A Deep Dive on the Data-focused Crypto, Vectorspace AI (VXV) | by Vector Space Biosciences | Medium

Before you begin your deep dive on VXV, you might want to do a shallow dive with these introductory links : While ‘ data ’ might be the new petroleum, the ‘ dataset ’ is the complicate gasoline that powers every machine Learning ( ML ) and AI operation. now lets begin the deep dive : identify : Vectorspace AI

symbol : VXV site : hypertext transfer protocol : //vectorspace.ai team background, experience and track record : We ’ re a team with a deep background in skill, technology and the fiscal markets. We ’ re veteran software engineers, scientific and technical founders. We work in the area of speciate algorithm in ML/AI for Life Sciences and the fiscal markets. hera are a few references that might help during any due application work on Vectorspace AI : – We ’ ve done an AMA on AI in reddit.com/r/AskScience with 16M subscribers : hypertext transfer protocol : //www.reddit.com/r/askscience/comments/9k5i8u/askscience_ama_series_were_team_vectorspace_ai/ – We ’ ve been in the AI industry since 1994 at Genentech executing on pattern recognition algorithm. Before that, we built search engines which have their roots in AI. referee : “ Overlooked No More : Karen Sparck Jones, Who Established the Basis for Search Engines ” hypertext transfer protocol : //www.nytimes.com/2019/01/02/obituaries/karen-sparck-jones-overlooked.html “ Ideas she wrote about are now being put into practice as artificial intelligence research becomes more prevailing. ” – In the bioinformatics industry, we invented new systems and patented commercial products that assisted in finding shroud connections between human genes properly after the human genome was sequenced. This involved radiation pattern recognition and prediction ( a column of AI/ML ). This was when the term ‘ Data Science ’ did not exist when everyone called it ‘ Data Mining ’ and ‘ Knowledge Discovery ’ aka AI. – In the bioinformatics diligence, our group worked with Rob Tibshirani and Trevor Hastie, both top flat figures in statistics, data mine ( AI ) : hypertext transfer protocol : //en.wikipedia.org/wiki/Robert_Tibshirani hypertext transfer protocol : //en.wikipedia.org/wiki/Trevor_Hastie – Based on our work, we were invited to Lawrence Berkeley National Laboratory/DOE/DOD to work on ‘ particular ’ projects 10–20 years ahead of their clock time related to developing systems to find concealed connections between genes that extended human life and chromosomal damage related to LET Radiation ( quad radiation ) for the aim of space life science and extended space travel related future population of habitable planets. We continue knead in the area with Mina Bissell, Life Sciences division director at Lawrence Berkeley Lab for 14 years and distinguished scientist : hypertext transfer protocol : //youtu.be/xukDIWFMU9Y – While at the Lab, we had the privilege of collaborating with Michael I. Jordan ( teacher of Andrew Ng who built Google ’ s AI foundation which all others sit on circus tent of today ) and David Blei, ‘ grandfather ’ of LDA ( subject model, AI related to predicting topics in human terminology ) referee : statistical model of biomedical corpora : mining the Caenorhabditis Genetic Center Bibliography for genes related to animation straddle — Blei DM, Franks K, Jordan MI, Mian IS. — hypertext transfer protocol : //www.ncbi.nlm.nih.gov/pmc/articles/PMC1533868 — Min : 1:01:51 hypertext transfer protocol : //www.youtube.com/watch ? v=28TefyYoAm4 & t=3711s In the past, we ’ ve raised capital for more than one startup including $ 7.4M for our largest inauguration with 50M MAUs and 250M searches per month along with successfully disrupting the music grocery store related to Apple, Warner and EMI based on our study above and described here :
hypertext transfer protocol : //medium.com/startup-frontier/steve-jobs-made-warner-music-sue-my-startup-9a81c5a21d68 More on our work : ‘ Word2Vec is based on an approach from Lawrence Berkeley National Lab ’ hypertext transfer protocol : //www.kaggle.com/c/word2vec-nlp-tutorial/discussion/12349 Products: The easiest way to understand what Vectorspace AI does would be jump right into it by observing a real life consequence that resulted in an opportunity to profit based on our NLP/NLU real-time datasets and connected to what ’ randomness called ‘ information arbitrage ’. Our platform, which includes datasets and products that can built on top of them, enable known and hidden relationship detection in data. Our datasets can be used to cluster entities that have known and hidden relationships to outside events, global trends or news. These clusters can represent networks of suppliers, companies working on similar drugs or any entity that might have symbiotic, parasitic or charitable latent web with another entity, event or ball-shaped vogue. Examples and case studies are located here: hypertext transfer protocol : //vectorspace.ai/examples hypertext transfer protocol : //www.alpha-week.com/dexamethasone-announcement-could-have-made-hedge-funds-fortune hypertext transfer protocol : //www.elastic.co/blog/generating-and-visualizing-alpha-with-vectorspace-ai-datasets-and-canvas Create a visualization from one of our datasets: hypertext transfer protocol : //vectorspace.ai/vis/relationship-network real-time heatmap cluster :
hypertext transfer protocol : //vectorspace.ai/vis/heatmap/stocks-by-drugs.html Hidden relationship network bunch :
hypertext transfer protocol : //vectorspace.ai/vis/clusters/v2/ More details on our products :
hypertext transfer protocol : //vectorspace.ai/vis/heatmap/ An example of how our customers make money with our intersection, an equity-based case discipline of the Celgene ( CELG ) acquisition : hypertext transfer protocol : //vectorspace.ai/assets/Vectorspace-NLP-Dataset-Use-Cases-v03.1.pdf Revenue model: VXV Revenue model ( with mathematical proof ), slide 14 : hypertext transfer protocol : //vectorspace.ai/assets/VXV_Deck_External.pdf ( Revenue calculation breakdown : hypertext transfer protocol : //vectorspace.ai/assets/the-math.txt ) Tokenomics: The VXV utility nominal network diagram is described in contingent here, slide 11 : hypertext transfer protocol : //vectorspace.ai/assets/VXV_Deck_External.pdf The value of the Vectorspace VXV utility token : What is the network worth ? – Billions. This is because we are a data company with a focus on tax income generating customers which are trillion dollar asset management companies, funds and other fiscal institutions. Our caper is to help them make money by providing them with an border. This happens based on our product, NLP/NLU on-demand datasets that are updated every minute and based on any data they choose. Our gross model, described, includes related details. – You ’ ll besides find our token transaction network diagram in that deck which illustrates how our VXV token is use. This includes transacting dataset updates along with our Data Provenance Pipeline ( DPP ) hash which controls data lineage ( aka birthplace ). Knowing where your data comes from and knowing how reliable it is, is extremely important to fiscal institutions that rely on it to make billion-dollar decisions everyday. We give fiscal institutions an boundary that to them, is worth billions.

Why is the nominal valuable ? – value created by our residential district which includes the core team, the outdoor team and contributing members of our global community, translates immediately into the value of the VXV utility token and as a ball-shaped public trade vehicle. – VXV utility tokens do not function like a security or currency and share only minor similarities with e.g. Google Cloud credits, AWS credits or WeWork utility credits due to VXV doubling as a public trade vehicle in a global public marketplace. – Our top-tier proprietary datasets and algorithm deployed in the fiscal markets that enable asset management groups, hedge funds and institutions to generate and capture alpha, can only be used by a restrict numeral of customers. In this occupation, it ’ s a common requirement from our top-tier customers to prevent saturating the market. It ’ s like giving everybody the accurate same weapons. This means the value of VXV is controlled by our customers, who will besides be taking farseeing term positions in VXV. It only makes sense and it ’ s not in our dominance. – In decree to serve our customers by rights, we ’ ve carved out a public marketplace which allows them to acquire blocks of VXV and out-bid other customers if they ’ d like to ‘ corner the grocery store ’ on particular proprietorship datasets. This happens when they sign-up for top-tier services and pay for them by acquiring and bid for VXV on the exposed market. once acquired, their wallet address can be used inside the VXV network to access top-tier services based on the VXV wallet-enabled API key. These services besides include tracking of data descent via the Data Provenance Pipeline ( DPP ) hash. – The VXV utility program token credit besides doubles as a global public trade vehicle available to be transacted, acquired, bought and sold between anyone, including speculators, in the global public crypto markets via the ProBit substitute and soon to be, one or two other larger exchanges. This means a farmer in Kenya or a villager in Borneo can acquire VXV to entree a dataset one minute and resell VXV to a trillion dollar asset management company the future minute in switch over for “ JPM coin ” for example. This is completely out of our manipulate. – We have plans on enabling machines ( data engineering pipelines onsite at customer locations ) to transact VXV with one another for the purpose of ‘ minimizing loss ’ which is at the core of effective ML/AI. – In the case of an M & A event or strategic investment by one of our customers, or outside companies or investors, the VXV utility token will be the most valuable asset they acquire related to this company based on the above. This is if we allow any M & A in the first plaza of course. This is how we ’ ve financially engineered, structured and positioned Vectorspace AI. Reddit : hypertext transfer protocol : //www.reddit.com/r/VectorspaceAI/ telegram : hypertext transfer protocol : //t.me/joinchat/GrCYjA8rPgD8coAiEhRuBA ERC20 etherscan and contract address : hypertext transfer protocol : //etherscan.io/token/0x7D29A64504629172a429e64183D6673b9dAcbFCe How to acquire & trade VXV on exchanges :
hypertext transfer protocol : //medium.com/ @ 492727ZED/vectorspace-ai-vxv-customer-on-boarding-instructions-61aff13b66a9 chinese : hypertext transfer protocol : //vectorspace.ai/assets/VXV-IDEX-on-boarding-CH.pdf Partners & Collaborators: S & P Global hypertext transfer protocol : //www.spglobal.com/en/ Amazon hypertext transfer protocol : //aws.amazon.com/ Microsoft hypertext transfer protocol : //www.microsoft.com/ CloudQuant hypertext transfer protocol : //info.cloudquant.com/ Neudata hypertext transfer protocol : //www.neudata.co/ Elastic ( ESTC ) hypertext transfer protocol : //finance.yahoo.com/quote/ESTC ? p=ESTC WorldQuant hypertext transfer protocol : //www.worldquant.com/home/ Lawrence Berkeley National Laboratory hypertext transfer protocol : //www.lbl.gov National Library of Medicine ( NLM ) hypertext transfer protocol : //www.nlm.nih.gov/pubmed The European Molecular Biology Laboratory ( EMBL ) hypertext transfer protocol : //www.embl.de CERN — European Organization for Nuclear Research hypertext transfer protocol : //home.cern/ LCX hypertext transfer protocol : //www.lcx.com/ Trustology hypertext transfer protocol : //trustology.io/ Selected Patents, Papers & Awards: Articles authored by the founders : hypertext transfer protocol : //medium.com/ @ 492727ZED Winner R & D100 Award — Lawrence Berkeley National Laboratory hypertext transfer protocol : //newscenter.lbl.gov/news-releases/2008/07/09/berkeley-lab-wins-four-2008-rd-100-awards system and method for generating a relationship network — K Franks, CA Myers, RM Podowski — US Patent 7,987,191, 2011
hypertext transfer protocol : //www.google.com/patents/US798719 Inter-term relevance analysis for large libraries
hypertext transfer protocol : //patents.google.com/patent/US20030204496A1/en Matching and recommending relevant video and media to individual search engine results https : //patents.google.com/patent/US8037051B2/en Media discovery and playlist genesis hypertext transfer protocol : //patents.google.com/patent/US8117185B2/ system and method acting for summarizing search results
hypertext transfer protocol : //patents.google.com/patent/US20080154886A1/en Discovering and scoring relationships extracted from homo generated lists
hypertext transfer protocol : //patents.google.com/patent/US8108417B2/en statistical model of biomedical corpora : mining the Caenorhabditis Genetic Center Bibliography for genes related to life cross — Blei DM, Franks K, Jordan MI, Mian IS. hypertext transfer protocol : //www.ncbi.nlm.nih.gov/pmc/articles/PMC1533868 A Search Engine that Thinks, Almost
hypertext transfer protocol : //newscenter.lbl.gov/2005/03/31/a-search-engine-that-thinks-almost Social Media hypertext transfer protocol : //www.reddit.com/r/VectorspaceAI/ hypertext transfer protocol : //twitter.com/Vectorspace_AI

hypertext transfer protocol : //www.linkedin.com/company/vectorspace-ai hypertext transfer protocol : //vectorspace.ai/press.html Upcoming newsworthiness and announcements : Coming soon !

source : https://gauday.com
Category : Crypto News

We will be happy to hear your thoughts

Leave a reply

GauDay Crypto news and market tracking in real time
Logo
Enable registration in settings - general