VECTOR SPACE BIOSCIENCES - Accelerating Discovery

@imsubratanandi Our proprietary language models are custom-built and trained to detect hidden relationships between equities, entities, and global events. In seconds, from global breaking news (or general global catalyst) to a context controlled thematic basket.

@VectorSpaceBio What's new or special in it?

Prompt. Analyze. Trade. Vector Signal by Vectorspace AI X. $VAIX

Prompt. Analyze. Trade. Real-time signals. Real market action. Vector Signal by Vectorspace AI X. $VAIX

Prompt. Analyze. Trade. Get in on the action. Vector Signal by Vectorspace AI X. $VAIX

@Crypt___O The application within the phone is the actual application in development. More information will be released soon!

@VectorSpaceBio When will this be available?

Vectorspace AI X ($VAIX), subsidiary of Vector Space Biosciences, is developing an AI platform for finance to provide investors with predictive M&A analytics, thematic baskets generation, a TradeGPT and other hedge fund-caliber research tools.

Vector Space Biosciences @ Space Tech Expo 2025 vsbio.substack.com/p/vector-space…

SNX10 Short Index We’ve built SNX10 to track the memecoin bleed. When meme crash, SNX10 rises. It’s our inverse weapon for the crypto wild west. Explore how it works: vsbio.substack.com/p/trading-the-…

Announcing the VXV to VAIX token swap. The next generation VAIX token will provide expanded utility across biosciences, finance, and space initiatives. vectorspacebio.science/vxv-swap/ NOTE: the official VAIX token address is: 0xB7b37b81d4497AB317fc9d4A370CF243043d6bBe. Ensure that you interact only with this token address during the swap process or any transactions involving the VAIX token. Do not interact with any other token address or swap that is not the one listed. This is crucial to ensuring the safety and authenticity of your assets.

"...deep learning pioneer Geoffrey Hinton [Winner of the 2024 Nobel Prize in AI]  at a recent presentation to the Royal Society, the U.K. national academy of science. Hinton, a distinguished researcher for Google and distinguished professor emeritus at the University of Toronto, said, "The first thing you do with a word symbol is you convert it to a word vector. And you learn to do that, you learn for each word how to turn a symbol into a vector, say, 300 components, and after you've done learning, you'll discover the vector for Tuesday is very similar to the vector for Wednesday." The result, Hinton said, is that given enough data, a language model can then generalize: for any plausible sentence with Tuesday in it, there's a similar plausible sentence with Wednesday in it. More broadly, words with similar vector scores can be used to classify and cluster concepts. Companies using vector-based NLP technologies in production analyze concepts as varied as documents referring to a business's financial activity or fashion customers' reviews of a piece of clothing to try to help predict what type of customer will gravitate toward a certain style, much more quickly than could active human curation alone."

PRESS RELEASE: Advacam & Vector Space Biosciences sign Letter of Intent (LOI) to Develop AI Models & CubeSat Payloads for the Space Industry businesswire.com/news/home/2024…

Say hello to your Tardigrades/Waterbears space crew. They'll be sending transmissions back to you once they're in LEO (Low Earth Orbit). Learn more on our Telegram channel: t.me/joinchat/GrCYj…

We are thrilled to announce a major breakthrough in our mission to transform space-based biotechnology and scientific research: a groundbreaking, pioneering CubeSat launch that will showcase cutting-edge tech, pave the way for a new era in accelerating space-based research, discoveries and innovation, and unlock unprecedented scientific possibilities. Learn more on our Telegram channel: t.me/joinchat/GrCYj…