Rishin Sharma

Jul 11, 2023 | blog.coinfund.io | Isaiah Washington |Rishin Sharma |Jake Brukhman |Einar Braathen

We are excited to announce that CoinFund has led a $3 million dollar round in Giza, a company working toward enabling AI models for blockchain smart contracts. Large tech companies have historically dominated the production of cutting edge machine learning models due to the significant resources required. These resources include vast amounts of data for training, high-performance computing infrastructure, and specialized expertise in machine learning.

Jul 11, 2023 | zephyrnet.com | Isaiah Washington |Rishin Sharma |Jake Brukhman

We are excited to announce that CoinFund has led a $3 million dollar round in Giza, a company working toward enabling AI models for blockchain smart contracts. Large tech companies have historically dominated the production of cutting edge machine learning models due to the significant resources required. These resources include vast amounts of data for training, high-performance computing infrastructure, and specialized expertise in machine learning.

Jul 11, 2023 | zephyrnet.com | Rishin Sharma |Jake Brukhman

We are excited to announce that CoinFund has led a $3 million dollar round in Giza, a company working toward enabling AI models for blockchain smart contracts. Large tech companies have historically dominated the production of cutting edge machine learning models due to the significant resources required. These resources include vast amounts of data for training, high-performance computing infrastructure, and specialized expertise in machine learning.

Jul 11, 2023 | zephyrnet.com | Isaiah Washington |Rishin Sharma |Jake Brukhman

5 min karanta·17 hours agoWe are excited to announce that CoinFund has led a $3 million dollar round in Giza, a company working toward enabling AI models for blockchain smart contracts. Large tech companies have historically dominated the production of cutting edge machine learning models due to the significant resources required. These resources include vast amounts of data for training, high-performance computing infrastructure, and specialized expertise in machine learning.

May 9, 2023 | cryptocompass.com | Crypto Compass |Jake Brukhman |Rishin Sharma

10 min learn·Sep 23, 2022by Rishin Sharma & Jake Brukhman. Particular because of everybody who gave suggestions on this piece, together with Nick Yakovenko, David Pakman, Jan Coppens, AC, Evan Feng, Adi Sideman. Supply: AI-generated picture from Lexica.artwork, a secure diffusion search engineTechnological innovation by no means rests, and that is very true for synthetic intelligence.