A navigation system powered by machine learning is training robots to recognise objects – The Hindu

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Carnegie Mellon University (CMU) and Facebook AI Research (FAIR) have developed a semantic navigation system SemExp, to train robots to recognise objects, using machine learning.

Through SemExp, a robot is trained to differentiate between a kitchen table and an end table, while it is also able to understand where these objects are likely to be found. The process allows the navigation system to think strategically about how to search for something, said Devendra S. Chaplot, a Ph.D. student in CMU's Machine Learning Department, in a release.

Classical robotic navigation systems, explore a space by building a map showing obstacles. The robot eventually gets to where it needs to go, but the route can be circuitous. The system uses its semantic insights to determine the best places to look for a specific object, Chaplot added.

By making the system modular, the overall efficiency has gone up. The robots can now focus on learning the relationships between objects and room layouts. It also enables the robot to navigate its way from point A to point B, in the quickest possible manner.

Going forward a navigation technology like this could improve the interactions between people and robots. While a robot could bring an item in a particular place or it could find its way when directed, said a CMU release.

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A navigation system powered by machine learning is training robots to recognise objects - The Hindu

IDTechEx Report Suggests Machine Learning will be Accessible across Chemical and Materials Companies in the Future – CIO Applications

Material Informatics (MI) is a data-centric approach applicable to specific material science and chemistry R&D. Without a doubt, this will become a standard method in a research scientist toolkit.

FREMONT, CA: Machine learning has rapidly become an essential part of every industry. Material scientists and chemists will all have access to machine learning tools to enhance their Research & Development in the future. Seamlessly integrating these underlying operations will not happen quickly, but overlooking the developments in materials informatics will lead to a loss of competitive advantage.

Material Informatics (MI) is a data-centric approach applicable to specific material science and chemistry R&D. Without a doubt, this will become a standard method in a research scientist toolkit. Instead of just grabbing headlines, some form of MI will be assumed in all developments. The key to MI is around the integration, implementation, and manipulation of data infrastructures as well as machine learning approaches designed for chemical and materials datasets.

There is a significant amount of evidence to support this. However, the best backing is how the industries are responding to the technology. There has been a large amount of activity over recent years, including partnerships, investments, and announcements from some of the most notable chemical and materials companies.

Machine learning, by itself, can be used in various kinds of projects, from finding new structure-property relationships, proposing new candidates or process conditions, reducing the number of expensive and time-consuming computer simulations, and more. Machine learning approaches can take numerous forms of supervised and unsupervised learning methods. Generative methods can be effective at screening for optimized outputs across organic compounds. At the same time, even simple modified random forest models can be useful for proposing follow-on reactions to meet a desired set of criteria.

However, this is still at an early stage and requires a lot more development. There is a lot to be leveraged from existing developments in AI, but will first require integrating specialist domain knowledge and coping with the unique challenges of a materials dataset. The application space is broad, and studies have shown success ranging from organometallics, thermoelectrics, nanomaterials, and ceramics to many more.

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IDTechEx Report Suggests Machine Learning will be Accessible across Chemical and Materials Companies in the Future - CIO Applications

inPowered Selected by ANA as Winner of ‘Best Use of AI/Machine Learning’ Category at 2020 B2 Awards – Yahoo Finance

Content Marketing Has an ROI Problem & AI Can Fix That

SAN FRANCISCO, July 28, 2020 /PRNewswire/ --inPowered, the AI platform delivering business outcomes with content marketing, was awarded the top honors for the "Best Use of AI/Machine Learning" categoryat the 2020 Association of National Advertiser's B2 Awards. This marks the first time that inPowered has received this accolade from the ANA, one of the most highly regarded organizations within the advertising and marketing space.

The entry, titled "Content Marketing has an ROI Problem & AI Can Solve That," discussed the current pain point surrounding measurement and ROI that continues to frustrate marketers. inPowered has challenged the industry standard of evaluating success based off "CPC" or "CPM" by inventing a new content economy to measure KPIs; one that concentrates on consumer engagement versus clicks and impressions. Powered by an artificial intelligence (AI) engine, inPowered's proprietary technology doesn't optimize for clicks but instead for interactions that last a minimum of 15 seconds with each piece of content. This focus on authentically engaged users allows data collected from the technology to guide consumers towards post-click engagement and next-action business outcomes; resulting in a digital funnel entirely optimized for achieving real results and establishing concrete key performance indicators at the lowest cost per engagement.

"Since inception our mission has been to deliver real business outcomes with content marketing, as opposed to the vanity metrics like clicks and impressions that come from display advertising," said Peyman Nilforoush, CEO and Co-Founder at inPowered."This award from the ANA highlights the enormous opportunity for brands to achieve real ROI with content marketing by utilizing AI-powered content distribution, instead of DSP's or ad-network buys that result in expensive costs per visit, low times on-site and high bounce rates from un-engaged users."

The Association of National Advertisers had their biggest year yet with submissions for the 2020 B2 Awards, receiving hundreds of entries across more than three dozen categories. As the largest & oldest marketing organization in the United States, the ANA's mission is to drive growth for marketing professionals, brands and businesses, and for the industry as a whole. "B2B marketing is a cornerstone of our industry, and these awards honor the best and the brightest in the business," said Bob Liodice, Chief Executive Officer at the ANA.

ABOUT INPOWERED:

inPowered is the AI platform built to deliver business outcomes with content marketing. Using inPowered's artificial intelligence-powered technology, brands are able to increase the ROI of their content marketing initiatives by optimizing advertising spend towards the lowest cost across channels; as well as placing calls to action at optimized times to convert already-engaged audiences into tangible business outcomes. The company was founded in 2014 by Peyman Nilforoush and Pirouz Nilforoush after selling their previous company to Ziff Davis. http://www.inpwrd.com

MEDIA CONTACT:

Chelsea Waite, Director of Communications(415) 968-9859chelsea.waite@inpwrd.com

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inPowered Selected by ANA as Winner of 'Best Use of AI/Machine Learning' Category at 2020 B2 Awards - Yahoo Finance

Explorium, Augmenting Data Discovery for Better Predictions, Announces $31 Million in Funding to Accelerate Growth – AiThority

Explorium announced that it has secured an additional $31Min funding for its data science platform powered by automated data discovery. The Series B funding round was led by existing investorZeev Venturesand joined by ex-Twitter leaderships01 Advisorsand SirRonald CohensDynamic Loop, with the participation of seed investorsEmergeandF2 Capital.It brings Exploriums total funding to$50 million.

The greatest analytical challenge organizations will face over the next decade is finding the right data to feed their models and automated processes. The right data assets can make or break a company, or even propel a company to market leadership, saidMaor Shlomo, Co-Founder and CEO at Explorium. This is why we built Explorium to help companies discover the most relevant data assets out there, in an automated way. Were proud that our existing investors have doubled down on Explorium, and that new, world-renowned partners have joined them.

Recommended AI News: Alpha Sigma Capital Invests In Blockchain Social Media Platform Hyprr

Explorium empowers companies to build better predictive models by connecting their internal data to thousands of external data sources (including company, geospatial, behavioral, time-based, website data, and more), and then automatically uncovering hidden connections and generating custom signals and new data science features that make predictions more accurate. In doing this, the Explorium platform empowers data scientists by eliminating the barrier to acquire the right data, and business leaders by giving them the ability to make better decisions based on superior predictive power.

Since it announced its Series A funding last September, Explorium has tripled its customer base and expanded to incorporate data relevant to more industries and verticals. In addition to Exploriums Data Engine, either as a standalone product or integrated into its advanced data science platform, the company helps organizations through their machine learning and artificial intelligence transformations, by building models that impact the bottom line and create a competitive advantage.

Recent customers include online small-business lenderOnDeck, global media agencyCrossMedia,small business banking providerBlueVine,online eyewear retailerGlassesUSA,andsmall business loan providerBehalf.Explorium has also partnered with organizations includingAmazon Web Services, cloud data platformSnowflake, and data-driven strategy and consulting firmNova Consulting.

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It was pure serendipity that I met Explorium; they are the greatest startup that Ive encountered over the last several years, saidNicolas Harl, General Manager atNova Consulting Groupand a former Senior Partner and Managing Director at Boston Consulting Group. Explorium is about breakthroughs breakthroughs in the search for external data for machine learning, breakthroughs in the search for the most relevant data for my model, breakthroughs in that its not a one-off, but a continuous process, and breakthroughs for our data ingestion, cleansing, and model monitoring. Explorium permanently searches for data enrichment and improvement, which perfectly fits in the current, uncertain climate and helps us to be permanently adaptive and push forward in our quest for constant improvement.

Explorium is our go-to partner for all things data, saidEinat Aviv, Data Science Director atBluevine. They provide automated access to a wide range of sources and impactful signals, complemented by a strong platform that generates a myriad of features that continually result in more accurate models, driving better business results. Explorium is a great partner and our first stop when developing a new model.

Oren Zeev, founding Partner atZeev Ventures, said Explorium represents a new category in the world of data science, and their success in winning both global brands and fast-growing startups as customers demonstrates that companies desperately need better data and the right tools to make use of it.

Adam Bain, Twitters former COO and Partner at01 Advisors, explained his decision to invest. When I first saw Explorium in action, I thought every company that uses data needs this. Its like an app store for predictive models; you throw them your model and it finds different data to make it work better. Its really that simple. Were excited to be a part of it, he said.

Explorium, founded inTel AvivbyMaor Shlomo,Or Tamir,andOmer Har, was named earlier this year asIsraelsmost promising early-stage Fintech startup by Citi accelerator, Intuit, and Visa for bringing superior external-data-driven predictive decision-making capabilities for the financial services industry. The company will use the new investment to continue its expansion to new business verticals and geographic markets, growing its data catalog and hiring more data science and commercial talent.

Recommended AI News: Yes, There Is A Huge Demand For Salesforce Marketing Cloud Experts: AiThority Interview With Susan Marshall, CEO Of Torchlite

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Explorium, Augmenting Data Discovery for Better Predictions, Announces $31 Million in Funding to Accelerate Growth - AiThority

Whales Are Buying This Relatively Unknown Cryptocurrency As Money Moves to Bitcoin, Ethereum and Large-Cap Coins – The Daily Hodl

As Bitcoin continues to skyrocket in price and momentum moves to large-cap coins, the crypto analytics firm Santiment reports that whales are rapidly accumulating the relatively unknown cryptocurrency Ren (REN).

Ren, which provides inter-blockchain liquidity for decentralized applications, gained more than 350% in value since the beginning of April and hit its all-time high of about $0.199 on July 8th. It is currently ranked 64th among cryptos by market capitalization and trading around $0.168 at time of writing, according to CoinMarketCap.

Santiment utilizes a metric that examines the amount of tokens held by top non-exchange owners, otherwise known as whales. And that metric indicates whales have been purchasing REN for the last two months.

Santiment does note, however, that with Bitcoin trading around $11,000, the overall momentum seems to be favoring large-cap coins, which could push DeFi coins lower in the near term.

amongst the top 100 highest market cap crypto assets, 20 of the 30 projects that have had positive gains in the past day are in the top 40.

After the past couple months were all about DeFi and altcoins having all the fun, the narrative has quickly switched back to BTC and large-cap assets. This shift could be long lasting with our DAA and volume indicators supporting a movement toward top cap projects.

As for Ethereum, the second-largest cryptocurrency by market cap has been rising at a faster pace than Bitcoin. However, there are signs it may pull back in the short term, according to the analytics firm.

Santiment utilizes a metric called Daily Active Addresses (DAA) vs. Price Divergence, which comparesan assets price action to the number of unique crypto addresses interacting with that specific coin on a daily basis. The metric views price action that outpaces DAA as a bearish signal, and vice versa.

For the first time since the middle of June, Ethereum earlier this week saw a deficit in daily active addresses. Still, Santiment says the assets overall fundamentals remain strong:

Featured Image: Shutterstock/NanEstalrosa

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Whales Are Buying This Relatively Unknown Cryptocurrency As Money Moves to Bitcoin, Ethereum and Large-Cap Coins - The Daily Hodl

Investors are rushing into cryptos, as market capitalization surges to $323 billion – Nairametrics

BTC whales have been moving large stacks of Bitcoins lately, triggered by the recent bullish momentum in the BTC market.

According to data obtained from BTCBlockbot, a crypto analytic tracker, an unknown whale moved 15,022 BTC in block 641,074, estimated to be roughly worth about $162 million, about 10 hours ago.

READ MORE: Over 900,000active Bitcoinwallets pushtransactions to3-yearhigh

It should be noted that Bitcoin is not really anonymous, because all BTC transactions are kept permanently and publicly on the blockchain or ledger system. This makes it very easy for anyone to see the transactions and balances of any BTC address.

According to data obtained from Coinmarketcap, Bitcoin traded at $11,000 with a market capitalization of $202 billion, at the time this report was drafted.

READ ALSO: Tether whales move USDT 110,000,000 in 1 hour

Quick fact: At the BTC market, investors or traders who own large amounts of cryptocurrency are typically called BTC whales. This means that a BTC whale would be an individual or business entity (with a single Bitcoin address) owning around 1000 BTCs or more.

As BTC whales accumulate BTCs, the circulating supply reduces, and this can weaken any bearish trend Bitcoin finds itself in. What this means in essence is that over time, as BTC approaches its fixed supply of 21 million, its possible that the price of BTC will go up, with BTCs present demand factored in.

READ ALSO: Bitcoin thieves move 3,897 BTC worth $42 million in 1 hour

Although it is difficult to predict market movements, Bitcoin whales have shown historically that they often determine Bitcoinstrend.

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Investors are rushing into cryptos, as market capitalization surges to $323 billion - Nairametrics

Quantum security: The end of security as we know it? | IT PRO – IT PRO

As Google and IBM race to become the first to create a fully functional quantum computer that can be applied to practical problems, voices warning the advancement of this technology could have very real unintended consequences are growing increasingly loud among cyber security professionals.

Virtually every aspect of our lives nowadays relies on strong encryption, from financial services to shopping sites, email and often elements of our work life such as HR or expenses systems. The security systems they use must be and largely are reliable and trusted.

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To break the RSA public key cryptographic systems, for example, would take millions of years with the standard computers available today. A quantum computer able to run thousands of quantum bits (qubits) would be able to do it in a far more reasonable time, but with the leading developers claiming a maximum of 100 qubits with their implementations, we are far from building a quantum computer to challenge current security protocols. What of the future, though?

In its report, the RAND Corporation concludes steps must be taken today to meet the challenges of a post-quantum cryptographic security environment. "If an adequate implementation of new security measures has not taken place by the time capable quantum computers are developed, it may become impossible to ensure secure authentication and communication privacy without major, disruptive changes," said Michael Vermeer, lead author of the report and a physical scientist at RAND.

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The security systems that businesses and individuals rely upon every day use two forms of encryption: symmetric and asymmetric. How you securely communicate with your bank or use your mobile phone without anyone eavesdropping on your calls will use a combination of these security systems.

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Current security systems used to protect sensitive data typically use a combination of Advanced encryption standard (AES) developed back in 2001, RSA (RivestShamirAdleman) and Elliptic-curve cryptography (ECC). As financial services tend to use asymmetric cryptography such as RSA and ECC, these systems are vulnerable to attack by quantum computers. AES is less susceptible as the systems are symmetric, but could still be broken.

Speaking to IT Pro, Dustin Moody of the NIST Post-Quantum Cryptography (PQC) team, explains: A working, large-scale quantum computer would have some impacts on the crypto we currently use. First, such a computer would be able to run Shor's algorithm, which would break all currently deployed public-key cryptography. Second, a quantum computer would be able to run Grover's algorithm, which would have the effect of us having to use longer keys/hash functions for the algorithms we use for symmetric-key cryptography.

Moody continues: We use both public-key and symmetric-key cryptographic techniques to provide the security we expect today. If we made no changes in advance of this, then yes, security would be severely threatened. Note that we will need completely new quantum-resistant public-key crypto algorithms, while for the symmetric-key algorithms, we only need to use larger parameter sets. NIST has a post-quantum cryptography standardisation project ongoing to address these issues before a large-scale quantum computer comes into existence.

Estimates vary wildly regarding the timeframe for a practical working quantum computer. The timelines are even longer when quantum encryption systems are considered. The security community, in general, is advising we should be undertaking research into how a post-quantum encryption security environment could look like as NIST is currently doing.

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The cryptographic community is beginning to focus more on post-quantum cryptography, but more time and testing is needed to improve the efficiency and build confidence in post-quantum cryptography, as well improve its overall usability, says Kevin Curran, IEEE senior member and professor of cyber-security at Ulster University. We may very well find that we do not actually need post-quantum cryptography, but this is too risky if we do not conduct the research now, then we may lose years of critical research in this area later on.

Understanding the massive challenges still ahead to design and build a quantum computer that can perform useful work is critical to place the concerns regarding quantum computers and encryption into a realistic context.

Brian Hopkins, VP and principal analyst serving CIOs and technology leaders at IBM, explains: The market doesnt understand how frighteningly immature quantum computers are. We are all intrigued or concerned about some future powerful quantum computer with huge theoretical potential. But we have so far to go. For example, each qubit in an IBM quantum computer takes something like four physical cables to control. Each cable costs thousands of dollars. Thats to control 20 qubit machines. How will we scale this to millions of qubits in a cost-effective way? Millions of cables running into deep freezers on a quantum computer the size of a building? The truth is, nobody knows.

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Hopkins concludes: Even the best firms say they won't get to quantum advantage in small scale NISQ (noisy intermediate-scale quantum technology) use cases for five-to-ten years. That's a lot of time for things to change. And all the while, classical computers are still getting more powerful and we are developing other types of computing neuromorphic chips, optical chips, memristor chips and so on that can do things like machine learning much better than quantum computers can.

Research from DigiCert revealed over 70% of respondents are aware of PQC, showing IT departments are already thinking about the possibility of future security breaches.

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Doing business in a 'quantum-safe' environment will take shape as quantum computers themselves evolve. We already have security protocols that should be safe from attack from hackers equipped with a quantum computer. OASIS KMIP and IEEE std 1363.1 are leading the way to a future where reliable security systems continue as we use them today.

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Distributed Ledger Technology (DLT) and the blockchain, meanwhile, have been heralded as the next evolution of data security. Moving away from centralised data stores that can be compromised to a distributed system is held by many as the solution to current data security challenges. Thankfully, they also seem to be resistant to the problem posed to security by practical quantum computers. In its 2018 report on the matter, Forrester states: Quantum computing isnt going to blow apart DLT-based systems today or even in the foreseeable future.

This doesnt mean businesses can be complacent, though. The systems being built today may well have to contend with an environment where practical quantum computing is real. Its critical, therefore, to think about how data security is being handled with technologies like DLT to understand how they could be impacted in a post-quantum landscape.

As NISTs Dustin Moody notes: Technologies like blockchains and the like use different cryptographic components. You have to examine the quantum threat for each component. In the simplest case, a blockchain requires computing hash functions and needs to use (public-key) digital signatures. The digital signatures will need to use quantum-resistant or quantum-safe algorithms to be protected from a quantum computer. The hash functions will need to use longer outputs, which is not too hard to do (ie you could use SHA-512 instead of SHA-256).

For now, the security platforms in use are more than adequate and it could be decades before we have to worry about the security protocols being rendered useless. Nevertheless, the future may require radical rethinking of how we approach every security system currently in use

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Quantum security: The end of security as we know it? | IT PRO - IT PRO

MIT Lightning Creator Unveils First Demonstration of Bitcoin Scaling Tech – Yahoo Finance

The infrastructure propping up Bitcoin might become easier for anyone to spin up and run.

Lightning creator Tadge Dryja has been working on a new design for a lighter weight Bitcoin full node, about which he first wrote a paper in 2019. Last week, he and a team of coders released a first version of the Utreexo software as a part of MIT Digital Currency Initiative (DCI), putting the idea of lighter nodes into working code.

Full Bitcoin nodes act like financial security systems, validating Bitcoin blockchain transactions and protecting users from being tricked into thinking they received money that they didnt. But they take up a lot of computing space and are quickly growing in size.

Related: OpenEthereum Supported 50% of Ethereum Classic Nodes. Now Its Leaving the Project

Since these nodes are the most trustless way of using Bitcoin, developers have long been trying to make them easier to use. Its one of Bitcoins nerdy holy grails.

Read more: Jonas Schnelli Wants You to Run a Bitcoin Full Node

Utreexo specifically tackles the size of the state of a full node, which shows up-to-date information about who owns how much bitcoin. Utreexo slashes this state size from roughly four gigabytes to less than a kilobyte. In that regard, it could be a big breakthrough.

Utreexo is a new scalability technology for Bitcoin, which can make Bitcoin nodes smaller and faster while keeping the same security and privacy as full nodes, Dryja wrote in the blog post announcing the release.

Related: NEAR Protocol Enlists Bison Trails for Validator Support as It Heads Toward Full Mainnet

But it hasnt been implemented fully yet, which is why it is a big deal to see Dryja releasing a first version of it. The project still has a long journey to go before users can begin using the nodes to plant a flag of financial self-sovereignty. But its a crucial first step.

Bitcoin full nodes hold every transaction ever made, clocking in at about 200 GB today.

Pruned full nodes are able to reduce the size of the transaction history to as low as a half a gigabyte, about the size required to store an episode of a TV show.

But this doesnt tackle the storage of Bitcoins Unspent Transaction Outputs (UTXOs), which tallies up how much bitcoin is linked to each bitcoin address. This batch of data takes up a little less than 4 GB of data.

This UTXO state has grown rapidly over time and it is likely to continue growing, making it harder to run full nodes.

Thats where Utreexo comes in. With the help of fancy, new cryptography, its possible to replace this bulk of state with one tiny cryptographic proof that takes up much less storage.

Read more: Lightning Co-Creator Releases Code for Bitcoin Scaling Concept

Utreexo is a novel hash based dynamic accumulator, which allows the millions of unspent outputs to be represented in under a kilobyte small enough to be written on a sheet of paper, Dryja explains on the MIT DCI website.

Because it does what a pruned node does, plus more, one bitcoiner called it a super-pruned node, Dryja told CoinDesk.

Trying to shave down these hefty Bitcoin full nodes is far from a new pursuit. Simplified Payment Verification (SPV) is probably the most popular version of a lightweight node, used by Electrum and other wallets.

Utreexo is similar to SPV in that it doesnt require nearly as much computer storage space as a full node. But SPV nodes dont preserve user privacy as well and are more susceptible to attacks than Utreexo nodes are.

Since Utreexo offers these security benefits, Dryja hopes it might chip away at SPVs dominance in the space (as long as writing the Utreexo software goes as well as planned). I think it would be great if it replaced SPV to some extent, allowing an Electrum-like user experience but with Bitcoin Core security, he told CoinDesk.

Read more: Could SPV Support a Billion Bitcoin Users? Sizing up a Scaling Claim

But in the end, he doesnt think itll replace SPV completely, as SPV is still easier to run.

I think it will be a bit in between. [Utreexo nodes are] heavier than SPV but lighter than current full nodes, so some SPV users may switch to Utreexo, and some current full node users will switch as well, he said.

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He also imagines that since Utreexo nodes are so much easier to run, theyll be much more common than normal full nodes.

Longer term, I can definitely see almost all full nodes using a Utreexo-like design, and nodes which store the entire state and history would be more like current blockchain explorer websites or Electrum servers there will still be some, but no normal users will run their own, Dryja said.

Utreexo developers now put forward a proof of concept, showing that the idea can be turned into a real working product. But they still have a lot of work to do, including ironing out bugs to make the mini node suitable for real money.

The software also operates on testnet, the Bitcoin testing network, and is not recommended for use with real money. There are still plenty of known bugs and inefficiencies in the code, but were improving it at a rapid pace, Dryja writes.

Theyll eventually have to make the Utreexo node compatible with the nodes already running on the Bitcoin network. To do this, developers will eventually need to modify Bitcoin Core, the most popular Bitcoin node software.

But this could be dangerous. Utreexo is a significant re-thinking of how Bitcoin works, changing consensus-critical code, Dryja writes.

It is thus likely to be difficult to get Utreexo code into Bitcoin Core, and with good reason. We want to be very sure to not introduce problems into a system handling so many peoples money, Dryja said.

Thats why theyve decided to see if they can try to add Utreexos magical powers to alternative Bitcoin node software Btcd first, because its not used by nearly as many people to secure their money, and in the process learn more about how it affects full node operation, Dryja said. The next step will be eventually applying what they learned to Bitcoin Core.

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MIT Lightning Creator Unveils First Demonstration of Bitcoin Scaling Tech - Yahoo Finance

Investors are now rushing into Ethereum, as gains surge by 262% in 4 months – Nairametrics

Ethereum (ETH), the worlds second most valuable cryptocurrency by market value, has more than doubled in value over the last four months. This has left BTC, the worlds flagship currency, in the dust.

Data from Coinmarketcap showed that Ether was trading around $293 at the time of this report, representing about 262% gain since March 12th, 2020, when it traded at $112. Its market capitalization presently at $32 billion.

In addition, ETH miners are smiling to the bank as data feed obtained from Glasscode has shown revenue from fees surging to an all-time high. On the hourly chart, Nairametrics observed that more than a third of the ETH miner revenue currently comes from fees rather than blocks; up from less than 5% in April.

READ MORE: BTC & ETH on pace to hit transactions worth $1.3 trillion in 2020

Recall that Nairametrics had earlier given valuable insight about Ethereums price action, revealing ETH was finally breaking out of its long $200-$250 daily close range, and that it was time to revisit its historical model that illustrated the number of times a daily close transition had occurred between psychological support levels.

ETH is sitting in its sweet spot where the most polarization has historically unfolded (between the $200 and $300 levels) during its five-year history. A close above $300 in the near future would be the 42nd instance of the price closing above or below it.

READ: Dogecoin gains 50% in less than 24 hours, highest single-day gain since 2017

ETH is a cryptocurrency designed for decentralized applications and deployment of smart contracts, which are created and operated without any fraud, interruption, control or interference from a third party. It is a decentralized system, fully independent, and is not under anyones authority. It has no pivotal point, and its platform is connected to thousands of its users through their computing system around the world, which means its almost impossible for ETH to go offline.

Like with many other crypto assets, speculating with Ethereum can be highly profitable and has had a good history of giving its investors huge returns. However, there are also many other options to make income from Ethereum. These options include Ethereum mining, Ethereum faucets, and ETH staking.

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Investors are now rushing into Ethereum, as gains surge by 262% in 4 months - Nairametrics

Kupchick Disheartened By Protesters At Fairfield Police Station – Fairfield, CT Patch

Submitted by the office of Fairfield First Selectwoman Brenda Kupchick

Since the murder of George Floyd, Fairfield has been host to protests and rallies. At each of these events, protesters were provided the opportunity to safely exercise their First Amendment right. There were no counterprotests or interruptions; just an engaged citizenry that attended peacefully, listened, and went home, myself among them. The Fairfield Police Department provided a safe environment for protesters by taking swift action to close down the Post Road as they spilled onto the street. While faced with signs that read "Police are Murderers" and other profane language, they continued to provide safe passage with the utmost professionalism.

On Monday afternoon, I held a press conference on the front steps of the Fairfield Police Department with law enforcement and other local elected officials to express concerns regarding HB 6004, An Act Concerning Police Accountability, which passed the Connecticut House of Representatives last week.

Instead of being afforded the same courtesy to exercise our First Amendment right, we were shouted down, called a shocking array of profanities and further insulted with vulgarities displayed on posters, along with a large banner with the words "Defund & Disarm Police."

READ MORE: Fairfield Cops Call For Patience But Protesters Want Reform Now

Let me be very clear about one thing. As the chief elected official of the town of Fairfield, I will never support defunding or disarming the Fairfield Police Department.

I unequivocally support the sections of the bill that include further training, education, mental health screenings and accountability of law enforcement. I'm extremely proud that the Fairfield Police Department already has policies in place that meet or exceed many of those provisions outlined in the bill.

However, there is language in the bill, specifically the section ending qualified immunity, that our police chief and I believe will significantly impact the ability of our police officers to do their jobs and it will hinder Fairfield's ability to retain good cops and recruit new ones.

Additionally, there will potentially be a huge financial impact on town budgets, the extent of which is still unknown because the bill has not been fully vetted.

Undoubtedly there are policies we can put in place to hold bad actors in police departments accountable, but we should do so without punishing the majority of the good men and women who protect our community every single day.

For a bill of this magnitude with such broad implications to be rushed through a three-week process, and then voted on in the middle of the night, is concerning and irresponsible.

The Senate should table HB 6004 until the legislature reconvenes in September so it can be fully scrutinized with all voices being considered.

Emotions are high and the national political landscape makes it more difficult for all of us on a local level, but I was extremely disheartened by the behavior of the protesters who disrupted the press conference on Monday. Everyone is afforded the same protections under the First Amendment, but the only way we can truly find solutions is to participate in civil discourse, whereby conversation occurs with the intention of enhancing one's own understanding.

I call on our residents to engage in respectful and productive conversations. I appreciate and value the input from members of our community who have called me over these last few months in an effort to help provide a greater understanding to me of life experiences that are different than my own.

I want to close by thanking the men and women who serve our community honorably; for their professionalism and integrity, and for putting their personal safety on the line every day to keep the residents of Fairfield safe. I thank you and many of our residents thank you.

Fairfield will get through these challenging times together.

Brenda Kupchick

Link:

Kupchick Disheartened By Protesters At Fairfield Police Station - Fairfield, CT Patch