Fraudulent ICO has learned to identify

[Nikola282828]

Fraudulent ICO has learned to identify with the help of artificial intelligence

Scientists from the University of California, Michigan and Stanford have created an algorithm that is based on deep machine learning is able to detect fraudulent ICO up to 83%. MarkLog wrote about this with reference to the joint communication of the universities.
The researchers downloaded data on 2251 ICO were Nacala 2016. The algorithm has apostoles the lifetime of the project and the change in the price of the cryptocurrency with information about the ICO (whitepaper, information about the founders, the sate of the project, social networks and other data).

The study says that unearthing will allow investors to identify fraudulent ICOS at an early stage and save their money. "We hope that this work will help investors to identify scammers and attract more efforts for the automatic evaluation and analysis of ICO projects," the scientists write

[shinratensei_]

Fraudulent ICO has learned to identify with the help of artificial intelligence

Scientists from the University of California, Michigan and Stanford have created an algorithm that is based on deep machine learning is able to detect fraudulent ICO up to 83%. MarkLog wrote about this with reference to the joint communication of the universities.
The researchers downloaded data on 2251 ICO were Nacala 2016. The algorithm has apostoles the lifetime of the project and the change in the price of the cryptocurrency with information about the ICO (whitepaper, information about the founders, the sate of the project, social networks and other data).

The study says that unearthing will allow investors to identify fraudulent ICOS at an early stage and save their money. "We hope that this work will help investors to identify scammers and attract more efforts for the automatic evaluation and analysis of ICO projects," the scientists write

This was pretty weird. I meant about the total coins in the coinmarketcap was no more than 1.6k but it says more than 2.2k.

But is the algorithm already tested? How many accuracies have been getting the algorithm itself?

This is a system and it can be failed anytime. I meant it doesn't like a good thing for me.

Some scam projects are using fake identities and how they are learning it? I know some scam projects were taking the fake identity from videos on youtube.

[Nunoluck]

Fraudulent ICO has learned to identify with the help of artificial intelligence

Scientists from the University of California, Michigan and Stanford have created an algorithm that is based on deep machine learning is able to detect fraudulent ICO up to 83%. MarkLog wrote about this with reference to the joint communication of the universities.
The researchers downloaded data on 2251 ICO were Nacala 2016. The algorithm has apostoles the lifetime of the project and the change in the price of the cryptocurrency with information about the ICO (whitepaper, information about the founders, the sate of the project, social networks and other data).

The study says that unearthing will allow investors to identify fraudulent ICOS at an early stage and save their money. "We hope that this work will help investors to identify scammers and attract more efforts for the automatic evaluation and analysis of ICO projects," the scientists write

This was pretty weird. I meant about the total coins in the coinmarketcap was no more than 1.6k but it says more than 2.2k.

But is the algorithm already tested? How many accuracies have been getting the algorithm itself?

This is a system and it can be failed anytime. I meant it doesn't like a good thing for me.

Some scam projects are using fake identities and how they are learning it? I know some scam projects were taking the fake identity from videos on youtube.

Is there any best way to know if an ICO is not scam? What is the main indicators? A lot of ICO are coming up. How to know the truth of information team members of an ICO?

[lasencja]

I dont think this is real,algo uses random % and give fake result.

[cryptoalfs76]

Fraudulent ICO has learned to identify with the help of artificial intelligence

Scientists from the University of California, Michigan and Stanford have created an algorithm that is based on deep machine learning is able to detect fraudulent ICO up to 83%. MarkLog wrote about this with reference to the joint communication of the universities.
The researchers downloaded data on 2251 ICO were Nacala 2016. The algorithm has apostoles the lifetime of the project and the change in the price of the cryptocurrency with information about the ICO (whitepaper, information about the founders, the sate of the project, social networks and other data).

The study says that unearthing will allow investors to identify fraudulent ICOS at an early stage and save their money. "We hope that this work will help investors to identify scammers and attract more efforts for the automatic evaluation and analysis of ICO projects," the scientists write

Thats a great improvement ,in the world of cryptocurrency that those fraudelent ICO is learning  to identify,and we hope that its been used in this bitcointalk community so that the moral of this group still remains high,because this coming year there are some ICO is not been entrusted,because many people invest there money to that ICO campaign but in return,its will not earn nothing,becase that ICO is not in listed,so for  this kind of technology maybe they can determine those phising site and use the name only  as an ICO project to get a fund to the some investor.

[Vaflia]

That's great news! I think this program will help many people to avoid losses from fraud.

[BUSTEDCLUB]

Meh almost useless in my point of view, even a trusted project in the begining can turn out into scam. Sometimes a well worked project in some way turn into scam with excuse token got hacked or else.

[Minnie1928]

Fraudulent ICO has learned to identify with the help of artificial intelligence

Scientists from the University of California, Michigan and Stanford have created an algorithm that is based on deep machine learning is able to detect fraudulent ICO up to 83%. MarkLog wrote about this with reference to the joint communication of the universities.
The researchers downloaded data on 2251 ICO were Nacala 2016. The algorithm has apostoles the lifetime of the project and the change in the price of the cryptocurrency with information about the ICO (whitepaper, information about the founders, the sate of the project, social networks and other data).

The study says that unearthing will allow investors to identify fraudulent ICOS at an early stage and save their money. "We hope that this work will help investors to identify scammers and attract more efforts for the automatic evaluation and analysis of ICO projects," the scientists write

This was pretty weird. I meant about the total coins in the coinmarketcap was no more than 1.6k but it says more than 2.2k.

But is the algorithm already tested? How many accuracies have been getting the algorithm itself?

This is a system and it can be failed anytime. I meant it doesn't like a good thing for me.

Some scam projects are using fake identities and how they are learning it? I know some scam projects were taking the fake identity from videos on youtube.

AI still hasn't come to the state when it can resolve such complicated tasks like this where it needs to find the scammy ICO.
Scientists can brag and show the results but they are just graphs which can pull the investors to invest into recommended ICOs.
I don't know if the OP thought about the possibility that this is just a phishing trap to invest in other ICOs that were represented as positive.
What if this smaller percent of the positive and truthful ICO is actually revealed to be a scammy project.
Even with the algorithms, the human touch needs to be put for the necessary research of the possible scam and not one AI can compete yet with the human's power to distinguish the scam from the proper project.