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AIWORLD
AIWorld is a world where humans and virtual beings intersect.Surprise
Blockchain technology and artificial intelligence (AI) are two disruptive
technologies.
The decentralization and tamper-proof nature of blockchain technology can
support applications such as smart contracts and digital currencies, while the
capabilities of AI technology, such as big data processing, automated reasoning,
and deep learning, can enable computers to better handle massive amounts of data
and provide intelligent analysis and decision-making. The fusion of blockchain
technology and AI can not only fully leverage the advantages of both,but also
further promote revolutionary changes in the digital economy and social
development, further lowering the cost and threshold of ordinary people using
blockchain technology and AI, and truly benefiting everyone economically.
The Combination of Blockchain and Al Value
Authenticity
The digital records of blockchain provide insights into the underlying framework
of AI and its data sources, addressing the challenge of interpretable AI. This
helps to enhance trust in data integrity and, in turn, increases trust in the
recommendations provided by AI. Using blockchain to store and distribute AI
models provides audit tracking, while pairing blockchain and AI can enhance data
security.
Enhanced Functionality
AI is capable of quickly and comprehensively reading, understanding, and
correlating data at an astonishing speed, bringing new levels of intelligence to
blockchain-based business networks. By providing access to large amounts of data
inside and outside of enterprises, blockchain can help AI achieve scalability,
provide more feasible insights, manage data usage and model sharing, and create
a trusted and transparent data economy.
Automatization
Automation and blockchain can bring new value to cross-party business processes
by eliminating friction, speeding up processes, and increasing efficiency. For
example, AI models embedded in smart contracts executed on blockchain can
recommend products to be recalled, execute transactions (such as reordering or
purchasing stocks based on set thresholds and events), resolve disputes, and
select the most sustainable shipping methods.
Medical Care
AI can help drive almost every area of the healthcare industry, from presenting
therapeutic insights and supporting user needs to identifying insights and
revealing patterns from patient data. Through patient data on the blockchain,
including electronic health records, companies can work together to improve the
level of care while protecting patient privacy.
Life Sciences
Blockchain and AI in the pharmaceutical industry can enhance the visibility and
traceability of the pharmaceutical supply chain, while significantly improving
the success rate of clinical trials. By combining advanced data analysis with a
decentralized clinical trial framework, data integrity, transparency, patient
tracking, consent management, and automation of trial participation and data
collection can be achieved.
Financial Service
Blockchain and AI are revolutionizing the financial services industry by
achieving trust, eliminating friction in multi-party transactions, and
accelerating transaction speed. Consider the loan process. The applicant grants
permission to access personal records stored on the blockchain. Trust in the
data and automated processes used to evaluate applications can help speed
closure and improve customer satisfaction.
Supply Chain
AI and blockchain are fundamentally changing various industries' supply chains
and creating new business opportunities by digitizing paper-based processes,
making data shareable and trustworthy, and adding intelligence and automation to
transaction execution. For example, manufacturers can track carbon emission data
at the product or component level to improve the accuracy and intelligence of
decarbonization efforts.
Authenticity
The digital records of blockchain provide insights into the underlying framework
of AI and its data sources, addressing the challenge of interpretable AI. This
helps to enhance trust in data integrity and, in turn, increases trust in the
recommendations provided by AI. Using blockchain to store and distribute AI
models provides audit tracking, while pairing blockchain and AI can enhance data
security.
Enhanced Functionality
AI is capable of quickly and comprehensively reading, understanding, and
correlating data at an astonishing speed, bringing new levels of intelligence to
blockchain-based business networks. By providing access to large amounts of data
inside and outside of enterprises, blockchain can help AI achieve scalability,
provide more feasible insights, manage data usage and model sharing, and create
a trusted and transparent data economy.

Surprise

The total number of AI WORLD tokens is 1 billion
with a maximum of 20,000 computing nodes.
Of the 1 billion tokens

60% is generated by the computational nodes through mining (600 million).

10% is used for ecosystem development (100 million).

10% is airdropped to early users as incentives (100 million).

10% is set aside as a reserve for risks and expansion (100 million).

10% are held by the team (100 million)
Computing NodesThe maximum number of computational nodes is 20,000, and there
are three types of nodes:Cluster nodes,Master nodes,Regular nodesCluster Node -
fixed price at 10,000 U/each Master Node - fixed price at 5,000 U/each Regular
Node - starting at 1,600 U
The price increases by 1% for every 1% of total salesThe price increases by 100U
for every additional 2000 nodes sold.
Nodes 1-2001600u per node
Nodes 201-4001616u per node
Nodes 401-6001632u per node
Nodes 601-8001648u per node
Nodes 801-10001664u per node
Nodes n-(n+200)(1600*(1.01)^n)u per node
Nodes 19201-1940011382u per node
Nodes 19401-1960011487u per node
Nodes 19601-1980011595u per node
Nodes 19801-2000011693u per node
Owning notes also qualifies you for invitation rewards.Surprise
Get a feel for
what AI world can do!
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More>
Ioannis Korkos
Dr. Ioannis Korkos is a senior lecturer at the University of South London. His
research interests include the application of big data and artificial
intelligence, time series analysis
More >
Simone De Rosa
Simone De Rosa graduated from the University of Westminster in the UK with a
degree in Financial Technology. He has a strong passion for artificial
intelligence, blockchain technology...
More >
GongHui
Dr. Gong Hui is an expert in financial technology and blockchain technology. He
is currently a lecturer in finance and financial technology at the Westminster
Business School, University of Westminster…
Ioannis Korkos
Dr. Ioannis Korkos is a senior lecturer at the University of South London. His
research interests include the application of big data and artificial
intelligence, time series analysis
Q2 2023Launch AIWorld platform
BNB chain wallet interface deploy
BlockChain-GPT system testing
BlockChain-MID system testing
Deploy the Trusted Verifier Node
Q3 2023Launch the Trusted Verifier Node
The node production yield distribution
Launch the DAO governance
Testing of the AIWorld Application Center platfor
Q4 2023Decentralized social system launch
Multichains deploy (Ethereum, Solana, etc)
Open the multi-functional API interface
Launch more Web3 AI applications
Upgrade the AIWorld Application Center platform
Q1 2024Provide customized platform services Build an AI metaverse
More ecosystem deploy

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