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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Kun Wang

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Open access 2026

Contact-Capacity-Aware Feasibility and Scheduling-Complexity Boundaries in LEO Satellite–Terrestrial MEC With In-Loop KKT Resource Allocation

Low-Earth-orbit (LEO) satellite–terrestrial networks can extend mobile edge computing (MEC) beyond dependable terrestrial coverage, but short orbital contacts and time-varying rates couple task assignment with subsequent resource sharing. Many existing formulations equate geometric visibility with usable service or eva...

Heng-Li Jin, Kun Wang · 0 citations
#artificial intelligence May 2026

HaM-World: Soft-Hamiltonian World Models with Selective Memory for Planning

HaM-World is proposed, a structured world model that combines history-conditioned selective memory with a Soft-Hamiltonian latent dynamics prior that ranks first on four tasks and second on two, achieving the highest average AUC on the four-task core suite.

Hao Tang, Haodong Cui, Ke Xu et al. · 2 citations
Preprint Aug 2026

Mint-Agent: Introducing Finance-Native Agentic Foundation Models

Mint-Agent, a family of finance-native agentic models designed around these two scales of financial intelligence, is presented, establishing a path toward trustworthy financial intelligence in which domain expertise, long-horizon execution, and auditable evidence are jointly engineered as a unified foundation for front...

Mint-Agent Team, Kun Wang, Gavin Zhang et al. · 0 citations

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