Palo Alto, California, December 16, 2024, Chainwire
This partnership establishes the primary AI x Web3 Lab at Stanford College's Way forward for Digital Forex Initiative.
Stanford College's Way forward for Digital Forex Initiative (FDCI) and Eliza Labs, creators of the open-source agent framework Eliza, in the present day introduced a pioneering analysis partnership to discover how autonomous synthetic intelligence brokers are remodeling digital forex methods. The collaboration, scheduled to start in Q1 2025, combines Stanford's experience in digital forex analysis with Eliza Labs' cutting-edge capabilities in autonomous agent growth.
Leveraging Eliza Labs' open supply framework for autonomous agent growth, the partnership will deal with the elemental questions of how AI brokers can set up belief, coordinate actions and make selections inside decentralized monetary methods. This analysis comes at a crucial second when autonomous brokers are more and more impacting financial methods and monetary companies, with the Eliza framework offering a confirmed basis for creating dependable and scalable agent-based methods.
“This collaboration presents a singular alternative to form how AI brokers will work together inside digital economies,” mentioned Professors Dan Boneh and David Mazières, who will oversee the analysis fellowship program. “Combining FDCI's established infrastructure with Eliza Labs' experience in multi-agent methods places us on the forefront of this transformative know-how.”
“We’re extremely excited to associate with Stanford's Way forward for Digital Forex Initiative, one of the prestigious digital forex analysis applications, to discover how synthetic intelligence brokers can reshape the way forward for monetary methods,” mentioned Shaw Walters, founding father of Eliza Labs. Collectively, we mix the educational rigor of Stanford with our extensively used Eliza AI agent framework to foster belief and governance in decentralized economies.”
The analysis program will probably be developed in three phases throughout 2025 and can concentrate on three principal areas:
- Agent Belief Mechanisms: Growing new frameworks for the way autonomous brokers set up and confirm belief in digital forex networks, based mostly on Eliza Labs' current agent belief structure
- Multi-agent financial methods: Inspecting how brokers work together and coordinate in financial contexts
- Decentralized administration of brokers: Creating new protocols for managing communities of autonomous brokers
The initiative will create open-source frameworks, simulation platforms and sensible purposes in automated market-making methods and decentralized monetary companies. Preliminary findings and developments will probably be shared by peer-reviewed publications and trade shows.
The partnership actively seeks chosen industrial collaborators, affords early entry to rising applied sciences and direct involvement in shaping analysis instructions. For blockchain infrastructure enterprise companies and companions, this presents a possibility to steer the event of agent know-how whereas having access to new technical expertise within the trade.
Analysis outcomes will embody new belief frameworks for autonomous brokers, scalable protocols for multi-agent coordination, and formal fashions for managing brokers in decentralized methods. The aim of this growth is to create primary requirements for the interplay of brokers in digital economies.
About Eliza Labs
Eliza Labs is on the forefront of creating next-generation autonomous agent methods. Based in 2024, Eliza Labs is the creator of the Eliza Agent Framework, an open supply platform designed to revolutionize the way in which autonomous AI brokers are created, deployed, and managed. The Eliza framework allows highly effective multi-agent simulations and empowers builders, researchers, and enterprises to construct superior synthetic intelligence methods.
Eliza Labs is dedicated to pushing the boundaries of AI know-how and shaping the way forward for clever, autonomous methods. For extra info, customers can go to https://elizaos.ai
ContactFounderSarah CohenSJC PRpress@eliza.methods
This text was initially printed on Chainwire
