Classification of AI and AI systems in the AICP
Classification of AI and AI systems in the AICP
1 Passive Machines: An example of this category is Deep Blue, which was a chess program that was able to defeat Garry Kasparov, the world chess champion and grand master in the 1990s. Deep Blue could identify the pieces on each chess house and predict the next moves. The problem with the program was that it could not remember from previous data and use it for its future moves. Every time, this program would check and analyze all possible strategic moves of itself and the competitor and choose the best available move. This type of artificial intelligence and similar programs can be used for limited purposes and cannot be easily applied in other situations. 2 Limited Memory: This artificial intelligence system, unlike the previous one, can use past data for its future decisions. Some of the decision-making functions in self-driving cars are using this type of system. These types of machines use their observations to make decisions in the not-so-distant future. For example, to change the lane in which they are driving. Of course, these kinds of observations and data are not saved forever.
AICP Intelligence: AI has achieved self-awareness and consciousness by following AICP’s learning system of ruleless algorithms with the help of AICP’s Natural Language Algorithm and breaking the limitations that exist in AI systems. Selfaware machines can understand in what level and mode they are and can analyze the information received from the network from the API with the help of the framework and ruleless algorithms from the information they get and finally draw conclusions. 18. PoA algorithm PoA is a consensus mechanism that relies on well-known and trusted validators to generate blocks, thus providing the computing power of the network. The PoA algorithm enables faster transactions using the BFT algorithm. PoA is a type of consensus mechanism that is also used for companies or private organizations that want to build their own chains and are essentially closed in nature and do not require the participation of ordinary users. But in the AICP’s AI blockchain, due to the optimized processing power of the blockchain as well as the ruleless algorithms that have solved many limitations, we have been able to provide solutions that use PoA to confirm the nodes of a public blockchain network on the Metaverse and confirm the transactions by referring it to the next algorithm. If we want to define this algorithm in other words, we can say that the PoA authentication algorithm is a consensus method that gives the the ruleless algorithm the power to choose a reliable node for network transactions and interactions. In fact, in this algorithm, one or more authentication machines are responsible for verifying the identity of the node. In the PoA consensus algorithm of the AICP blockchain, it is protected by validation nodes that are trusted. This algorithm model is based on a limited number of block validators, which makes it a scalable system. 19. PoT algorithm In the AICP’s AI blockchain, to confirm the transactions of the nodes selected by the PoA algorithm by a layer 1 ecosystem and focused on the PoT algorithm, which is a combination of a directed acyclic graph data structure with the PoW algorithm. AICP is used With the PoT algorithm, the transaction fee is reduced and the throughput is increased up to 200,000 TPS. Matrix Metaverse AI is a layer 1 blockchain ecosystem designed with the purpose of verifying transactions and payments. Matrix AI Metaverse solves centralized and decentralized financial concerns (CeFi and DeFi) by proposing a new form of DAG-based protocol and infrastructure that is low-cost, fast, scalable, private, and ubiquitous. To create consensus, Proof of Trust (PoT) is used, which is confirmed by the PoA algorithm of the nodes by the ruleless algorithm. The main goal of Matrix Metaverse AI is to create a new generation of digital world that deals with all new digital aspects. It will be a fully inclusive ecosystem built from the ground up, from layer 1 to applications. As you know, big blockchains like Bitcoin and Ethereum are struggling with the problem of scalability. They perform transactions using blocks that are regularly added to the growing chain of blocks. Hence, there is a time frame for verifying blocks, which can be very long. For example, the Bitcoin blockchain can only process 20 transactions per second, while for Visa it is 65,000 transactions per second. Metaverse AI matrix is built on AI along with the custom-built framework and ruleless algorithms on layer 1 blockchain with a directed acyclic graph (DAG) data structure. This technology reduces transaction fees by 90% and increases throughput to 200,000 transactions per second. 20. Metaverse and AI The Matrix idea, Artificial Intelligence Metaverse that we are building seems so unreal that perhaps the only way to face it is to experience it. Everything we perceive from the world around us like colors, faces, tastes, pain, happiness, sadness, love, hate or in short, everything we see and understand from the world is possible only through electrochemical functions. Matrix, Artificial Intelligence Metaverse which is supposed to be a simulation of the world, by using mathematical numbers, this world can be made similar to a computer simulation. With the help of ruleless AICP algorithms and by breaking the limitations of known patterns and just like a video game, this will happen in the Matrix, the artificial intelligence metaverse. Matrix, Artificial Intelligence Metaverse is a curved space and this deviation is described mathematically. With the help of a curved space, we no longer have a limited metaverse, we are on the side of a matrix, the artificial intelligence metaverse, the matrix, the artificial intelligence describes all possible forms, and by implementing it, we display a new world in the metaverse. Matrix, artificial intelligence metaverse is the clearest embodiment of the concept that we can offer you today as a true decentralized metaverse. The Matrix metaverse of artificial intelligence is based on AICP intelligence and random algorithm in a virtual world that simulates the real world for us. Network nodes in the Metaverse matrix of artificial intelligence are authenticated with the PoA algorithm, and their activity in the matrix is used to confirm transactions, which is done by the PoT algorithm.
LINK INFORMATION :
https://www.linkedin.com/company/aicprimeco/
https://aicprime.com/AICPrimeWhitepaper.pdf
BTT Username: Radityadicka
https://bitcointalk.org/index.php?topic=5411884.msg61083212#msg61083212
Wallet: 0xACdd3f5C940875be7FE8F66a723cB30feeDcd5B2
Komentar
Posting Komentar