- ProBit Global has partnered with Vector Space Biosciences to list the SBIO token.
- The SBIO/USDT and SBIO/ETH trading pairs are now live on ProBit, providing global exposure for the project.
- Vector Space Biosciences utilizes AI and machine learning models to drive cancer research, nutrigenomics, and materials science.
Leading crypto exchange ProBit Global has unveiled its most recent collaboration in the crypto space, an agreement to feature SBIO, the native token powering Vector Space Biosciences, on its platform.
Vector Space Biosciences, the parent company of AI research firm Vectorspace, utilizes SBIO to power its work at the crossroads of artificial intelligence, biosciences, and space technology.
According to the notification, the SBIO/USDT and the SBIO/ETH trading pairs have debuted on ProBit Global after a thorough review and due diligence process. Per the official statement, ProBit Global’s listing of SBIO promotes the token to a vast international user base, given the exchange’s prominence in the global ranking of trading outlets.
According to Sofia M’barek, the business development manager at ProBit Global, the listing underscores the robust fundamentals of SBIO and ProBit Global’s commitment to pushing boundaries. M’barek expressed pride in onboarding another esteemed project to their trading platform.
Also, M’barek noted that this listing marks another opportunity for users to profit as the crypto industry gradually enters the bull season. The ProBit manager stated users can expect more exciting marketing activities, ranging from trading competitions to free airdrops, providing them with a chance to win token prizes and enhance their portfolios.
Notably, Vector Space Biosciences is actively engaged in designing, developing, and executing microsatellite missions. The aim is to collect unique datasets related to microgravity and radiation exposure. These datasets are integral to crafting countermeasures against diseases associated with spaceflight, propelling scientific discoveries in the biosciences.
Vector Space Biosciences utilizes AI and machine learning models, including GPT-3 and BERT, to craft specific datasets through experimental language pipelines. These dynamic datasets, generated in real-time, drive AI operations in areas like aging, cancer research, nutrigenomics, and materials science.
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