Pharos Network partners with Hong Kong university to explore AI in prediction markets

Pharos Network launches AI research project with University of Hong Kong

Pharos Network, a modular Layer-1 blockchain, has announced a joint academic research project with the University of Hong Kong-Standard Chartered Foundation FinTech Academy1

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. The collaboration aims to explore how AI can transform predictive decision-making within prediction markets, bridging academic research with practical blockchain applications. Structured within the Master's Capstone Project framework at HKU Business School, the initiative will see eight Master's students conducting an intensive three-month study on the application of AI models in forecasting event probabilities2

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. Pharos will provide access to on-chain datasets and expert guidance throughout the program, particularly related to institutional-grade financial systems and its AI tech stack1

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From academic theory to real-world deployment through ecosystem incubator

The partnership goes beyond traditional academic research by integrating with the Pharos ecosystem incubator, creating a direct pathway from university labs to live network deployment1

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. Promising projects emerging from the three-month study will be fast-tracked into Pharos' $10M global incubation program, which is designed to accelerate real-world asset and DeFi projects on the blockchain1

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. This value loop allows students to move beyond theoretical modeling to building systems activated on a live Layer-1 blockchain technology platform2

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. Pharos will provide comprehensive support including technology, funding, and guidance from validation through market implementation, giving participants a practical grounding in what AI can accomplish in real-world financial environments.

High-performance infrastructure powers prediction markets research

Pharos' technical infrastructure is specifically suited for prediction markets applications, featuring the Smart Access List Inference (SALI) Parallel Execution Engine capable of delivering 30,000 TPS with sub-second finality1

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. This high transaction processing throughput is essential for platforms that handle massive betting volumes and require real-time settlement capabilities. Additionally, Pharos has deployed the X402 AI module designed specifically for agent interaction, providing a framework for AI agents to participate in automated predictions while handling payments between different agents2

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. Students will conduct research on the live network during the study period, tapping into vast amounts of onchain data to test whether AI can model event probabilities with greater accuracy than humans.

Strategic positioning in Asian markets through academic collaboration

The initiative represents a strategic move for Pharos Network to establish its presence in Hong Kong and the broader Asian market by funneling top academic talent into its AI-focused ecosystem3

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. Dr. You Yang, Assistant Professor of Finance at the University of Hong Kong, noted that "Our collaboration with Pharos Network offers students a unique opportunity to test these theoretical frameworks in a real-world tech environment. I anticipate that their rigorous empirical analysis will contribute valuable insights to this field"2

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. The partnership with one of Asia's leading universities deepens ties between academic and blockchain worlds, potentially transforming student ideas into real-world applications that burnish Pharos' reputation as a leading blockchain built for AI and institutional finance2

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