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MLB Team Washington Nationals Partners With Terra Blockchain Community, Ballpark Plans to Accept UST

On February 9, the American professional baseball team based in Washington, D.C., the Washington Nationals, announced the team has partnered with Terra, the open-source blockchain platform and decentralized autonomous organization (DAO). The Washington Nationals detail that the team is a “leading innovator” and is “consistently introducing new technologies to enhance the fan experience.” Washington Nationals Ink Long-Term Deal With Terra Major League Baseball (MLB) team the Washington Nationals has partnered with the blockchain platform and DAO Terra, according to an announcement published by the team on Wednesday. The deal with Terra follows a slew of sports-related deals with crypto firms, but the MLB team will be the first to partner with an open-source blockchain project. In addition to the partnership, the algorithmic stablecoin UST that’s issued on the Terra blockchain will be “accepted as a payment method at Nationals Park as early as next season.” “The Nationals continue t...
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Vectorspace AI (VXV) flies under the radar to new highs as big data becomes the ‘new’ oil

High level partnerships and a focus on using artificial intelligence and big data to find solutions to complex problems are backing VXV’s quiet climb to new all-time highs.

“I’m in it for the tech,” is a phrase commonly used in the cryptocurrency ecosystem by many who want to express a deeper motivation for being involved with blockchain technology beyond the significant gains that are known to happen in the volatile asset class. 

One project that has quietly climbed the charts without the need to jump on the decentralized finance (DeFi) or nonfungible token (NFT) trend is Vectorspace AI (VXV), a protocol building correlation matrix datasets capable of detecting hidden relationships in data and training artificial intelligence (AI) systems.

Data from Cointelegraph Markets Pro and TradingView shows that since hitting a low of $0.71 on May 23, the price of VXV has skyrocketed 2,267% to a record high at $19.47 on Sept. 16 before experiencing a significant pullback alongside the rest of the crypto market.

VXV/USD 1-day chart. Source: CoinGecko

This week, the price action for VXV is once again on the rise as its 24-hour volume spiked 380% to $9.37 million on Nov. 11, resulting in an overnight price increase of 32.42% to an intraday high at $16.18.

The sudden boost in price and trading volume comes as VXV listed on the KuCoin exchange, the sixth-largest cryptocurrency exchange by trading volume.

Related: Digital intelligence must overcome challenges to solving crypto crimes

Flying under the radar

Aside from the above tweet announcing the KuCoin listing, the team at Vectorspace AI keeps a pretty low-key profile in terms of project announcements and marketing. Most of the project's Twitter feed features some of the latest developments and discoveries in the field of data analysis and bio-science.

With a focus on “context-controlled NLP/NLU (Natural Language Processing/Understanding)” and using AI to “discover hidden relationship detection in data related to space biosciences,” Vectorspace lacks many of the bells and whistles that catch the eye of the average crypto holder.

But to anyone who has been paying attention to the rising value and importance of data in the digital age, the ability to correlate and analyze large amounts of data to discover solutions that would take a human years to manually analyze is the “holy grail” in the world of data analysis.

For example, early on in the Covid-19 pandemic, Vectorspace technology was able to analyze years of medical research and findings to recommend a shortlist of substances that could possibly be used as treatment, helping scientists narrow down their search and save valuable time.

The ability to generate on-demand NLP/NLU correlation matrix datasets is a highly sought-after feature for researchers, especially when it comes to finding a way to “get machines to trade information with one another or exchange and transact data in a way that minimizes a selected loss function.”

According to the project’s website, the current list of partners and collaborators include PubMed.gov, the United States Department of Energy, the National Library of Medicine, the European Molecular Biology Laboratory, the Lawrence Berkeley National Laboratory and CERN. 

The views and opinions expressed here are solely those of the author and do not necessarily reflect the views of Cointelegraph.com. Every investment and trading move involves risk, you should conduct your own research when making a decision.

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