ATPHIZA Social Network
Each ATPHIZYOM Platform User (“Free-User” or “Paid-Subscriber”) is known as an ATPHIZA, and each of whom is part of a vast collective community network known as the ATPHIZA Social Network. Each “ATPHIZA” essentially forms a node within an immense network of nodes, acting much like neurons within the human brain, mutually sharing and collecting information from each other whilst simultaneously transmitting Big-Data Analytics in an autonomous and subconscious fashion with the assistance of ATPHIZYOM’s proprietary A.I.-algorithms (Artificial Intelligence models) operating continuously & dynamically in the platform background — the A.I. System independently learns by continuously revising and updating its own A.I. Models in real-time based on changing activities and interactions from the ATPHIZAs and the overall ATPHIZYOM Ecosystem. Much like how a human child learns about the physical world and matures over time by interacting with the surrounding environment it inhabits in, ATPHIZYOM’s TRUE Artificial Intelligence model learns and optimizes the “Thinking” and “Behavioral Patterns” of its Users gradually by interacting with the native ATPHIZYOM Artificial Intelligence Ecosystem [AAIE] and the indigenous ATPHIZA Social Network [ASN].
Specific to the ATPHIZYOM Platform, this holistic interconnecting and interacting ecosystem of ATPHIZAs forms the proprietary Aritificial Cerebral Network [ACN], equivalent to the “Cerebrum” within the human brain that is responsible for cognition and perception — the “thinking” part of the brain. Analogous to the evolution of the human brain over time such that the development of a greater number of neurons and synapses translates directly to greater efficiency, productivity, creativity and mental capacity, the ATPHIZYOM Artificial Cerebral Network and its underlying A.I.-algorithmic models collectively evolve to become more and more intelligent as the number of ATPHIZAs (“nodes”) and Followers-Following (“connections”) increases with the growth of both the User-Base size and interconnectivity of the ATPHIZA Social Network. Furthermore, the inherent challenge-response verification system coupled with direct reward payments via Blockchain-driven protocol tokens (“App Coins”) in a decentralized & distributed fashion would incentivize the ATPHIZA Social Network to grow in size, and thus increase the size of the Artificial Cerebral Network, i.e. the “Brain” capacity of the ATPHIZYOM Platform. In conjunction with this form of Machine Learning occurring at a higher level, Deep Learning techniques utilizing “Artificial Neural Networks” will be concurrently deployed at a deeper level to train the individual User-specific A.I.-algorithmic models. Therefore, the proprietary ATPHIZYOM Artificial Intelligence Ecosystem [AAIE] essentially consists of Multi-Layer Machine Learning [ML-ML] units that construct a “Brain-within-a-Brain”, in order to ultimately enhance and expedite the integral A.I. Training process and resultant A.I. Models.
Structurally similar to the synapses of the neurons in the human brain, each ATPHIZA node is capable of conducting two-way traffic “impulses” (transmissions and receptions), which, in the context of the ATPHIZA Social Network and ATPHIZYOM Platform, translates to the nature of each ATPHIZA possessing a collection of connected-nodes (neighboring “Friends”) that have either of the sub-classifications as Followers and/or Following.
The solution proposed by the ATPHIZYOM platform aims not only to address the financial analytics-access and investment performance-enhancement issues of various mass-market user profiles, but also to ultimately provide an interactive A.I.-Blockchain-driven Software-as-a-Service [AIBSaaS], which quintessentially is an Artificial Intelligence model [A.D.A.M.] (“Autonomous Dispersion Analytics Machine” or “Autonomous Diversification & Allocation Machine”) in the form of a challenge-response verification system coupled with direct reward payments via Blockchain-driven protocol tokens (“App Coins”) on a decentralized & distributed network system that would amass big-data behavioral analytics in real-time from the indigenous social environment and the native ecosystem ( “ATPHIZA Social Network” [ASN] and “ATPHIZYOM Artificial Intelligence Ecosystem” [AAIE]) to further enhance and Fully Autonomize the independent users’ financial investment management lifecycles. Over time, Machine Learning processes and Deep Learning Neural Networks that mimic human psychological patterns would train the ATPHIZYOM platform’s Artificial Intelligence model A.D.A.M., using “crowdsourced” Users’ data from the ATPHIZA Social Network, to eventually become a natural extension and assimilation of the individual User’s human psyche. Big-Data “Behavioral Analytics” via A.I.-Algorithms running on the Blockchain data-sets ultimately drives the core of the ATPHIZYOM Platform mechanism, thus “Scientifically Empowering the Art of Investment”.