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.
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
All Eyes on Ethereum
One Ether now costs more than US$3000. Did you ever think you’d see the day?
You gotta hand it to the crypto markets: in some ways they’re comically predictable. A month ago, Ethereum was everyone’s favourite whipping boy, a bloated, expensive under-achiever that couldn’t even double its 2017 all-time high. Lol what a weakling.
And with competitors like Cosmos, Solana, Polygon and Polkadot nipping at its heels, perhaps this was the beginning of the end for the network that gave us smart contracts, ICOs, ERC-20 tokens, DeFi, yield farming, NFTs and, to be honest, the entire idea that blockchain was a multi-functional and era-shaping technological breakthrough that you ignored at your peril.
How things have changed. On Monday Ethereum blasted through the US$3000 mark like it was barely there, throwing on an extra 15% while it was at it. The network is now worth a shade under US$400 billion, putting it on par with Mastercard and Walmart, and officially making Vitalik Buterin, the 27-year-old prodigy who created Ethereum, a bona fide billionaire. So, is this how the Flippening begins?
Network to net worth
Due to the speed with which things move in crypto, we tend to underestimate some of the metrics that actually speak to a technology’s success. The new shiny thing is almost always more exciting than some dusty old contraption built in the positively prehistoric year of 2015. Did they even have electricity back then?
But Ethereum stands out from almost all other blockchains in that it’s already being used, at scale, by millions of people and companies. While that may seem like Business 101 – get more customers, be more successful – when it comes to blockchain usage is a particularly powerful factor because of the way it harnesses network effects to improve the value of the system itself. Use it more and the whole system becomes more valuable, both financially and practically, for the network’s users, miners, stakers, investors and developers. Oh, and Vitalik, of course.
How far we’ve come
Ethereum’s issue has always been its inability to scale. If you can’t handle hundreds or even thousands of transactions a second, then you’re not really fit for purpose as a global computer. The result for Ethereum has been a year of increasing network congestion and brutally high transaction fees. Yet the fact that so much continues to be built and transacted on Ethereum tells you exactly how strong these network effects already are.
There’s also an increasing focus on three major changes to the Ethereum network due to arrive before the end of the year:
- EIP-1559: Lifts one of DeFi’s major innovations in the field of ‘tokenomics’ by implementing a token burn system on every transaction. You use the Ethereum network, you burn some ETH, never to be seen again.
- Optimism: due for a full launch in July, the Optimism sidechain should significantly improve the speed of Ethereum by leveraging largely incomprehensible processes such as ZK-Rollups and Sharding. It’s already being used by the Synthetix protocol, where it has saved users over $10 million dollars in transaction fees.
- Ethereum 2.0: This is the big one, Ethereum’s transition from Proof-of-Work to Proof-of-Stake. It’s been coming for years, but the importance of the change cannot be overstated. Already more than 4 million Ethereum are being staked on the Ethereum 2.0 contract, offering an insight into how much ETH might fall out of circulation once the entire thing goes live (potentially in November).
In short, Ethereum is just getting started. The price might seem gaspingly high right now, but remember that Ethereum isn’t trying to be Walmart or Mastercard. It wants to be the thing that Walmart and Mastercard are built on – and that’s a prospect worth having a stake in.
CARBON: A perfect avenue for showcasing talent
Creative professionals sometimes find themselves figuring out where to showcase their creations and profit from them.
It’s a tough situation to be in. But with CARBON, the dilemma is lessened.
CARBON creates an avenue that gives creators both a place to show off their talents and a chance to earn money.
CARBON features an ecosystem of a global scale that integrates open finance, fashion, art, music, and non-fungible tokens (NFTs).
One of its objectives is to enable a community that can inspire, support, and reward professionals.
What the CARBON marketplace looks like
As what an ideal marketplace should be, CARBON has a lot to offer, helping emerging brands and artists have a shot even at the highest levels of competition they have to deal with.
Items related to fashion, art pieces, music, and digital assets such as NFTs are offered in the CARBON marketplace. A dedicated team will carefully select these products.
The market will also see exclusive collaborations featuring various artists and brands for physical commodities and digital items that will be dropped on a weekly basis.
As for its audience, they should prepare for a diverse experience brought by a market evolving into a global ecosystem.
CARBON was founded by Chad Pickard who also acts as its Chief Executive Officer (CEO). It is an open finance wallet and super ecosystem that is built for the whole world of fashion, art, music, and culture while also integrating digital assets through NFT offerings.
It has its native token, the $GEMS, and its wallet integrates Neobank functions like the financial technology company Revolut and a non-custodial smart wallet for decentralized finance (DeFi) and cryptocurrencies.
This integration allows users to hold fiat (government-backed) and digital currencies as well as NFTs in a single platform.
The wallet is linked to the market, giving users the ability to directly select items that they desire.
CARBON doesn’t just work as a marketplace where purchases can be made, but also as an avenue where professional creators get to showcase their talents and inspire others to promote their own. It provides them with a winning environment.
How Tokenplace can help crypto traders get the best buy and sell prices
Any seasoned crypto trader knows that the price of a digital currency can vary across different exchanges worldwide.
Thus, one of the basic strategies for investing in digital currencies is to scout for the best buy or sell price and that’s where Tokenplace comes in.
Access to different crypto exchanges via one platform
To take full advantage of the price variance across exchanges, some traders often resort to opening accounts on different platforms. But Tokenplace eliminates this need because the platform allows one to access different exchanges worldwide.
This means that a user will only need his Tokenplace account and password to gain access to the entire crypto market. This is a lot simpler compared to having to main multiple accounts and passwords for other exchanges for different trading pairs.
Tokenplace is basically an online trading platform and exchange aggregator. With its automated order-splitting, orders are automatically broken up to ensure that traders get the best price for every coin they want to trade.
Easy to use and features-packed trading terminal
Tokenplace is also very appealing to newer investors because it is very easy to use. For instance, users will only need to access a single window for their deposits, withdrawals, trading, and exchanging.
The platform can be accessed from both desktop and mobile devices. Tokenplace’s onboarding and one-time registration process are also one of the quickest in the industry.
Tokenplace uses advanced algorithms for its multi-exchange order splitting feature. With this high-tech tool, users can get the best buy and sell price every time they trade.
IMPORTANT NOTE: This is a paid press release, which BitcoinerX has posted as part of a commercial agreement. BitcoinerX is not responsible for producing this content and does not endorse the products or services mentioned. It is the responsibility of the company posting the press release to ensure the material is credible and accurate. BitcoinerX is not responsible for any damage or loss caused to anyone who chooses to use the company, product or services mentioned in the press release. BitcoinerX does not recommend using the information in the press release to form the sole basis of investment decisions.
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