1 lsk will allow you to vote for 33 delegates, pickupcoin.
4 lsk will allow you vote for all 101.
https://help.lisk.io/voting-and-delegates/how-much-does-it-cost-to-vote-for-delegates

.............................

How Artificial Intelligence Estimates Obesity Levels From Google Map Photos.


The research suggests that the predictive power for obesity rates came from the presence of natural features such as lakes and parks detected by the neural network.





In the study, the features extracted by the neural network were able to explain around 60% of the variation in obesity levels for the ground-truth obesity data from a survey known as Behavioral Risk Factor Surveillance System data.

Analysis of satellite imagery using modern deep learning techniques is an exciting path of research which can help save billions in census expenses. More importantly, it can help sociologists remove implicit biases from sampling techniques which may disadvantage minority communities.

William Falcon.

Read more here.

LISK Weekly Roundup.

Hello everybody. The Lisk project and it's enthusiasts are always busy, and this week past has certainly been no exception.

Seeing is believing, so here is a recap of the highlights and interesting items from the past week on the Lisk subreddit and beyond.....


Lisk prize packs arrive at their destinations!
A few weeks back we held the first ever Lisk Meme contest on Reddit for the chance to win some merchandise directly from Lisk Team.
This was a fiercely contested competition, as we have quite a bunch of wags and wits within the community.
The winners ended up being  https://www.reddit.com/r/Lisk/comments/9esvpb/memecontest/ .........  https://www.reddit.com/r/Lisk/comments/9em84w/boardroom_meeting_memecontest/ ........ and https://www.reddit.com/r/Lisk/comments/9eygkh/why_it_was_so_hard_to_develop_core_10_memecontest/.
u/jandverg, one of the winners posted a thread to let us have a look at his recently arrived prize haul. You can see that **[here](https://www.reddit.com/r/Lisk/comments/9kr1ca/ive_got_mail_thanks_a_bunch_lisk/ Another winner, u/frakilk, chipped in on the thread to say he also "received this lovely prize and it is glorious to behold".
The other prize winner, u/jackthelisker commented "Wow I can’t wait to get this", so it seems we will soon have a full house when it comes to prize winners.
Roll on the next contest is all I can say; more memes and more prizes!


Lisk London meetup recap!
I would like to highlight once more a Medium post I have written containing my personal feelings after the LISK meetup in London (Sep 27th 2018). You will not find any earth-shattering revelations within it, but what you will read are my honest opinions and an outline of the events that I have composed from my notes.  For those of you who could not make the events my aim with this is to make you feel like you did.  You can read it here.......  https://medium.com/@LiskHighlights/lisk-london-meetup-report-8ad0c7862469


Lisk videos around the world: SmashingBloke Crypto!
South East, England crypto Youtuber "SmashingBloke Crypto" released a new video titled "SmashingBloke Talks LISK Cryptocurrency". SmashingBloke who describes himself as a "random bloke in love with Cryptocurrency and the Blockchain", and "not providing financial advice but aims to keep you informed". With a subscriber count of 24,000, SmashingBloke had a lot of good things to say about the project, and basically he thinks it is "great and has good potentional due to its ease of use". You can watch the entire video of SmashingBloke Crypto's analysis here......https://www.youtube.com/watch?v=4TPZdNfH368)  
Don't forget to give the Youtube channel of the original poster a thumbs up.


LISK USA have released another informative report!  
This week, Lisk USA warmed us up with some of the hottest Lisk news while we continue our onward trudge towards winter! It is a whopper of a report this time round seeing as it contains coverage of my review of the LISK London Meetup, a preview of the LISK Berlin Meetup,  an update On The Pioneer’s Vault, how Lisk HQ Needs Your Help with a survey,  the Global Lisk Market , the First Lisk Monthly Vlog, and the latest "Future in Focus" blog post featuring Brikit. You can read about all these stories in this week’s The State of Lisk Report – Ep. 21, right here..... http://www.liskusa.io/the-state-of-lisk-report-ep-21/


LISK offers a mobile way to manage your tokens!
LISK HQ released their first smartphone app - the Lisk Mobile Wallet.
The use of this app will allow access your account from wherever you are. The mobile app allows you to set up your new address, store, send and receive your tokens as well as access the details of all your previous transactions.
Enjoy the app on iOS and Android devices and make sure to watch LISK mobile Lead Developer, Ali Haghighatkhah, explain HQ's mobile strategy.....  https://www.youtube.com/watch?v=O3enAfHVitA
Android: https://play.google.com/store/apps/details?id=io.lisk.mobile
iOS: https://itunes.apple.com/us/app/lisk/id1436809559?ls=1&mt=8
Also Hq have released an expansive blog post titled "Everything You Need To Know About Lisk Mobile" here..... https://blog.lisk.io/everything-you-need-to-know-about-lisk-mobile-785b798ac38f


LISK Delegate Income Monitor tool released!
LISK community member /u/Lemiiii popped up to share his new creation, the DIM (Delegate Income Monitor). DIM collects data from all blocks forged by a delegate in a certain time period, including the value per block in BTC/USD/EUR at the time of forging.
It should come in really handy for delegates who need administrative information regarding their income taxes, or people who are interested in stats.
For ease of use results will be exported to CSV.
You can check it out here.... https://github.com/Lemii/dim on Python or here as an executable..... https://github.com/Lemii/dim/releases/tag/v1.1.2  
You can also find a video of the tool in action here.... https://www.youtube.com/watch?v=mW54ZHsf-SU
Keep up the good work Lemiiii.


LISK videos around the world: Encyklopedia Kryptowalut!
Polish crypto Youtuber "Encyklopedia Kryptowalut" released a new Polish language video titled "#LISK #EOS WIELKIE STARCIE KRYPTOWALUT",  which roughly translated means "#LISK #EOS the great cryptocurrency battle". So no prizes for guessing what the content of this vid is going to be.
Encyklopedia Kryptowalut describes himself as a "passionate about cryptocurreny and blockchain technology; you will regularly find me reviewing many different cryptocurrencies, and you will learn how to start your adventure in trading cryptocurrencies!" In addition", he continues, "you will also get a weekly dose of information from the world of crypto!"
You can watch the entire video of Encyklopedia Kryptowalut's head -to-head analysis here..... https://www.youtube.com/watch?v=UxPZ9IbEpa0)
Don't forget to give the Youtube channel of the original poster a thumbs up. I would welcome any input from speakers of the aforementioned language on the content of the video also.

Whew, that's a lot of action involving the Lisk project!
So that's it for another roundup of the past weeks highlights; I hope you enjoyed them.

These highlight posts also go out daily on the….

LISK Highlights exclusive Telegram group: https://t.me/LiskHighlightsLisk

LISK Highlights Twitter : https://twitter.com/HighlightsLisk

LISK Highlights Medium: https://medium.com/@LiskHighlights

The highlights are also included in my weekly roundup on the bitcoin talk forum's LISK thread and r/CryptoCurrency, so keep an eye out for them on these outlets also.

Keep the faith Liskers! 👍

The piece below does not factor in the GNY or LML projects as they are still in development, but nevertheless the piece is an interesting read.  




Do you need custom development, API software, or startup acquisition?


Companies can't turn a blind eye to machine learning anymore, as it is so powerful at certain tasks. Answer these four questions to understand whether your business needs machine learning, and, if so, how you can adopt this technology.

AI and machine learning are making a significant impact on multiple industries and changing the landscape of our society. These are not just hot trends; they are here to stay.

Still, machine learning is not a magical solution that applies to every single use case. So often companies embark on an AI development journey without a clear understanding of the value it should bring to their business. As a result, many data science and machine learning projects don’t have clear KPIs and simply drain R&D budgets.

That’s why managers have to ask themselves four key questions to justify the need for machine learning development.


There are three strategies for companies to adopt machine learning.

1. Build a machine learning solution from scratch.
This is probably the riskiest option, as only an estimated 10 percent of machine learning R&D projects succeed. It is still the most viable option for some narrow machine learning cases in specific domains.

2. Explore machine learning with cloud engines from Google, Amazon and the like.
This is the easiest way to gain access to machine learning technology. On the downside, you cannot freely configure system parameters. For instance, Amazon uses only logistic regression models, so is practically useless if you need to use different models for a particular project. That means, more sophisticated machine learning projects require custom solutions development. Furthermore, 80 percent of machine learning development is still about big data engineering. This is something you cannot delegate to Amazon.

3. Buy a machine learning startup.
This is the most expensive option that suits only big companies.

Data science and machine learning often produce unexpected results and give invaluable insights. This technology is here to stay, and it’s going to evolve at an extremely fast pace. Answering the above questions will help you start your machine learning development journey.


Read the full article here.... https://www.business.com/articles/machine-learning-project-questions/?utm_campaign=coschedule&utm_source=twitter&utm_medium=bigthinkingio

How Artificial Intelligence Can Influence Governance, Risk, and Compliance.

Artificial Intelligence (AI) offers enormous opportunities to businesses. Given the correlation between risk and an organization's objectives, one could easily extrapolate how AI can help bring insight to Governance, Risk, and Compliance (GRC) activities as well.

But, what is AI? As a working definition, AI is the science and engineering of making intelligent machines and computer programs to achieve a goal. It's about creating a computer mind that can think like a human. It's about machines taking action.

One of the most important technological advances of our time is artificial intelligence, and, in particular, machine learning, which is the ability for a machine to keep improving its performance without human involvement to accomplish tasks. Systems can now be taught to perform activities on their own.

The transformative effects of AI will be felt across nearly all industries. The impact on core processes and business models will be enormous, placing further strain on management and implementation.

Known Unknowns
Probably one of the best cases is fraud detection. Algorithms can be written using various stochastic modeling techniques, coding, and data testing. Of course, for machine learning to be successful, it must have quality data. As a result, there is a premium on structuring risk data in such a way to use it as AI input. Conversely, a challenge implicit in machine learning is substantiating its outcomes. As machines "learn," their conclusions may not always yield the desired result. This conceivably makes it difficult for a risk manager to explain the machine's conclusions to executives or a regulator difficult. For example, there may be issues with multicollinearity, lack of data, as well as how the machine deals with outliers, which is common with many risk data, especially if the organization uses external data.

GRC and AI Image 2 This example applies to a typical risk management anecdote of "driving by looking through the rear-view mirror." The shear amount of data aids in the confidence (not just the statistical significance of a model) of AI's output. This is beneficial to many high inherent, intrinsic risks that organizations experience. Malware is an example.

AI can also be used to substantiate conformance. For example, one large financial services company uses AI to help prevent money laundering, thereby assuring AML/BSA compliance.


Read the full article here.... https://www.nasdaq.com/article/how-artificial-intelligence-can-influence-governance-risk-and-compliance-cm894603

The GNY.io telegram group would be a good place to start, wattson  .................  https://t.me/GNYioBlockchain