About Vectorspace AI
Vectorspace AI provides high-value correlation matrix datasets to give researchers the ability to accelerate their data-driven innovation and discoveries using patent-protected NLP/NLU. Clients save time in the research loop by quickly testing hypotheses and running experiments with higher throughput. Vectorspace AI originated in the Life Sciences dept. of Lawrence Berkeley National Laboratory (LBNL) where the founders developed the patents that drive the company’s innovation for a variety of academic institutions. Visit
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Sign me upMarket Stats
Market Cap
$795.71K
FDV
$2.39M
Circ. Supply
50M VAIX
Max Supply
150M VAIX
Total Supply
50M VAIX
Diluted Valuation
$2.39M
Performance
Popularity
Not enough data
Dominance
0%
Volume (24H)
$12.82K
74.2%
Volume (7D)
$97.44K
Volume (30D)
$432.79K
All time high
$16.97
Price Change (1Y)
-93.09%
Additional details
Market details
VAIX vs markets
↘ 95.81%
VAIX vs BTC
↘ 95.6%
VAIX vs ETH
↘ 95.44%
Tags
ai-big-data
Network & Addresses
Network | Address | |
|---|---|---|
Ethereum | 0x7D29A64504629172a429e64183D6673b9dAcbFCe | |
Ethereum | 0xB7b37b81d4497AB317fc9d4A370CF243043d6bBe |
Price history
Time | Price | Change |
|---|---|---|
Today | $0.0160 | ↘ 5.58% |
1 Day | $0.0169 | ↘ 5.59% |
1 Week | $0.0161 | ↘ 1.05% |
1 Month | $0.0165 | ↘ 3.54% |
1 Year | $0.23 | ↘ 93.09% |
FAQ
Vectorspace AI (VXV) is a unique digital asset that strives to provide high-value correlation matrix datasets to researchers. It employs patent-protected Natural Language Processing (NLP) and Natural Language Understanding (NLU) to expedite data-driven innovation and discoveries. The objective is to assist researchers by enabling them to swiftly test hypotheses and conduct experiments with higher throughput. The technology of Vectorspace AI originates from the Life Sciences department of Lawrence Berkeley National Laboratory (LBNL), where the founders developed the patents that fuel the company's innovation.
Vectorspace AI operates by utilizing advanced artificial intelligence (AI) and machine learning (ML) technologies to discover hidden relationships and provide context-dependent insights. It strives to minimize loss or enhance signal in AI and ML pipelines. The platform processes approximately 4000 peer-reviewed scientific papers every 24 hours, focusing on real-time visualization of data sources as published data expands exponentially. To ensure dataset security, provenance, lineage, and governance, Vectorspace AI employs the ERC20 blockchain, which provides immutability.
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