | Source: DXY on TradingView.com

The chart above shows the DXY breaking out from a falling wedge pattern, and coming back down to retest the former resistance line as support. With the retest complete, a stronger push higher should result.

Related Reading | Dollar, Divergences, & More: Here’s Why Bitcoin Could Soon Bounce

Thus far Bitcoin has remained largely unaffected by the dollar’s advance, despite one half of the cryptocurrency’s main trading pair featuring the fiat currency.

dollar dxy macd

A bullish MACD crossover will confirm the breakout as it has in the past | Source: DXY on TradingView.com

Coinciding with the breakout of the falling wedge, on higher timeframes, the MACD – a momentum indicator – is starting to turn upward. Past instances of the same pattern breaking upward combined with a bullish crossover on the MACD has led to sustained upside in the DXY.

How A Reversal In The Greenback Could Send Bitcoin Into A » Read more

” href=”https://www.newsbtc.com/dictionary/bear/” data-wpel-link=”internal”>Bear Market

Although the leading cryptocurrency by market cap has shaken off the greenback’s rebound thus far, a » Read more

” href=”https://www.newsbtc.com/dictionary/bear/” data-wpel-link=”internal”>bear phase could soon be coming that sets back the current uptrend for some time.

Each time the MACD crossed bullish on the DXY, it led to an extended » Read more

” href=”https://www.newsbtc.com/dictionary/bear/” data-wpel-link=”internal”>bear market in Bitcoin, as pictured below.

dxy bitcoin

Each bullish crossover in the dollar led to a crypto » Read more

" href="https://www.newsbtc.com/dictionary/bear/" data-wpel-link="internal">bear market | Source: DXY on TradingView.com

Bitcoin has been an uptrend for nearly a full year – since Black Thursday in 2020 – but time could be running out. The MACD hasn’t fully crossed over just yet, but has begun to turn upward.

Related Reading | This Unique Take On Bitcoin Suggests A Bear Phase Is Near

However, not all is lost for Bitcoin and the rest of the crypto market. An inverse head and shoulders on high timeframes might have completed on the DXY, which after a throwback to the trendline to confirm it as resistance, could result in the largest collapse in the dollar’s history, and its eventual undoing.

dxy head and shoulders

Upside in the dollar could ultimately be limited, benefiting Bitcoin | Source: DXY on TradingView.com

Such a scenario would suggest a bear phase in Bitcoin will arrive sooner than later, but that it will be much shorter-lived than previous » Read more

” href=”https://www.newsbtc.com/dictionary/bear/” data-wpel-link=”internal”>bear markets, and once it ends, the leading cryptocurrency by market cap could completely take over as the global reserve currency.

Of course, there’s no telling what the dollar could do from here, or if this time is actually different.

Featured image from Deposit Photos, Charts from TradingView.com

Source: https://www.newsbtc.com/analysis/btc/bitcoin-dollar-rebound-bear-phase/

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Mainnet launch and NFT sale lift Aavegotchi (GHST) to a new all-time high

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Nonfungible tokens (NFTs) have rapidly become the new hot topic in the cryptocurrency sector, as evidenced by Litecoin (LTC) creator Charlie Lee comparing the current spike in NFT interest to the ICO mania of 2017

The recent pullback in the cryptocurrency market hit decentralized finance tokens (DeFi) pretty hard, but as Bitcoin’s (BTC) price recovered the $50,000, DeFi and NFT tokens bounced back rapidly. 

One project that has successfully capitalized on the DeFi and NFT boom is Aavegotchi. The project benefits from its association with Aave, while also focusing on the creation of value-infused NFTs that are limited in minting.

Data from Cointelegraph Markets and TradingView shows that the price of GHST, Aavegotchi’s governance token, rose 35% from $1.36 on March 1 to a new all-time high of $1.86 on March 2 as the community conducted its first NFT sale.

GHST/USDT 4-hour chart. Source: TradingView

Three reasons for the GHST breakout to a new all-time high include its recent migration to the Polygon network, the successful completion of its first NFT sale and excitement about the upcoming mainnet launch.

Users bridge to Polygon for lower fees

Transaction fees on the Ethereum network have been increasing since the beginning of 2021, and they show no signs of decreasing anytime soon.

In response to this, the team at Aavegotchi announced on Jan. 26 that the project would bridge to the Polygon network, an Ethereum layer-two solution Following the migration, users are able to conduct transactions, buy items in the store and stake their GHST tokens for the cost of .0001 MATIC, a significant price reduction from the current costs of transacting on Ethereum.

GHST price rose from $0.61 on Jan. 27, when the Polygon bridge was first released, to $1.25 on Feb. 14 as users began to be more active in the community due to lower transaction costs.

Optimism grows as the mainnet launch approaches

One of the biggest drivers of GHST was its official mainnet launch on March 2.

While most NFT projects are content to utilize Web 2.0 servers or the InterPlanetary File System, Aavegotchi has taken its project to the next level by creating its own blockchain. Doing this enables each GHST token to have its unique personality traits, staked cryptocurrencies and visual elements stored permanently on the blockchain, which may help to strengthen their collectability and long-term value.

This also creates the unique opportunity where DeFi can be combined with NFTs by locking one of Aave’s wide selection of interest-generating tokens directly into a particular Aavegotchi, making each one a rare, unique form of a digital piggy bank.

NFTs sell out in under a minute

As Aavegotchi launched its mainnet, the project also conducted its first “portal drop,” which allowed tokenholders to buy a portal that is capable of summoning a yield-bearing Aavegotchi NFT.

Each portal was on sale for 100 GHST, and the demand was so high that the 10,000 portals sold out in less than a minute.

Through an integration with Aave and its aTokens, NFTs on the Aavegotchi platform create unique interest-bearing representations of funds supplied to the Aave protocol, a first for the NFT space.

Aavegotchis are designed to combine elements of gaming and collecting in an effort to tie digital collectibles to real value. This adds a new level of functionality to NFTs and is likely to help each Aavegotchi increase in value over time. In order to extract the value of aTokens locked within an NFT, the Aavegotchi must be destroyed in the process.

Future portal drops, low transaction fees and an expanding NFT store demonstrate that there is a healthy demand for GHST, and this is bound to grow as the platform expands to offer new layers of gamification.

Source: https://cointelegraph.com/news/mainnet-launch-and-nft-sale-lift-aavegotchi-ghst-to-a-new-all-time-high

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Bitcoin has brought new thinking to payments and financial inclusion: SEC chair nominee

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When it comes to Bitcoin, market opinions are often divided, with those who support the asset and those who don’t. Similar camps may now appear to take hold of US regulators and policymakers. Recently, President Biden’s nominee for chairman of United States Securities and Exchange Commission (SEC), Gary Gensler appeared to share his perspective on the crypto sector. Gensler said that cryptocurrencies “have been a catalyst for change.” 

Speaking to US Senator Mike Rounds during his Senate confirmation, Gensler added

Bitcoin and other cryptocurrencies have brought new thinking to payments and financial inclusion, but they’ve also raised new issues of investor protection that we still need to attend to.

His opinion on crypto is in stark contrast to Treasury secretary, Janet Yellen’s, who believed that Bitcoin is “extremely inefficient for conducting transactions” and that it is a “highly speculative asset.” It goes against Senator Elizabeth Warren’s views, who thinks Bitcoin would only “end badly.” 

However, if Gensler is confirmed, a move that many crypto enthusiasts are looking forward to, the nominee plans to work to “promote the new innovation.” 

I think, as I teach at MIT on these subjects, that these innovations have been a catalyst for change. Bitcoin and cryptocurrencies have brought new thinking to payments and financial inclusion but they’ve also raised new issues of investor protection…If confirmed at the SEC, I will work to promote innovation.

He quickly stressed on the importance of investor protection and said:

It’s always important to update our market oversight to new technologies…It’s important to stay true to our principles of investor protection.   

Furthermore, in his opening remarks, Gensler said that markets—and technology— “are always changing” and must not be taken for granted.

Our rules have to change along with them. I believe financial technology can be a powerful force for good but only if we continue to harness the core values of the SEC in service of investors, issuers, and the public.

Gensler is most famously known for testifying before Congress for crypto and blockchain several times in the past. He even argued against the notion that crypto was similar to Ponzi schemes.


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Source: https://ambcrypto.com/bitcoin-has-brought-new-thinking-to-payments-and-financial-inclusion-sec-chair-nominee

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