High-level partnerships and AI support for solving complex problems support the silent climb of altcoin Vectorspace AI (VXV) price to ATH levels. In addition, the KuCoin listing also confirmed the demand from its investors. Let’s start with Vectorspace’s recent price movements, the project’s functionalities will be our next stops.
What is Vectorspace AI (VXV)?
Vectorspace AI (VXV) is a set of protocol-building correlation matrix and datasets whose graphs can detect hidden relationships in data and do artificial training without the need to jump to DeFi or NFT trending. Since dropping to $0.71 on May 23, VXV price surged 2.267% to a record high at $19.47 on September 16, before suffering a significant pullback along with the rest of the crypto market, according to data from TradingView.
Altcoin VXV listed on Kucoin
This week, the price action for VXV saw 24-hour volume rise 380% to $9.37 million on Nov. 11, while overnight price rose 32.42% to hit an intraday high of $16.18. The spike in price and trading volume comes after being listed on KuCoin, the sixth largest cryptocurrency exchange by trading volume.
Aside from the tweet above announcing the KuCoin listing, the Vectorspace AI team is keeping a pretty low-key profile in terms of project announcements and marketing. Many of the project’s Twitter posts feature some of the latest developments and discoveries in data analysis and bioscience.
But for anyone who pays attention to the increasing value and importance of data in the digital age, the ability to correlate and analyze large volumes of data to discover solutions that would take human years to analyze manually is among the biggest challenges in the world. For example, early in the COVID-19 pandemic, Vectorspace technology helped scientists narrow down their research and save valuable time by analyzing years of medical research and findings to recommend a short list of substances that could be used as treatments.
According to the project’s website, current partners and collaborators include PubMed.gov, the United States Department of Energy, the National Library of Medicine, the European Molecular Biology Laboratory, Lawrence Berkeley National Laboratory, and CERN.
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