Vectorspace AI Datasets are Now Available to Power Machine Learning (ML) and Artificial Intelligence (AI) Systems Vectorspace...
January 22 2020 - 1:23PM
InvestorsHub NewsWire
Vectorspace AI Datasets are Now
Available to Power Machine Learning (ML) and Artificial
Intelligence (AI) Systems in Collaboration with Elastic
SAN FRANCISCO, CA
-- January
22, 2020 --
InvestorsHub NewsWire -- Vectorspace AI (VXV)
announces datasets that power data engineering, machine learning
(ML) and artificial intelligence (AI) systems. Vectorspace AI
alternative datasets are designed for predicting unique hidden
relationships between objects including current and future price
correlations between equities.
Vectorspace AI
enables data, ML and Natural Language Processing/Understanding
(NLP/NLU) engineers and scientists to save time by testing a
hypothesis or running experiments faster to achieve an improvement
in bottom line revenue and information discovery. Vectorspace AI
datasets underpin most of ML and AI by improving returns from
R&D divisions of any company in discovering hidden
relationships in drug development.
"We are happy to be
working with Vectorspace AI based on their most recent
collaboration with us based on the article we published titled
'Generating and visualizing alpha with Vectorspace AI
datasets and Canvas'. They represent
the tip of the spear when it comes to advances in machine learning
and artificial intelligence. Our customers and partners will
certainly benefit from our continued joint development efforts in
ML and AI." Shaun McGough, Product Engineering, Elastic (NYSE:
ESTC).
Increasing the speed
of discovery in every industry remains the aim of Vectorspace AI
along with a particular goal which relates to engineering machines
to trade information with one another connected to exchanging and
transacting data in a way that minimizes a selected loss function.
Data vendors such as Neudata.co, asset management
companies and hedge funds including WorldQuant, use Vectorspace AI
datasets to improve and protect 'alpha'.
Limited releases of
Vectorspace AI datasets will be available in partnership with
Amazon (Nasdaq:
AMZN) and Microsoft (Nasdaq:
MSFT).
About Vectorspace AI
(vectorspace.ai)
Vectorspace AI
focuses on context-controlled NLP/NLU (Natural Language
Processing/Understanding) and feature engineering for hidden
relationship detection in data for the purpose of powering advanced
approaches in Artificial Intelligence (AI) and Machine Learning
(ML). Our platform powers research groups, data vendors, funds and
institutions by generating on-demand NLP/NLU correlation matrix
datasets. We are particularly interested in how we can get machines
to trade information with one another or exchange and transact data
in a way that minimizes a selected loss function. Our objective is
to enable any group analyzing data to save time by testing a
hypothesis or running experiments with higher throughput. This can
increase the speed of innovation, novel scientific breakthroughs
and discoveries. For a little more on who we are, see our latest
reddit AMA on r/AskScience or join our 24 hour
communication channel here. Vectorspace AI
offers NLP/NLU services and alternative datasets consisting of
correlation matrices, context-controlled sentiment scoring and
other automatically engineered feature attributes. These services
are available utilizing the VXV token and VXV wallet-enabled API.
Vectorspace AI is a spin-off from Lawrence Berkeley National
Laboratory (LBNL) and the U.S. Dept. of Energy (DOE). The team
holds patents in the area of hidden relationship
discovery.
Source: vectorspace.ai
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