Vector Space Biosciences 價格

Vectorspace AI provides correlation matrix datasets to help researchers accelerate data-driven innovation and discoveries using patent-protected natural language processing and understanding (NLP/NLU). Founded in 2020, the company shot into the limelight during the COVID-19 pandemic when it released a thematic basket of stocks correlated to COVID-19, resulting in significant gains.

Vectorspace AI is a subsidiary of Vector Space Biosciences and provides datasets for machine learning and artificial intelligence applications. It includes datasets and associated products that facilitate the construction of systems capable of identifying apparent and concealed relationships within data.

The company’s datasets allow the creation of clusters of entities that possess both evident and concealed connections to external events, worldwide trends, or news. These clusters can represent networks of suppliers, companies developing analogous drugs, or any entity with a symbiotic, parasitic, or sympathetic latent association with another entity, event, or global tendency.

VXV is the native cryptocurrency of the Vectorspace AI platform and has a total supply of 50 million tokens. It provides security, governance, data lineage, and provenance for its datasets.

Vectorspace AI generates datasets using language modeling and scientific data engineering processes, focusing on context-controlled Natural Language Processing/Understanding (NLP/NLU) and feature engineering. The platform’s algorithms can generate datasets that power AI/NL systems across multiple industries - from healthcare and financial services to space and deep tech.

This enables researchers and data scientists to accelerate their data-driven innovation and discoveries by quickly testing hypotheses and running experiments with higher throughput. The company also generates data on thematic investment in the traditional stock market, helping investors spot investment opportunities by analyzing macroeconomic patterns.

Vectorspace AI also supports thematic investing, a concept that has the potential to revolutionize crypto and traditional financial markets. The company’s datasets can generate thematic baskets of traditional market equities.

The company has created language models from scratch and developed scientific data engineering pipelines encompassing data visualization, interpretation, and human-in-the-loop curation. Vectorspace AI’s team has been collaborating with partners for over two decades. It aims to advance scientific research and generate new hypotheses and novel discoveries rapidly with the help of AI and ML technologies.

The history of Vectorspace AI can be traced back to 1997 when NASA commissioned Bissell Lab at Lawrence Berkeley National Laboratory to write a report on safeguarding the human body during a planned mission to Mars. The founding team worked on this initiative and was granted several patents.

They founded the company Vectorspace AI in 2017. In 2020, the company received significant attention when it released a thematic basket of stocks correlated to the COVID-19 pandemic, helping investors realize substantial gains.

In 2021, the company established Vector Space Biosciences and formed an award-winning Scientific Advisory Board (SAB). In 2022, it published its work in partnership with the Imperial College of London (ICL) in a report titled ‘From Markets to Molecules.’

The report examined a technique to find hidden connections between stocks and shares and applied them to discovering and mapping connections between proteins. Leveraging AI and natural language understanding, the technique was used in academic literature to reveal a map showcasing the evolution of observed correlation between two proteins over time.

In August 2022, the company announced the development of a computational solutions platform focused on protecting and repairing the human body during spaceflight.

Vectorspace AI提供相關性矩陣數據集，以幫助研究人員使用受專利保護的自然語言處理和理解（NLP / NLU）加速數據驅動的創新和發現。該公司成立於2020年，在COVID-19大流行期間發布了一個與COVID-19相關聯的主題股票籃，從而實現了顯著的收益，因而一炮而紅。

Vectorspace AI是Vector Space Biosciences的子公司，提供機器學習和人工智能應用的數據集。它包括數據集和相關產品，有助於構建能夠識別數據內明顯和隱藏關係的系統。

該公司的數據集允許創建實體集群，這些集群具有與外部事件、全球趨勢或新聞的明顯和隱藏聯繫。這些集群可以代表供應商網絡、正在開發類似藥物的公司或任何與另一個實體、事件或全球趨勢具有共生、寄生或共鳴潛在關聯的實體。

VXV是Vectorspace AI平台的本地加密貨幣，總供應量為5000萬個代幣。它提供了數據集的安全性、治理、數據來源和來源的證明。

Vectorspace AI（向量空间AI）使用语言建模和科学数据工程技术生成数据集，重点关注上下文控制的自然语言处理/理解（NLP/NLU）和特征工程。该平台的算法可以生成支持多个行业的AI/NL系统的数据集，包括医疗保健、金融服务、太空和深度技术。

这使得研究人员和数据科学家能够通过更高的通量快速测试假设和进行实验，加速数据驱动的创新和发现。该公司还在传统股市上产生了关于主题投资的数据，通过分析宏观经济模式来帮助投资者发现投资机会。

Vectorspace AI还支持主题投资，这个概念有可能彻底改变加密货币和传统金融市场。该公司的数据集可以生成传统市场股票的主题篮子。

该公司从头开始创建语言模型，并开发了包括数据可视化、解释和人机交互在内的科学数据工程流程。Vectorspace AI的团队已经与合作伙伴合作超过20年。该公司旨在通过AI和ML技术，促进科学研究，快速产生新的假设和新的发现。

Vectorspace AI的历史可以追溯到1997年，当时NASA委托劳伦斯伯克利国家实验室的Bissell实验室撰写一份关于在计划中的火星任务期间保护人体的报告。创始团队为此倡议工作，并获得了多项专利。

他们于2017年成立了Vectorspace AI公司。2020年，该公司发布了与COVID-19大流行相关的主题股票篮子，帮助投资者获得了可观的收益，引起了广泛关注。

2021年，该公司成立了Vector Space Biosciences，并组建了屡获殊荣的科学顾问委员会（SAB）。2022年，它与伦敦帝国学院（ICL）合作，在一份名为“从市场到分子”的报告中发布了自己的工作。

该报告研究了一种技术，用于发现股票和股份之间的隐藏联系，并将其应用于发现和映射蛋白质之间的联系。利用人工智能和自然语言理解，该技术在学术文献中被用于揭示两个蛋白质之间观察到的相关性随时间演变的映射。

2022年8月，该公司宣布开发了一个专注于在太空飞行期间保护和修复人体的计算解决方案平台。