Ethereums price could recover as falling wedge takes hold – AMBCrypto

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Ethereums price was trading below the $150 support area, following the cryptocurrency markets latest dip. At press time, ETH was down by 0.12% over 24 hours and was trading at $148.07, according to CoinMarketCap.

Ethereum 1-hour Chart

The formation of a falling wedge pattern was recorded by Ethereums hourly chart, with the price oscillating between two downsloping trendlines. This was indicative of a potential bullish breakout in the near-term. The 50 moving average was above the 100 moving average after it sustained a bearish crossover on 1 December following the collective market slump. On the upside, the moving averages appeared to be converging and could be heading for a bullish crossover in the future.

Following an upside breakout after the closure of the wedge, Ethereums price might possibly climb near the 50 moving average, i.e., $149. If the positive trend continues and gains necessary momentum, ETH could possibly breach $151. While a trend reversal at this point was not predicted, the coin found support at $145-level.

Contradicting indications

The MACD was still in the bears realm, with the signal line hovering above the leading line. The lines, however, appeared to converge. This might potentially mean a bullish phase for the coin in the future. The RSI was below the 50 median and was headed upwards. This suggested a high sell pressure among ETH investors. However, the upward movement of RSI could indicate a reversal of this trend.

Conclusion

A bullish breakout was projected from the pattern formation found on the chart. However, the indicators and the moving averages could resist the coin and stop it from climbing and breaching significant levels. If the bearish pressure continues, ETH bulls might find itself resisted at $149.

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Ethereums price could recover as falling wedge takes hold - AMBCrypto

Technical Analysis: Pivotal Weeks Ahead for the Price of Ethereum (ETH) – SludgeFeed

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The next few weeks will likely prove to be pivotal for the price of Ethereum (ETH).

To simplify matters, since Bitcoin (BTC) is currently trending down and could range trade for an extended period of time, well consider the ETH/BTC chart.

A look at the chart shows a potential bottom in the 0.016-0.019 region, which may prove to be the last low for a while if Ethereum can move higher from here. Since September, ETH has been outperforming BTC, but recently failed to break above the resistance level of 0.022. Currently, the trading pair is looking to form a local low, potentially around the psychological support level of 0.020.

If bulls are able to flip this level, there could be more upside ahead and we would be looking at the 0.024-0.025 range as the next immediate resistance level.

While the technicals are looking fairly solid, the fundamentals of the Ethereum ecosystem are looking better than ever. The amount of Ethereum and total capital locked in decentralized finance (DeFi) applications continues to hit new highs. Additionally, blockchain gaming and NFT collectibles are beginning to take-off with investors beginning to back major projects. Finally, the impending switch to Proof of Stake (PoS) offers further economic incentives for larger participation in the network, adding another potential catalyst.

With that in mind, investors should keep an eye on Ethereum over the next few weeks and the remainder of 2019, as it will likely prove pivotal for the future price action of the largest altcoin.

US investors looking to trade ETH commission-free can earn $25 in free BTC by signing up for the Voyager appthroughthis link(or use code: SLUDGE25).

Disclaimer: This articles author has cryptocurrency holdings that can betracked here. This article is for informational purposes only and should not be taken as investment advice. Always conduct your own due diligence before making investments.

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Technical Analysis: Pivotal Weeks Ahead for the Price of Ethereum (ETH) - SludgeFeed

Value of Ether (ETH) Locked in DeFi on Course to Pass $1 Billion Soon – Blockonomi

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Ether is the gas and currency of the Ethereum network. As a testament to the growing use of that network, the USD value of ether locked up in Ethereum-powered decentralized finance applications, or DeFi dApps, crossed an all-time high of $700 million on November 29th.

That milestone has many Ethereum proponents guessing: when $1 billion?

To be sure, crossing the $1 billion mark is an arbitrary threshold, but it is a round, psychological point for stakeholders to gauge Ethereums fledgling performance.

Moreover, for the reigning smart contracts platform it represents a watershed moment validation by tangible, even if relatively modest adoption when Ethereum is rising but still very much so insurgent.

With detractors who have said Ethereum would never get this far and more yet who have never heard of the project at all, seeing $1 billion locked in DeFi shows not only that real utility is at work but that its also gaining traction.

The rise toward $1 billion comes after Ethereums biggest DeFi dApps have ascended in 2019.

For example, the biggest DeFi project to date, Maker, saw its governance votes facilitated through MKR tokens take on increased importance this year as Makers Dai stablecoin has become more and more of a darling to the Ethereum community. Notably, the Maker team just achieved its biggest milestone yet in activating Multi-Collateral Dai (MCD) earlier this month, a system that, among other things, allows users to draw out Dai loans using collateral beyond just ether.

Another big DeFi riser this year has been Compound, one of Ethereums growing stable of composable money legos that has in short order become the second most popular DeFi crypto lending service behind Maker. As a possible indicator of Compounds future prospects, the dApps builders raised a $25 million Series A war chest in November that they hope to use to bring the projects crypto lending services to mainstream users.

Another new DeFi heavyweight has been Synthetix, which has arrived on the scene much more recently than Maker or Compound. Still, Synthetix has glided into something of a vogue status this year, recently rising into second place (per Total Value Locked in USD) behind Maker on tracker website DeFi Pulse.

Simply put, Synthetix allows users to create Synths, or on-chain synthetic assets that are tied to the value of real world assets like stocks, indices, and beyond. And DeFi projects have their risks and rises and falls, Synthetix, like Maker and Compound, might just be here to stay.

As DeFi is still early, it still has its fair share of disadvantages.

One of those disadvantages might be that DeFi is becoming so important that its biggest dApps could be kingmakers in future Ethereum disputes.

Thats according toLeland Lee and Haseeb Qureshi, who outlined in a think piece earlier this month how Ethereum might have become unforkable as a result of the growing clout of its biggest DeFi dApps.

As such, the authors argued that major DeFi projects would have to pick one chain over the other amid a political Ethereum dispute, meaning the chain that the biggest DeFi projects choose to back will likely be the main Ethereum going forward. As Lee and Qureshi wrote:

If you imagine the movie version of this saga, the minority chain looks like an abandoned metropolis. Towering buildings sitting empty, alarms going off with nobody to respond, smoke billowing in the distance. Theres no one to even bother rebuilding for.

Of course, thats all just a theory for now, but the argument is compelling. Even the prospect of Ethereum being unforkable shows that the specter of the platform is growing.

eToro Risk Warning: 75% of retail investor accounts lose money when trading CFDs with this provider. You should consider whether you can afford to take the high risk of losing your money.

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Value of Ether (ETH) Locked in DeFi on Course to Pass $1 Billion Soon - Blockonomi

VC Investor: 3 Reasons to Not be Concerned With Ethereum Scaling – newsBTC

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Ethereum has come under fire this year over scaling issues and longevity of the project. There will always be the detractors which support rival crypto platforms and the phalanxes of Bitcoin maximalists believing that BTC is the only fruit. One prominent VC investor sees no reasons to be concerned with ETH scaling issues.

There is a lot of work going on under the hood on the Ethereum network at the moment. The project has more developers than any other competing platform yet serial detractors continue to bash it. VC investors and former project manager at Coinbase, Linda Xie, is not worried as she recently explained.

The first reason is that all scaling issues are likely to be solved with ETH 2.0. The development work on Serenity is progressing as planned Xie pointed out. The first step to the next iteration of the network will be Phase 0, Beacon Chain implementation.

Version 0.9.2 of the Phase 0 spec was released a few days ago with further tweaks to the system. Testnets such as the one from Prysmatic Labs continue to put Beacon Chain through its paces to ensure a smooth rollout to mainnet later next year. Istanbul must come first though and that hard fork has been scheduled for December 8 or thereabouts.

Phase 1 will be sharding implementation which will follow once Phase 0 has been successfully deployed. This will split the data processing responsibility of the blockchain among many nodes, allowing parallel transaction, storing, and processing of information which eases the load on the Ethereum mainchain and permits scaling.

Phase 2 which is even further down the roadmap includes the introduction of a new Virtual Machine Ethereum-flavored Web Assembly (eWASM). This would allow web standard (W3C) smart contracts written in any language to be executed on Ethereum.

Xie added that there are great teams working on other promising solutions such as Optimistic and ZK Rollups. Optimistic is a promising technology for scaling general-purpose smart contracts on Ethereum in the near term while ZK Rollup is a more sophisticated technology which can be used for token transfers and specialized applications today.

Thirdly the Scalar Capital co-founder added;

Certain use cases can take off that dont require significant scaling e.g. DeFi

DeFi has been touted as the future of decentralized finance and a system that is long overdue in a world where banks are drowning in their own debts. Even with the Ethereum price dump, DeFi markets continue to grow.

With all of Ethereums scaling solutions and a healthy decentralized finance market there really is nothing to be concerned about. Price on the other hand is a little hard to swallow at the moment, but with ETH wallowing around the $150 level and a bright future ahead, it can only go one way in the long term.

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Ethereum Express Launches Two Pilot Projects Spanning Over 48,000 Users – The Merkle Hash

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The community-driven Ethereum Express network has announced the launch of two pilot projects with an audience of over 48,000 users. The Proof-of-Authority algorithm based blockchain will be applied in both projects to ensure higher efficiency and transparency of operations.

The Ethereum Express blockchain has recently undergone successful testing and shown outstanding values exceeding 1,000 transactions per block with network capacity reaching over 200 transactions per second that beat the Ethereum networks 15 TPS hands down. Over 48,000 users from the US, Japan, Brazil and Ukraine are encompassed by the pilot projects with a total net value of around $500 million.

One of the pilot projects is reportedly Mining Express, the worlds fifth largest mining company. Mining Express is seeking scaling of its mining infrastructure in light of increased customer demand as management believes that the EEX project can help increase the efficiency of its operations.

The EEX blockchain team is looking forward to the successful implementation of pilot projects, as that would allow it to highlight the technical characteristics of its solutions and attract the attention of potential business partners from other industry sectors. The endeavor will also allow the Ethereum Express to grant its community the chance of generating passive income through transaction validation on is blockchain.

The Ethereum Express network is also introducing its internal EEX coin as the main means of settlements within the infrastructure and as the main instrument of transactions between the gambling and mining industries the pilot projects are operating in. Among the potential applications for the EEX coin is the role of a global backup currency that would expand into other business environments.

The development team of the Ethereum Express project is confident in the success of its pilot projects, as success will pave the way for the adoption and popularization of EEX as a reliable blockchain partner for a variety of business sectors.

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Ethereum Express Launches Two Pilot Projects Spanning Over 48,000 Users - The Merkle Hash

Staking And Validation Details in Ethereum 2.0 Disclosed – U.Today

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The Ethereum (ETH) network is preparing itself for the most radical update in its history - switching from Ethereum 1.0 to Ethereum 2.0. This may occur in 2020 after the last Ethereum 1.0 hard fork.Carl Beekhuizen of the Ethereum Foundation's Research and Development (R&D) Department recently shared some details on the status of the future network.

Sincethe design of Ethereum 2.0 will be quite different from what we have seen with Ethereum 1.0, the migration process will take a significant amount of time. At the moment, developers plan to organize it in three stages.

During Phase 0, or "Beacon Chain", the interaction between validators andthe coordination of shards will be managed. Mr. Beekhuizen added that "the beacon chain is the source of ground truth" for Ethereum 2.0.

During Phase 1, the data will migrate to newly designed components from the existing ETH. Finally, Phase 2will upgrade Ethereum 2.0from a robust database to a fully decentralized computing platform.

Mr.Beekhuizen also mentioned the progress with these stages:

At the time of writing, Phase 0 is nearing launch as developers put the finishing touches on the client software. Meanwhile, the specification for Phase 1 is being completed, and Phase 2 is under active R&D, saidCarl Beekhuizen.

The new ETH will be a Proof-of-Stake (PoS) network, where all transactions will be approved by validators. Mr.Beekhuizen says that the design of Ethereum 2.0 will allow a "million" validators to simultaneously act on the network. In order to avoid the system from overloading, all validators will interact with the main network through "committees".

Ethereum 2.0makes the distinction betweennodes and validator clients, and validators will need both in order to perform their duties. Each validator will need to stake exactly 32 ETH to a validator deposit contract.

Therefore, people who wish to stake more ETH will need to run multiple validator instances. The node-client separation allows such users to only run a single beacon node with multiple validators connected to it, thereby reducing computation, memory, and storage requirements.

According to Carl Beekhuizen, the network will be enough reliable to survive World War III, unsophisticated enough to run on a laptop, and fraud-resistant enough to assume that validators will belazy and take bribes.

ETH is currently worth $151.3 USD, so you can become a validator on Ethereum 2.0 network for only $4,842 USD. Does this sound interesting to you? Share your thoughts on Twitter!

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Staking And Validation Details in Ethereum 2.0 Disclosed - U.Today

Ethereum 2.0 progress shows improved initial sync block processing times – AMBCrypto

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Prysmatic Labs, a team of developers building code onEthereum, recently published a report on the latest Ethereum 2.0 development updates. The report detailed the changes that have been implemented, while also expanding on the steps taken to ease the further development of the upgraded blockchain.

According to Prysmatic Labs, Prysm nodes on the testnet observed a finalized checkpoint reversion on 21 November, causing incoming attestations to be rejected. On further investigation, the team found an edge case in the fork choice specification, a finding which led to a catastrophic difference in perspective on what the right finalized checkpoint was.

In response, the team wrote tools to extract the bad nodes database for playback and used a lot of Prometheus graphs to help narrow down the problem. Additionally, the team claimed to have significantly improved initial sync block processing times by reducing concurrency issues on the database, while enabling data compression to reduce storage requirements.

A modern consumer grade laptop can sync 50 to 60 blocks per second on the Prysm test network and the final database size ends up at less than 600Mb when combined with experimental feature flag prune-states. This means you can sync to the testnets head block in under 1 hour at 150k slots!

The report also provided details about other new features added over the last few weeks, such as allowing the filtering of active validators in the ListValidators API call and returning whether or not an epoch is finalized in its GetValidatorParticipation endpoint. Further, the team also enabled explicit filtering of genesis data for beacon blocks and attestations.

Listed under the Upcoming Work section of the report, Prysmatic Labs added that they would be actively working on integrating Slasher with the Beacon Node, while fixing P2P network peering by attempting to enhance the P2P connection manager from libp2p to have a hard limit on peers.

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Ethereum 2.0 progress shows improved initial sync block processing times - AMBCrypto

Ethereum devs to delay Ice Age with Mountain Glacier – AMBCrypto

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At an Ethereum Core Devs meeting earlier this month, James Hancock, the hard fork coordinator, was still yet to predict when Ice Age would exactly hit. With Ice Age being delayed further and further, Tim Beiko took to Twitter to give the community an insight into the latest [76] core devs meeting where Ice Age was widely discussed. Beiko tweeted,

We thought we had months until it kicked in, but those numbers were wrong. The Ice Age is already being felt! There is now a proposal for a single-EIP upgrade after Istanbul to push it back: EIP-2387 a.k.a. Mountain Glacier

During the meeting, EIP 2384 was proposed, an Ethereum improvement proposal which is focused on delaying Istanbul/Berlin difficulty bomb aka Ice Age. A delay of the difficulty bomb for another 4 million blocks was proposed in this EIP. The EIP would push the Ice Age back 4 million blocks for a total of 9 million. Beiko claimed that there was a rough consensus on pushing the difficulty bomb. This upgrade is scheduled to take place on block 9.2 million, which would most likely be on 6 January 2020. Beiko tweeted,

There are no objections on the call, so it seems we have rough consensus to upgrade on block 9.2M, push back the difficulty bomb 9M blocks, and use the Mountain Glacier name. There is now the question about what to do for testnets? Not all of them have a difficulty bomb.

However, towards the end of his tweet thread, Beiko suggested that they hadnt come to the final number as of yet.

Additionally, Beiko revealed that Hancock had included something in the Ice Age EIP that would shed light on how to deal with this in the future, while acknowledging that the current Ice Age model wasnt optimal.

Further, the Team Lead at Ethereum, Pter Szilgyi, reportedly asserted that it isnt advisable for the fork to take place on the PoA network as it would change the fork ID of the networks even though the fork would do nothing on those networks. However, the Ropsten testnet has a difficulty bomb and Beiko added,

.@shemnonadds that this could lead to clients having a negative difficulty if clients didnt implement the difficulty correctly (i.e. have a floor set at 0). There are some reference tests that should cover this, though!

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Ethereum crippled by high fees and massive congestion – CoinGeek

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Scalability might be the single most important factor in blockchain technology today, as projects that attempt to provide real utility cant realize their long term goals without it. Ethereum is now proving that scalability isnt its strong suit, as a new game created full blocks, killing the utility of the platform and spiking fees in the process.

Twitter user Nate Maddrey raised concern over the Ethereum network getting bogged down on November 23, causing high fees for all users:

At the time, Maddrey could only speculate on what was causing this spike of usage and fees. On November 26, Coin Metrics published their weekly State of the Network, and they were able to put two and two together to figure out what happened.

Gods Unchained, a trading card game, launched their marketplace on the Ethereum network and created trade volume of $220,000. Due to a wave of new players jumping into the game, especially in the wake of Blizzards Hearthstone banning a popular player over his criticism of Chinas handling of Hong Kong protests.

The sudden popularity and utility of the Gods Unchained, which has since died down, made Ethereum essentially useless for everyone else.

bloXroute, a start-up focused on solving the scalability problem of Ethereum, has emphasized that if Ethereum cant figure out a way to scale to the demand of its users, its doomed. Ethereum feels the burn of the scalability bottleneck more than any other blockchain out there, said Uri Klarman, bloXroute CEO. Its losing momentum, its losing market share. They feel the problem. Most others dont.

This is a problem Ethereums founder, Vitalik Buterin, has also admitted to. He noted in August that his baby was almost already fully congested, and its only gotten worse since then.

This all amounts to a lot of time and money wasted on a project that cant go anywhere fast. As the world turns to blockchain technology, it needs one that has proven scalability that can meet the immense demands of enterprise usage. The only blockchain that has proven it can do that, and continues to scale more massively, is Bitcoin SV.

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Artificial intelligence: The rising star of education – Daily Sabah

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We now know that technology continues to change our lives daily, and these changes have not only transformed the cornerstones of the economy and society but also our professions and education. For this reason, countries need to prepare for the future to keep pace with the changes and make radical transformations in teaching methods for young people, the locomotives of the future. The World Innovation Summit for Education (WISE) in Qatar, which has been held for 10 years, has redefined the meaning of being human by making this transformation front and center this year.

The event focused on how to prepare children for educational and technological transformations and what needs to be done to ensure that the basic educational needs of children from all income levels and migrant camps in the region are met.

Under the theme "Unlearn Relearn: What it means to be human," the two main topics of this year's WISE event, held in Qatar's capital Doha on Nov. 19-21, were ensuring equality in education through technology and entrepreneurship.

It was not surprising to see technology firms, especially artificial intelligence experts, showing the most interest in the event, held in line with the demands of the 21st century with the participation of more than 3,000 experts and celebrities from around the world.

Mind over matter

While the event touched on issues regarding educational technology, speeches were made on how developments related to the mind, such as neuroscience, affected education and how methods of education changed based on personality and creativity. In one of the most noteworthy presentations in the three-day forum, Armenian President Armen Sargsyan, who is also a physicist, described the relationship between quantum physics and human development. "Our communications are moving at the speed of light. We now live in the quantum world. Startup culture and personal creativity will be very strengthened." Meanwhile, Max Tegmark, a Swedish-American cosmologist and the president of the U.S.-based Future of Life, also co-founded by Elon Musk, delivered a remarkable and exemplary speech on artificial intelligence.

How will children be happy?

Tegmark stressed the need to identify acceptable and unacceptable points in using artificial intelligence as soon as possible and asked regarding the issues of global justice and equality of education: "How will artificial intelligence affect the interests of the weak and powerful?" He emphasized that artificial intelligence could solve or create problems and suggested, "We should ask the students what they want to happen in the future instead of asking what will happen in the future." An important issue that Tegmark highlighted was how happy students would be in the digital world of the future. "In a world where artificial intelligence will reign, we need to make sure that students are learning the vital skills necessary for their happiness and development," Tegmark noted. He further told the students about the acceptable and beneficial aspects of artificial intelligence and said that the future would be brighter.

In many of WISE 2019's sessions, topics such as how technology will change education as well as the scale-up processes of ventures and startups that have contributed to education were also discussed. Speakers and participants, especially from Africa and Asia, talked about how they created miracles in areas where children's educational opportunities were limited by combining entrepreneurial spirit with technology.

*** article 2 ***

Who wrote 'Henry VIII'?

Artificial intelligence has put an end to a discussion regarding British playwright William Shakespeare, one of the greatest names in literary history. Scholars know that part of Shakespeare's 1613 play "Henry VIII" was written by John Fletcher, but it was not possible to determine exactly which parts belonged to which author. Czech artificial intelligence expert Petr Plechac ran the works of Shakespeare, Fletcher and other contemporary writers through an algorithm to identify the differences in the authors' styles. Plechac then showed the algorithm "Henry VIII" and found the chapters Fletcher contributed to. The analysis revealed that Fletcher wrote plays for the acting company King's Men in 1616, of which Shakespeare was also a member.

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Artificial intelligence: The rising star of education - Daily Sabah

Asia-Pacific Digital Transformation Markets 2019-2024: Focus on 5G, Artificial Intelligence, Internet of Things, and Smart Cities -…

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DUBLIN--(BUSINESS WIRE)--The "Digital Transformation Asia Pacific: 5G, Artificial Intelligence, Internet of Things, and Smart Cities in APAC 2019 - 2024" report has been added to ResearchAndMarkets.com's offering.

This report identifies market opportunities for deployment and operations of key technologies within the Asia Pac region.

While the biggest markets China, Korea, and Japan often get the most attention, it is important to also consider the fast growing ASEAN region including Indonesia, Malaysia, Philippines, Singapore, Thailand, Brunei, Laos, Myanmar, Cambodia, and Vietnam. In fact, many lessons learned in leading Asia Pac countries will be applied to the ASEAN region.

By way of example, H3C Technologies Co. is planning to offer a comprehensive digital transformation platform within Thailand that includes core cloud and edge computing, big data, interconnectivity, information security, IoT, AI, and 5G solutions.

From predicting what will happen with 5G technology in the next few years to identifying how 5G will transform business, Digital Transformation Asia Pacific: 5G, Artificial Intelligence, Internet of Things, and Smart Cities in APAC 2019 - 2024 is must-have research for any ICT company looking to expand business within the region. This report represents the most comprehensive research available focused on the role and impact of 5G, AI, and IoT technologies in Asia Pac. It also provides analysis about how these technologies will have a positive feedback loop effect with smart cities.

The AI segment is currently very fragmented, characterized with most companies focusing on silo approaches to solutions. Longer-term, researchers see many solutions involving multiple AI types as well as integration across other key areas such as the Internet of Things (IoT) and data analytics. AI is expected to have a big impact on data management. However, the impact goes well beyond data management as we anticipate that these technologies will increasingly become part of every network, device, application, and service.

Data analytics at the edge of networks is very different than centralized cloud computing as data is contextual (example: collected and computed at a specific location) and may be processed in real-time (e.g. streaming data) via big data analytics technologies. Edge Computing represents an important ICT trend in which computational infrastructure is moving increasingly closer to the source of data processing needs. This movement to the edge does not diminish the importance of centralized computing such as is found with many cloud-based services. Instead, computing at the edge offers many complementary advantages including reduced latency for time sensitive data, lower capital costs and operational expenditures due to efficiency improvements.

For both core cloud infrastructure and edge computing equipment, the use of AI for decision making in IoT and data analytics will be crucial for efficient and effective decision making, especially in the area of streaming data and real-time analytics associated with edge computing networks. Real-time data will be a key value proposition for all use cases, segments, and solutions. The ability to capture streaming data, determine valuable attributes, and make decisions in real-time will add an entirely new dimension to service logic. In many cases, the data itself, and actionable information will be the service.

Many industry verticals will be transformed through AI integration with enterprise, industrial, and consumer product and service ecosystems. It is destined to become an integral component of business operations including supply chains, sales, and marketing processes, product and service delivery and support models. The term for AI support of IoT (or AIoT) is just beginning to become part of the ICT lexicon as the possibilities for the former adding value to the latter are only limited by the imagination.

AI, IoT, and 5G will provide the intelligence, communications, connectivity, and bandwidth necessary for highly functional and sustainable smart cities market solutions. The combination of these technologies are poised to produce solutions that will dramatically transform all aspects of ICT and virtually all industry verticals undergoing transformed through AI integration with enterprise, industrial, and consumer product and service ecosystems. The convergence of these technologies will attract innovation that will create further advancements in various industry verticals and other technologies such as robotics and virtual reality.

In addition, these technologies are destined to become an integral component of business operations including supply chains, sales, and marketing processes, product and service delivery and support models. There will be a positive feedback loop created and sustained by leveraging the interdependent capabilities of AI, IoT, and 5G (e.g. a term coined as AIoT5G). For example, AI will work in conjunction with IoT to substantially improve smart city supply chains. Metropolitan area supply chains represent complex systems of organizations, people, activities, information, and resources involved in moving a product or service from supplier to customer.

Smart cities in particular represent a huge market for Asia Pac digital transformation through a combination of solutions deployed urban environments that are poised to transform the administration and support of living and working environments. Accordingly, Information and Communications Technologies (ICT) are transforming at a rapid rate, driven by urbanization, industrialization of emerging economies, and the specific needs of various smart city initiatives. Smart city development is emerging as a focal point for growth drivers in several key ICT areas including 5G, AI, IoT, and the convergence of AI and IoT known as the Artificial Intelligence of Things or simply AIoT.

Sustainable smart city technology deployments depend upon careful planning and execution as well as monitoring and adjustments as necessary. For example, feature/functionality must be blended to work efficiently across many different industry verticals as smart city address the needs of disparate market segments with multiple overlapping and sometimes mutually exclusive requirements. This will stimulate the need for both cross-industry coordination as well as orchestration of many different capabilities across several important technologies.

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For more information about this report visit https://www.researchandmarkets.com/r/w67926

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Opinion | The artificial intelligence frontier of economic theory – Livemint

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Until recently, two big impediments limited what research economists could learn about the world with the powerful methods that mathematicians and statisticians, starting in the early 19th century, developed to recognize and interpret patterns in noisy data: Data sets were small and costly, and computers were slow and expensive. So it is natural that as gains in computing power have dramatically reduced these impediments, economists have rushed to use big data and artificial intelligence to help them spot patterns in all sorts of activities and outcomes.

Data summary and pattern recognition are big parts of the physical sciences as well. The physicist Richard Feynman once likened the natural world to a game played by the gods: You dont know the rules of the game, but youre allowed to look at the board from time to time, in a little corner, perhaps. And from these observations, you try to figure out what the rules are."

Feynmans metaphor is a literal description of what many economists do. Like astrophysicists, we typically acquire non-experimental data generated by processes we want to understand. The mathematician John von Neumann defined a game as (1) a list of players; (2) a list of actions available to each player; (3) a list of how pay-offs accruing to each player depend on the actions of all players; and (4) a timing protocol that tells who chooses what when. This elegant definition includes what we mean by a constitution" or an economic system": a social understanding about who chooses what when.

Like Feynmans metaphorical physicist, our task is to infer a game"which for economists is the structure of a market or system of marketsfrom observed data.

But then we want to do something that physicists dont: Think about how different games" might produce improved outcomes. That is, we want to conduct experiments to study how a hypothetical change in the rules of the game or in a pattern of observed behaviour by some players" (say, government regulators or a central bank) might affect patterns of behaviour by the remaining players.

Thus, structural model builders" in economics seek to infer from historical patterns of behaviour a set of invariant parameters for hypothetical (often historically unprecedented) situations in which a government or regulator follows a new set of rules. The government has strategies, and the people have counter-strategies, according to a Chinese proverb.

Structural models" seek such invariant parameters in order to help regulators and market designers understand and predict data patterns under historically unprecedented situations. The challenging task of building structural models will benefit from rapidly developing branches of artificial intelligence (AI) that dont involve more than pattern recognition. A great example is AlphaGo. The team of computer scientists that created the algorithm to play the Chinese game Go combined a suite of tools that had been developed by specialists in statistics, simulation, decision theory, and game theory communities.

Many of the tools used in just the right proportions to make an outstanding artificial Go player are also economists bread-and-butter tools for building structural models to study macroeconomics and industrial organization.

Of course, economics differs from physics in a crucial respect. Whereas Pierre-Simon Laplace regarded the present state of the universe as the effect of its past and the cause of its future," the reverse is true in economics: what we expect other people to do later causes what we do now.

We typically use personal theories about what other people want to forecast what they will do. When we have good theories of other people, what they are likely to do determines what we expect them to do. This line of reasoning, sometimes called rational expectations", reflects a sense in which the future causes the present" in economic systems. Taking this into account is at the core of building structural" economic models.

For example, I will join a run on a bank if I expect that other people will. Without deposit insurance, customers have incentives to avoid banks vulnerable to runs. With deposit insurance, customers dont care and wont run. On the other hand, if governments insure deposits, bank owners will want their assets to become as big and as risky as possible, while depositors wont care.

There are similar trade-offs with unemployment and disability insuranceinsuring people against bad luck may weaken their incentive to provide for themselvesand for official bailouts of governments and firms.

More broadly, my reputation is what others expect me to do. I face choices about whether to confirm or disappoint those expectations. Those choices will affect how others behave in the future. Central bankers think about that a lot.

Like physicists, we economists use models and data to learn. We dont learn new things until we appreciate that our old models cannot explain new data. We then construct new models in light of how their predecessors failed.

This explains how we have learned from past depressions and financial crises. And with big data, faster computers and better algorithms, we might see patterns where once we heard only noise.

*Thomas J. Sargent is professor of economics at New York University and senior fellow at the Hoover Institution

2019/project syndicate

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Opinion | The artificial intelligence frontier of economic theory - Livemint

Seminar – Artificial Intelligence and its Impact on Young People – Council of Europe

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By its present and future impact on social life and organisation or by its reliance on young people to programme and fine-tune AI technologies, AI is very closely related to young people. Yet, there is relatively little research and information about how AI will impact on young people as young citizens in transition to autonomy regarding their well-being, possibilities to participate and shape society and their access to rights, including social rights.

The seminars programme will explore the issues, role and possible contributions of the youth sector to ensure that AI is responsibly used in democratic societies and that young people have a say about matters that concern their present and future.The seminar will bring together some 50 youth leaders and experts in AI from the business and academic sectors.

More info, including the programme, at https://www.coe.int/en/web/youth/artificial-intelligence.

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Seminar - Artificial Intelligence and its Impact on Young People - Council of Europe

Triple your CX impact with artificial intelligence and these five tactics – CXNetwork

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A practical guide with guest presenters and case studies from Microsoft and Sonos.

It is not enough to simply claim to be customer obsessed. In a climate where a moment of inconvenience could be enough to push customers to switch to your competitor, brands have no choice but to deliver what customers want. To do this with accuracy, brands need to consistently plug themselves into various sources of customer feedback.

But the reality is 91 per cent customer feedback is not properly used today, with many businesses overwhelmed by the task of processing the high volumes of insights and the soaring costs when deployed at scale.

This webinar, featuring case studies from the likes of Microsoft and Sonos, is a step-by-step guide on what it takes to drive value from unstructured CX feedback, providing insights on the set-up needed to allow text analytics to thrive.

Attend this webinar for practical insights to apply in your business on:

Frank Buckler, PhD., CX Pioneer, Book Author, Keynote Speaker and Founder & CEO Success Drivers

Rajul Jain, PhD., Senior Research ManagerMicrosoft

David Feick, PhD,Former Head of Customer InsightsSonos

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Triple your CX impact with artificial intelligence and these five tactics - CXNetwork

BioSig Technologies Announces New Collaboration on Development of Artificial Intelligence Solutions in Healthcare – GlobeNewswire

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Westport, CT, Dec. 03, 2019 (GLOBE NEWSWIRE) --

The Company partners with Reified Capital, a provider of advanced artificial intelligence-focused technical advisory services to the private sector

Collaboration to focus on machine learning and artificial intelligence solutions for healthcare

Initial solutions to be centered on BioSigs core competencies in electrophysiology

BioSig Technologies, Inc. (NASDAQ: BSGM) (BioSig or the Company), a medical technology company developing a proprietary biomedical signal processing platform designed to improve signal fidelity and uncover the full range of ECG and intra-cardiac signals, today announced that the Company entered into a technical collaboration with Reified Capital, a provider of advanced artificial intelligence-focused technical advisory services to the private sector. Reified was co-founded by Dr. Alexander D. Wissner-Gross and Timothy M. Sullivan, the founders of Gemedy.

The new collaboration with Cambridge, Massachusetts-based Reified will focus on developing a foundational artificial intelligence platform on the basis of integrated healthcare datasets, beginning with ECG and EEG data acquired by BioSigs first product, PURE EP(tm) System - a novel real-time signal processing platform engineered to provide electrophysiologists with high fidelity cardiac signals. Electrophysiology focused technological solutions developed under the terms of this collaboration will be integrated into the PURE EP(tm) technology platform. Reified is led by Harvard- and MIT-trained computer scientist and physicist Dr. Wissner-Gross, an award-winning computer scientist, physicist, entrepreneur and author. Technical expertise that the Reified team is planning to bring to the project includes data analysis, algorithmic modeling and development.

Integration of AI can open new avenues for improved diagnosis and more effective therapy delivery for bioelectronic medicine in particular and healthcare in general. We are thrilled to partner with Alex and his outstanding team, and look forward to working with them on developing world-class artificial intelligence and machine learning solutions, which, we believe, will benefit a worldwide physician audience, commented Kenneth L Londoner, Chairman and CEO of BioSig Technologies, Inc.

The application of modern AI and machine learning techniques to electrophysiology presents one of the most promising healthcare opportunities of our time, said Dr. Wissner-Gross. We look forward to our forthcoming collaboration with BioSig Technologies.

On November 21, 2019 the Company announced that it commenced patient enrollment in its first clinical trial for the PURE EP(tm) System.

About Reified CapitalReified Capital, LLC is a provider of advanced artificial intelligence-focused technical advisory services to the private sector. Reifieds areas of expertise include machine learning, data analysis, modeling and simulation, cybersecurity, knowledge management, cyber-physical systems, and autonomous systems.

About BioSig TechnologiesBioSig Technologies is a medical technology company developing a proprietary biomedical signal processing platform designed to improve the electrophysiology (EP) marketplace (www.biosig.com). Led by a proven management team and a veteran Board of Directors, BioSig Technologies is preparing to commercialize its PURE EP(tm) System. The technology has been developed to address an unmet need in a large and growing market.The Companys first product, PURE EP(tm) System is a computerized system intended for acquiring, digitizing, amplifying, filtering, measuring and calculating, displaying, recording and storing of electrocardiographic and intracardiac signals for patients undergoing electrophysiology (EP) procedures in an EP laboratory. The system is indicated for use under the supervision of licensed healthcare practitioners who are responsible for interpreting the data. This novel cardiac signal acquisition and display system is engineered to assist electrophysiologists in clinical decision-making during electrophysiology procedures in patients with abnormal heart rates and rhythms. BioSigs ultimate goal is to deliver technology to improve upon catheter ablation treatments for the prevalent and potentially deadly arrhythmias, Atrial Fibrillation and Ventricular Tachycardia. BioSig has partnered with Minnetronix on technology development and received FDA 510(k) clearance for the PURE EP(tm) System in August 2018.

Forward-looking Statements This press release contains forward-looking statements. Such statements may be preceded by the words intends, may, will, plans, expects, anticipates, projects, predicts, estimates, aims, believes, hopes, potential or similar words. Forward- looking statements are not guarantees of future performance, are based on certain assumptions and are subject to various known and unknown risks and uncertainties, many of which are beyond the Companys control, and cannot be predicted or quantified and consequently, actual results may differ materially from those expressed or implied by such forward-looking statements. Such risks and uncertainties include, without limitation, risks and uncertainties associated with (i) our inability to manufacture our products and product candidates on a commercial scale on our own, or in collaboration with third parties; (ii) difficulties in obtaining financing on commercially reasonable terms; (iii) changes in the size and nature of our competition; (iv) loss of one or more key executives or scientists; and (v) difficulties in securing regulatory approval to market our products and product candidates. More detailed information about the Company and the risk factors that may affect the realization of forward-looking statements is set forth in the Companys filings with the Securities and Exchange Commission (SEC), including the Companys Annual Report on Form 10-K and its Quarterly Reports on Form 10-Q. Investors and security holders are urged to read these documents free of charge on the SECs website at http://www.sec.gov. The Company assumes no obligation to publicly update or revise its forward-looking statements as a result of new information, future events or otherwise.

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BioSig Technologies Announces New Collaboration on Development of Artificial Intelligence Solutions in Healthcare - GlobeNewswire

Amazon makes three major AI announcements during re:Invent 2019 – AI News

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Amazon has kicked off its annual re:Invent conference in Las Vegas and made three major AI announcements.

During a midnight keynote, Amazon unveiled Transcribe Medical, SageMaker Operators for Kubernetes, and DeepComposer.

Transcribe Medical

The first announcement well be talking about is likely to have the biggest impact on peoples lives soonest.

Transcribe Medical is designed to transcribe medical speech for primary care. The feature is aware of medical speech in addition to standard conversational diction.

Amazon says Transcribe Medical can be deployed across thousands of healthcare facilities to provide clinicians with secure note-taking abilities.

Transcribe Medical offers an API and can work with most microphone-equipped smart devices. The service is fully managed and sends back a stream of text in real-time.

Furthermore, and most importantly, Transcribe Medical is covered under AWS HIPAA eligibility and business associate addendum (BAA). This means that any customer that enters into a BAA with AWS can use Transcribe Medical to process and store personal health information legally.

SoundLines and Amgen are two partners which Amazon says are already using Transcribe Medical.

Vadim Khazan, president of technology at SoundLines, said in a statement:

For the 3,500 health care partners relying on our care team optimisation strategies for the past 15 years, weve significantly decreased the time and effort required to get to insightful data.

SageMaker Operators for Kubernetes

The next announcement is Amazon SageMaker Operators for Kubernetes.

Amazons SageMaker is a machine learning development platform and this new feature lets data scientists using Kubernetes train, tune, and deploy AI models.

SageMaker Operators can be installed on Kubernetes clusters and jobs can be created using Amazons machine learning platform through the Kubernetes API and command line tools.

In a blog post, AWS deep learning senior product manager Aditya Bindal wrote:

Customers are now spared all the heavy lifting of integrating their Amazon SageMaker and Kubernetes workflows. Starting today, customers using Kubernetes can make a simple call to Amazon SageMaker, a modular and fully-managed service that makes it easier to build, train, and deploy machine learning (ML) models at scale.

Amazon says that compute resources are pre-configured and optimised, only provisioned when requested, scaled as needed, and shut down automatically when jobs complete.

SageMaker Operators for Kubernetes is generally available in AWS server regions including US East (Ohio), US East (N. Virginia), US West (Oregon), and EU (Ireland).

DeepComposer

Finally, we have DeepComposer. This one is a bit more fun for those who enjoy playing with hardware toys.

Amazon calls DeepComposer the worlds first machine learning-enabled musical keyboard. The keyboard features 32-keys and two octaves, and is designed for developers to experiment with pretrained or custom AI models.

In a blog post, AWS AI and machine learning evangelist Julien Simon explains how DeepComposer taps a Generative Adversarial Network (GAN) to fill in gaps in songs.

After recording a short tune, a model for the composers favourite genre is selected in addition to setting the models parameters. Hyperparameters are then set along with a validation sample.

Once this process is complete, DeepComposer then generates a composition which can be played in the AWS console or even shared to SoundCloud (then its really just a waiting game for a call from Jay-Z).

Developers itching to get started with DeepComposer can apply for a physical keyboard for when they become available, or get started now with a virtual keyboard in the AWS console.

Interested in hearing industry leaders discuss subjects like this? Attend the co-located 5G Expo, IoT Tech Expo, Blockchain Expo, AI & Big Data Expo, and Cyber Security & Cloud Expo World Series with upcoming events in Silicon Valley, London, and Amsterdam.

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Amazon makes three major AI announcements during re:Invent 2019 - AI News

The impact of artificial intelligence on humans – Bangkok Post

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Will the machines take control? Not if we focus on developing the skills that AI cannot replicate

From Siri, the virtual assistant in Apple mobile devices, to self-driving cars, artificial intelligence (AI) is progressing rapidly, outperforming humans at some tasks. As with the majority of the changes happening globally, there will be positive and negative impacts as AI continues to shape the world we live in. Every single one of us will have to reckon with our ability to balance the human way of life and the transition to the AI cosmos.

According to a report by the technology research group IDC, spending on AI is expected to reach US$46 billion by 2020 with no signs of slowing down. AI is definitely on the rise in both business and life in general. The question is, will humans eventually lose control as machines become super-intelligent? Unforeseen consequences are likely whenever a new technology is introduced, and AI is no exception.

It is obvious that AI is a disruptive technology, revolutionising businesses and bringing new approaches to decision-making based on measurable outcomes. It can enhance efficiency and production volume, while cultivating new opportunities for revenue to flourish.

We have to face the fact that humans arent always the best at tedious and repetitive tasks, whereas machines dont get tired or complain. This is where AI is starting to play an important role: freeing humans from drudgery so that we can focus on interpersonal relations and more creative work.

Is it true that robots and AI will destroy jobs? That is something we hear quite often. Everyone has their own opinions about the pluses and minuses of the technology. However, if you think about it in a positive way, AI is actually encouraging evolution in the job market, as candidates come to realise they need to develop new types of skills in order to secure fulfilling work amid rapid technological advancements.

The truth is, people will still work, but they will work better with the assistance of AI. In other words, the unparalleled duo of human and machines coming together will soon turn into the new normal in the workforce. Already there are many routine white-collar tasks such as answering emails, data entry and related responsibilities that can be handled by intelligent assistants if businesses are prepared to recognise the potential.

Away from the office, we can see that more and more people are living in smart homes or equipping their residences with hardware and software that can reduce energy usage and provide better security, among other benefits. AI is also having a profound impact on healthcare, leading to improved diagnosis and treatment of many conditions, leading to healthier citizens and healthier economies.

The ability of technology to answer more questions, solve more problems and innovate in previously unimaginable ways goes beyond the capacity of the human brain for better or worse, depending on how one perceives this subject. The elevation of technology will allow individuals to focus on higher functions, with improved quality living standards.

Challenges will continue to come and go, but the biggest one will be for humans to find their place in this new world, by staking a claim to all the activities that call for their unique human abilities.

A study by PwC forecast that 7 million existing jobs will be replaced by AI in the UK from 2017 to 2037. However, 7.2 million new jobs could be created as well. Yes, many humans are wondering whether they will be part of the 7 million or part of the 7.2 million. Living with this uncertainty is a struggle for many given the transformative impact of AI on our society and the economic, political, legal and regulatory implications that need to be prepared for.

At its core, AI is about imitating human thought processes. Human beings essentially have to teach AI the how-to of practically everything, but AI cannot be taught how to be empathic, something only humans can do. It is one thing to allow machines to predict and help solve problems; it is another to purposely make them control the ways in which people will be made redundant.

Therefore, it is vital for us to be more sceptical of AI and recognise its shortcomings together with its potential. By focusing more on training people in soft skills, starting in school, we can help produce a greater number of employable humans who will be able to work alongside machines to deliver the best of both worlds.

Arinya Talerngsri is Chief Capability Officer and Managing Director at SEAC - Southeast Asias Lifelong Learning Center. She can be reached by email at arinya_t@seasiacenter.com or https://www.linkedin.com/in/arinya-talerngsri-53b81aa. Explore and experience our lifelong learning ecosystem today at https://www.yournextu.com

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The impact of artificial intelligence on humans - Bangkok Post

What Jobs Will Artificial Intelligence Affect? – EHS Today

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Its impossible to ignore the fact that advances in artificial intelligence (AI) is changing how we do our current jobs. But what has captured even more interest is how the increasing capability of this technology will affect future jobs.

In trying to determine the specific effects on which jobs and which sectors, many studies have been undertaking but its hard to capture this information.

To add further research to this topic theBrookings Institutionissued a reporton Nov. 20, presenting a new method of analyzing this issue.

By employing a novel technique developed by Stanford University Ph.D. candidate Michael Webb, the new report establishes jobexposure levelsby analyzing the overlap between AI-related patents and job descriptions, the report said. In this way, the research homes in on the impacts of AI specifically and does it by studying empirical statistical associations as opposed to expert forecasting.

The technique Webb used was able to quantify the overlap between thetext of AI patents and the text of job descriptions that can identify the kinds of tasks and occupations likely to be affected by particular AI capabilities.

We find that Webbs AI measures depict a very different range of impacts on the workforce than those from robotics and software. Where the robotics and software that dominate the automation field seem to mostly to involve routine or rule-based, tasks and thus lower-or-middle pay roles, AIs distinctive capabilities suggest that high-wage occupations will be some of the most exposed, the report noted.

Using patents are useful here because they provide timely predictions of the commercial relevance of specific technological applications. Occupational descriptions are also useful because they provide detailed insight into economic activities at the scale of the whole economy."

Findings

Based on these conclusions the report says that we have a lot to learn about AI, and that these are extremely early days in our inquiries.Whats coming may not resemble what we have experienced or expect to experience.

Society should get ready for a very different pattern of impact than those that accompaniedthe broad adoption of robotics and software. While the last waves of automation led to increases of inequity and wage polarization, its not clear that AI will have the same effects.

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What Jobs Will Artificial Intelligence Affect? - EHS Today

India wants to be on the cusp of artificial intelligence but lacks the laws to back it up – Business Insider India

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Machines are only set to get smarter as more applications of AI come to light. Research around AI has grown by seven-fold since 1996, according to a study by Tata Communications Services (TCS). Yet, India lags far behind.

We have one of the best technology talent pools in the world. If we fast-track and balance our progress on innovation, IP management, and entrepreneurship, we can realize the potential to become a global AI powerhouse, said Santosh Mohanty, the Global Head for Components Engineering Group at TCS.

It's hardly surprising since out of 22,000 PhD researchers around the world, only 386 are from India, according to the Global AI Talent Report 2018.

Lacking in laws

Until 2002, computer-related inventions were deemed ineligible for patents. Even though that has now changed, the existing laws pose their own challenges like being too ambiguous and vague.

For instance, an algorithm can't be patented until it has a practical application or use case even if it's solving a problem behind the scenes.

All of them, except for IBM, are focused on computer vision a form of machine perception that used deep learning to identify objects, videos, and images. IBM, on the other hand, is focused on natural language processing like chatbots.

Alphabet, Google's parent company, is second only to the Chinese tech giant Baidu in owning portfolios of patents related to deep learning.

See also:India is all set to deploy facial recognition but there is no law in place to keep a check

Here's what global tech CEOs have to say about India's data protection laws

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India wants to be on the cusp of artificial intelligence but lacks the laws to back it up - Business Insider India

Artificial intelligence use ‘must be transparent and accountable’ – The Irish News

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Companies planning on using artificial intelligence (AI) in their work should ensure it is transparent and accountable, the Information Commissioners Office (ICO) has said.

The UKs data watchdog has published its first draft regulatory guidance into the use of AI in collaboration with the Alan Turing Institute.

It warned that the public are still uneasy over the use of computer software to make decisions previously made by humans, so any systems must be transparent and provide clear explanations of decisions made.

The guidance identified four key principles for AI: transparency, accountability, consideration of context and reflection on impacts.

The ICO said it had found that more than half of people remain concerned about machines making complex, automated decisions about them.

The potential for AI is huge, but its implementation is often complex, which makes it difficult for people to understand how it works, said Simon McDougall, the ICOs executive director of technology and innovation.

And when people dont understand a technology, it can lead to doubt, uncertainty and mistrust.

Last year, ministers published the AI Sector Deal, a joint venture between the Government and industry to try to push the UK to the forefront of emerging technology such as AI.

The ICO and the Alan Turing Institutes draft guidance comes after an independent review by Professor Dame Wendy Hall and also the Government urged both parties to provide input on the subject.

The guidance said the four main principles are rooted in the General Data Protection Regulations (GDPR), EU-wide laws introduced last year to hand greater control over personal data to individuals.

The principles say organisations should ensure decisions made by AI are obvious and appropriately explained to people in a meaningful way.

On accountability, it says firms should ensure appropriate oversight of AI decision systems, and be answerable to others.

It also called for companies to reflect on the impact their AI use would have by ensuring they ask and answer questions about the ethical purposes and objectives of your AI project at the initial stages of formulating the problem and defining the outcome.

The ICO said it will consult on its guidance until January 24, and Mr McDougall encouraged industry experts to respond to its draft before then.

The decisions made using AI need to be properly understood by the people they impact, he said.

This is no easy feat and involves navigating the ethical and legal pitfalls around the decision-making process built in to AI systems.

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Artificial intelligence use 'must be transparent and accountable' - The Irish News