CS Colloquium: Ben Fielding (Gensyn) - The future of machine learning is decentralized

Speaker: Ben Fielding, Gensyn

Talk Title: The future of machine learning is decentralized

Abstract: It is now likely indisputable that machine learning is the next technical evolution.As we move from a world dominated by deterministic and imperative human-machine interactions into a world of probabilities and agentic decisions, the lower layers of our collective software stack must be re-architected to more appropriately cater to these methods. Electricity and compute must scale, raw data must be translated and compressed, human knowledge must be harnessed, and decision making must become much, much faster. In this talk, I’ll describe the progression of machine learning, the problems it faces both technically and philosophically as it rapidly scales throughout the world, and the state-of-the-art solutions that make this possible.Attendees will leave with a clear view on why, how, and when humanity will transcend deterministic machine relationships and become cybernetically diverse. Keywords: AI, Machine Learning, Deep Learning, Cryptography, Compilers, Game Theory, Blockchain.   This lecture satisfies requirements for CSCI 591: Research Colloquium

Biography: Ben is a co-founder of Gensyn, the decentralized machine learning compute protocol. Gensyn allows developers to use any GPU, CPU, TPU, etc. in the world to train their machine learning models at any scale and for a fair market price, with the work verified automatically and trustlessly. Ben has a PhD in computer science, where his research focused on evolutionary optimization of deep neural architectures for computer vision applications. He also previously co-founded a data privacy / sovereignty startup.

Host: Sai Praneeth Karimireddy

Location: Olin Hall of Engineering (OHE) - 132

Audiences: Everyone (USC) is invited

Contact: CS Faculty Affairs