### What is Vectorspace AI?

Vectorspace AI is a blockchain-based cryptocurrency focused on machine learning, primarily in software development. It specialises in context-controlled Natural Language Processing (NLP) and feature engineering to uncover concealed relationships within data, particularly in space biosciences and financial markets. The primary purpose of Vectorspace AI is to expedite data analysis, hypothesis testing, and experimentation by generating on-demand NLU/NLP correlation matrix datasets, aiming to accelerate innovation, scientific discoveries, and breakthroughs in various fields.

### How does Vectorspace AI work?

Vectorspace AI operates on the Ethereum blockchain. It generates on-demand NLU/NLP correlation matrix datasets to enhance signals, precision, accuracy, profit/loss metrics, Sharpe ratios, and Sortino ratios in financial markets and biosciences sectors. The platform utilises advanced machine learning (ML) and artificial intelligence (AI) techniques, combining formal and experimental language models with methodologies developed at the Lawrence Berkeley National Laboratory Bioscience Division. It aims to enable machines to transact VXV tokens to reduce the core loss associated with effective AI/ML, facilitating data exchange among machines while minimising designated loss functions.

### What are the potential use cases for Vectorspace AI?

Vectorspace AI has various potential use cases across different industries, including:

- **Finance**: Provides data sets for investment signals, informational arbitrage, and thematic portfolios for retail traders and institutional investors.
- **Biosciences**: Used to detect hidden relations in compounds, viruses, genes, and proteins for breakthroughs in diagnostics, personalised cancer treatments, and understanding complex biological systems.
- **Space Biosciences**: Aims to use machine learning to send humans into space by revealing hidden relationships between genes and molecules.

Notable partnerships include CERN, Microsoft, Lawrence Berkeley National Laboratory, PUBMED, Elastic, CloudQuant, Trustology, LCX, NASA, and SpaceX, enhancing capabilities in various applications.

### What is the history of Vectorspace AI?

Vectorspace AI was founded in January 2017 with the token creation occurring on August 4, 2018, in San Francisco, CA. The founding team includes Kasian Franks (Founder and CEO/CVO), Mike Muldoon (CTO), and Raf Podowski (Chief Data Scientist), each with significant expertise in life sciences, NLP, machine learning, and data engineering. The platform focuses on context-controlled NLP and feature engineering for hidden relationship detection in data, generating specialised datasets for detecting relationships between entities such as cryptocurrencies and stocks. VXV is utilised as a utility token, bridging NLP/ML/AI with crypto, data, and hedge funds, and is traded in a public marketplace for proprietary datasets.

Vectorspace AI

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