Vectorspace AI is a machine-learning blockchain-based cryptocurrency that focuses on software development. As per its whitepaper, the platform powers research groups in space biosciences along with data vendors, institutions, and funds by creating on-demand NLU/NLP (natural language understanding/processing) correlation matrix data sets. These data sets are used to improve signals, precision, accuracy, profit/loss, Sharpe ratios, or Sortino ratios in the financial markets and biosciences industries. The network mainly focuses on how it can get machines to trade data with one another or transact or exchange data in a method that reduces a selected loss function. The key goal of this asset is to allow any group analyzing data to save time by testing a hypothesis or running experiments with higher throughput. This can improve innovation speed, novel scientific breakthroughs, and discoveries. 

Vectorspace AI focuses on context-controlled NLU/NLP and feature engineering for hidden relationship detection in data related to space biosciences. The asset runs advanced approaches in machine learning (ML) and artificial intelligence (AI) using formal and experimental language models merged with experimental methods developed at Lawrence Berkeley National Laboratory Bioscience Division. The network maintains a deep understanding of the financial markets, having devised algorithms for quantitative data arbitrage opportunities along with operating public companies and advising hedge funds. As per Vectorspace’s aims, it is important to understand the source of data and its reliability, especially in the areas of bioscience. Besides this, Vectorspace AI allows deep analysis of global trends in peer-reviewed published scientific papers, news, patents, research breakthroughs, and internet data for the purpose of context-controlled unique analysis opportunities for continuous information arbitrage. 

VXV is the native and utility token of Vectorspace AI and is used as a global public trading vehicle. This digital token acts as the intersection of NLP/ML/AI, crypto, data, and hedge funds. The value of the VXV token is controlled by users who aim to be taking long-term positions in VXV. The platform claims to have also created a public marketplace that allows users to acquire blocks of VXV and outbid other users who are interested in particular proprietary datasets. 

Kasian Franks is the founder and CEO of Vectorspace AI. He is a 25-year Silicon Valley veteran and pioneer in digital data streaming who has experience in machine learning, artificial intelligence, natural language processing (NLP), and data science strategies. The other founding team members include Mike Muldoon and Caleb Pate.

Vectorspace AI aims to enable machines to transact VXV tokens to reduce the loss that is at the core of effective AI/ML. 50% of the revenue goes back to buying VXV tokens on the open market, as VXV is required to access data sets and, more importantly, lineage, track data provenance, governance, hashes of hashes, and on-chain activities. Users can earn yield, funding, and revenues with subscriptions, licensing, revenue sharing, and transaction fees. The token does not function as currency and is similar to Google Cloud credits.

We update our Vectorspace AI to GBP currency in real-time. Get the live price of Vectorspace AI on Coinbase.

The current market cap of Vectorspace AI is £1.11M. A high market cap implies that the asset is highly valued by the market.

The all-time high of Vectorspace AI is £12.64. This all-time high is highest price paid for Vectorspace AI since it was launched.

Over the last 24 hours, the trading volume of Vectorspace AI is £15.36K.

Assets that have a similar market cap to Vectorspace AI include TOPGOAL, Databot, DeFinder Capital, and many others. To see a full list, see our comparable market cap assets.

The current circulating supply of Vectorspace AI is 50 million.