Crypto Custodial Wallet Provider Trustology Partners With Vectorspace AI to Remove Barriers to Purchase for Its VXV Token
LONDON, Jan. 31, 2020 /PRNewswire/ – Trustology, a UK based FinTech company focused on providing high-end, insured custodial wallet solutions to secure and manage cryptoassets in real-time, today announced its partnership with Vectorspace AI to make it safer, faster and easier for token purchasers to send, receive and hold its VXV tokens using TrustVault.
Use of TrustVault removes barriers to purchase as it offers buyers the institutional-grade security assurance and ease of use they expect when buying tokens. In addition, Vectorspace saves on both time and cost by capitalising on the automated means to create user wallets and disburse tokens at scale.
The unique insured solution offers end-users 24/7 instant access from the convenience of a mobile device, premium customer support, low latency (less than one second to transact), secure connectivity to dApps through its MetaMask integration and rapid account access recovery.
Commenting on the integration, Alex Batlin, CEO of Trustology said: “Not every token owner is an expert in crypto and with the TrustVault app they don’t have to be. We’ve purposely built and designed a solution we know is easy to use, fast, scalable, highly secure and resilient. We think that in supporting Vectorspace it will demonstrate to other token issuers the value in partnering with us from not only a security perspective but also in terms of savings in time, cost and effort.”
“We’re glad to be working with Trustology as they provide our customers, also our investors, with a level of comfort along with a frictionless and protected cryptocurrency experience,” notes Kasian Franks, Scientific & Technical Co-Founder CEO/CVO of Vectorspace AI.
Press Queries:
Mia Mohamed
Head of Marketing, Trustology
+44 (0) 7500105815
[email protected]
About Trustology:
Trustology was created to enable the adoption of cryptoassets on a global scale by building solutions to address the very real concerns that stand in the way of widespread blockchain adoption, now and in the future.
That’s why we built TrustVault — a fast, user-friendly and highly secure custodial wallet service designed to address the security and ownership shortcomings of existing custody solutions, hardware wallets and cold storage options today, whilst also providing the same level of speed, flexibility and access we’ve come to expect from traditional assets and account services.
For more information visit https://www.trustology.io
About Vectorspace AI (VXV)
Vectorspace AI is a machine learning and financial informatics company providing alternative datasets and a ‘feature engineering’ platform. The company 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). The platform powers research groups, data vendors, funds and institutions by generating on-demand NLP/NLU correlation matrix datasets. Vectorspace AI (VXV) is a cryptocurrency token and operates on the Ethereum platform. The most active exchange that is trading Vectorspace AI is Probit.
For more information visit: https://vectorspace.ai/
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Mina J. Bissell Ph.D. & Vectorspace AI Advance New Space Biosciences Division
SAN FRANCISCO, June 22, 2021 /PRNewswire/ – As the new space race heats up, more humans will be traveling into space than ever before. Spaceflight causes many changes in human health. Humans cannot be sent into space without understanding how to protect and repair human DNA along with tissue regeneration while in space.
To understand stressors and develop countermeasures that can be used to protect and repair human DNA while in space, Vectorspace AI welcomes Mina J. Bissell, Ph.D., distinguished senior scientist (the highest rank bestowed at Lawrence Berkeley National Laboratory (LBNL)/DOE) in the Biological Systems and Engineering Division, to its Scientific Advisory Board (SAB). Dr. Bissell was previously head of the Biosciences division of LNBL for 14 years along with being the chair of the 200+ page report for the NASA Space Radiation Health Program study related to a mission to Mars.
Dr. Bissell is one of five recipients of the 2020 Canada Gairdner International Award, an annual honor given to scientists who have contributed to transformative human health research. She is Faculty of four Graduate Groups in UC Berkeley: Comparative Biochemistry, Endocrinology, Molecular Toxicology, and Bioengineering (UCSF/UCB joint program). She has challenged several established paradigms, and pioneered the field of tumor microenvironment. Using mammary gland and breast cancer her body of work has provided the foundation for the current recognition of the pivotal role that extracellular matrix (ECM) signaling plays in regulation of gene expression in both normal and malignant cells. Her laboratory pioneered the use of 3D organoids and techniques that allowed her to prove her signature phrase that after conception, “phenotype is dominant over genotype.”
Vectorspace AI specializes in detecting hidden relationships in data via advanced networks of data engineering pipelines designed to generate datasets and visualizations applied to space biosciences and is a long time collaborator with the Bissell Lab at LBNL under U.S. government contract No. DE-AC02-05CH11231 along with the U.S. Navy’s Space and Naval Warfare (SPAWAR) division.
Specifically, Vectorspace AI applies ‘tip of the spear’ unsupervised learning methods in AI/ML connected to NLP/NLU (Natural Language Processing/Understanding) biological language modeling to generate datasets used to create relationship networks between genes, proteins, diseases, micronutrients and drug compounds. Data engineering pipelines are one of the most important pillars underpinning accelerated scientific discovery.
Dr. Bissell will be advising on partnerships in space biosciences with companies and space agencies such as Virgin Galactic , SpaceX, Blue Origin, NASA Space Biosciences, ESA, JAXA and others with a focus on research related to ' dynamic reciprocity ‘, the ECM (Extra cellularmatrix), TME (Tumor Microenvironment), exosomes, simulated microgravity, biomarkers, ocular, brain ECM, nutrigenomics, GCR (Galactic Cosmic Rays), HZE (High-energy and high-charge ions), Bragg peak and ‘track’ correlation analysis related to DNA repair pathways along with high/low LET (Linear Energy Transfer) radiation, telomere elongation/shortening, chromosomal translocations and dysregulated gene expression and additional multiomics research in connection to space biosciences.
Additional research includes analysis of key targets and key effects of particle damage correlated to type of particle and track including:
Targets:
DNA bases/genes
Carbohydrates
Proteins
Lipids
Mitochondria
Blood cells
Membrane receptors
Cell adhesion molecules
ECM
Immune cells
Stem cells
Endothelium
Exosomes
Effects:
Clustered DNA damage
Persistent mutations and chomosome aberrations
Reduced DNA and cellular repair
Drastic G M block and altered cell cycle kinetics
Enhanced cytokine activation
Tumorigenesis at high dose, high-LET or HZE
Apoptosis, autophagy, senescence, mitotic catastrophe, necrosis
Altered gene expression and differentiation
Changes in cell-cell comms and non-targeted effects
Changes in cell adhesion and motility
Changes in angiogensis
Specific applications in space biosciences will benefit all humankind indefinitely while also leading to new discoveries and applications in precision and personalized medicine which can be applied today along with drug repurposing, repositioning, and discovery connected to healthspan and revenue.
Working with groups such as NASA’s Human Research Roadmap (HRP), NASA GeneLab and Biospecimen Sharing Program (BSP), Vectorspace AI will apply advanced techniques in bioinformatics, AR/XR (Augmented/Extended Reality) and visualization to enable the generation and acceleration of new hypotheses and discoveries in space biosciences. Resulting practical applications in space biosciences can immediately translate into on-ground solutions in all of Life Sciences including licensing and royalty opportunities in the pharmaceutical industry. Future roadmaps include applications in nanomedicine and advanced materials connected to spaceflight.
Vectorspace AI continues to maintain applications in the financial and cryptocurrency markets that provide hedge funds, asset management companies, and other institutions with datasets that generate alpha through its utility token, VXV. The token provides data lineage, provenance, governance and security for its datasets, which are mission critical for any data engineering operation today. Datasets are accessed through the VXV wallet-enabled API.
About Vectorspace
Vectorspace AI provides high value correlation matrix datasets to enable researchers with 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 including CERN. Visit https://vectorspace.ai
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SOURCE Vectorspace AI
Vectorspace AI & CERN Create Natural Language Processing (NLP) Datasets in Particle Physics with Applications in Artificial Intelligence (AI) for Every Industry
SAN FRANCISCO, CA and GENEVA, SWITZERLAND / ACCESSWIRE / September 28, 2020 / Vectorspace AI and CERN , the European Organization for Nuclear Research and the largest particle physics laboratory in the world, are creating datasets used to detect hidden relationships between particles which have broad implications across multiple industries. These datasets can provide a significant increase in precision, accuracy, signal or alpha and for any company in any industry.
For commercial use, datasets are $0.99c per minute/update and $0.99c per data source, row, column and context with additional configurations and options available on a case by case SaaS/DaaS based monthly subscription. Over 100 billion unique and powerful datasets are available based on customized data sources, rows, columns or language models.
While data can be viewed as unrefined crude oil, Vectorspace AI produces datasets which are the refined ‘gasoline’ powering all Artificial Intelligence (AI) and Machine Learning (ML) systems. Latest research suggests " The Next Big Breakthrough in AI Will Be Around Language " - HBR.
Datasets are algorithmically generated based on formal Natural Language Processing/Understanding (NLP/NLU) models including OpenAI’s GPT-3 , Google’s BERT along with word2vec and other models which were built on top of vector space applications at Lawrence Berkeley National Laboratory and the US Dept. of Energy (DOE). Over 100 billion different datasets are available based on customized data sources, rows, columns or language models.
Datasets are real-time and designed to augment or append to existing proprietary datasets such as gene expression datasets in life sciences or time-series datasets in the financial markets. Example customer and industry use cases include:
Particle Physics: Rows are particles. Columns are properties. Used to predict hidden relationships between particles.
Life Sciences: Rows are infectious diseases. Columns are approved drug compounds. Used to predict which approved drug compounds might be repurposed to fight an infectious disease such as COVID19. Applications include processing 1500 peer reviewed scientific papers every 24hrs for real-time dataset production.
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Financial Markets: Rows are equities. Columns are themes or global events. Used to predict hidden relationships between equities and global events. Applications include thematic investing and smart basket generation and visualization .
Data provenance, governance and security are addressed via the Dataset Pipeline Processing (DPP) hash blockchain and VXV utility token integration. Datasets are accessed via the VXV wallet-enable API where VXV is acquired and used as a utility token credit which trades on a cryptocurrency exchange.
About Vectorspace AI
Vectorspace AI is revenue positive with current customers, partners and collaborators including CERN, S&P Global, Amazon, Microsoft and Elastic . Current competitors include Palantir , Google and SAS .
Vectorspace AI science and technology originated in Life Sciences and currently 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 engineer 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. 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.
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