image By Jordan Schwartz
It has been shown that artificial intelligence has an enormous predictive force in all types of fields. Sports is one of the areas where data plays a major role, whether it is statistics about the shape of the team and the general performance, or the data of the individual players and their power points. Collecting and analyzing these data using algorithms can lead to more accurate predictions. This type of artificial intelligence should not include any human inputs.
There is a different type of artificial intelligence that brings human inputs to the frame. Swarm Intelligence aims to amplify the intelligence of a group of individuals, providing more accurate predictions of a group of events, including sports results.
What is an intelligence swarm?
The purely sports artificial intelligence system effectively removes human inputs from the process; Instead, it makes decisions based on data and accounts inputs through algorithms.
A very different swarm intelligence. It depends on the inputs of many individuals who, by making one decision at once together, serve as a cell mind, or swarm.
This idea depends on biological systems notes such as ant colonies or bee swarms. If they behave individually, these insects will not have much intelligence (nervously). By joining together, a group of bees can achieve the intelligence of the human mind.
When a group of bees start to find a cell, they will contact a collective decision and a strong consensus, without the usual blocs that are experienced in human policy systems.
Swarm Intelligence is a deliberate attempt to bring human individuals into a swarm like a synthetic intelligence system, by forcing the answer that satisfies most people. One of the main roles of a squadron intelligence is to bring human morals and morals to take the decision of Amnesty International, but it also happens to be incredibly strong when it comes to predictions.

image By rawipixel
UNU Swarm Intelligence System
Intelligence swarm is completely different from the survey. The survey always attracts answers, focusing on the differences between groups. For example, you ask 100 people if they want to leave or stay in the European Union, and will do the result always Be a division, a decision divided into the species that are launched from individuals in a specific group.
Squicing intelligence works completely differently. In the UNU system, invented by the CEO of consensus, Amnesty International Luis Rosenberg, individuals join together to make swarms. Multiple answer questions are asked. Each participant has a magnet index, who can use it to withdraw the impairment towards an answer.
The consequences of paying and withdrawing the consensus, as the group ultimately must reach one answer that works for everyone. You can see it at work on AI unanimously The prediction is highlighted To better understand the process.
Even a random group of people, when collecting their knowledge, ideas, and missionary, can be able to outperform experts, and it has been proven that this is true again and again with the systems of intelligence swarm. When sports enthusiasts combine together this way, they can provide more accurate predictions.
Success of sports betrayal UNU
Sports betting is a growing industry, which is expected to reach values more than $ 155 billion worldwide by 2024. growth will come largely from the Asia Pacific region, as well as from North America, where recent legislation allowed sports betting within many states as well as in upcoming mobile applications such as Fox. With the opening of the industry for more people all over the world, people are inevitably looking to obtain an advantage.
The UNU SWARM intelligence system has already been several times. 2016 Kentucky Derby was a milestone. A group of horse racing fans predicted Superfecta with amazing accuracy, turning $ 20 to $ 11,000 with a payment of 540-1.
Researchers at the University of Oxford and AI unanimously tested SWARM system to predict the winners of 50 EFL game. The average number of individuals alone was 55 %, but when this was largely reinforced to 72 %.
In early 2008, the UNU system achieved a more impressive result of Derby Kentucky. SWARM and AI system properly predicted 10 games on the weekend 10 games, including withdrawals. The community members who followed Barley’s bets ended up with a long time to 1,244-1.
It is clear that a swarm intelligence, the synthesis of artificial intelligence and human minds can be a strong indication of sports betting.