Technology is the core driver of Ant's future creation.
An award‑winning joint project by Shanghai Jiao Tong University and Ant Group unveils a multimodal foundation model and advanced detection techniques that dramatically improve AI‑driven content risk governance across massive online services.
The award‑winning WSDM 2025 paper reveals how recommendation models magnify popularity bias through spectral alignment of the rating matrix’s leading singular vector with item popularity, and proposes the ReSN regularization technique to mitigate this bias efficiently.
This article details the architectural analysis and a series of six optimization strategies—including multithreading, independent audio, file‑system improvements, text rendering, dedicated render thread, and iOS high‑performance mode—that collectively boost frame rates, reduce latency, and enhance the overall user experience of Alipay mini‑games.
This article presents a comprehensive overview of the security challenges in HarmonyOS native ArkTS applications and describes the design and implementation of a specialized static analysis framework—including source extraction, data‑flow and inter‑function analysis, knowledge‑graph construction, and risk inference engine—while also outlining integration into development pipelines and future research directions.
At ICLR 2025 in Singapore, Ant Group and Tsinghua University showcased the open‑source reinforcement‑learning platform AReaL and the multi‑agent system AWorld, highlighting their recent breakthroughs, system design challenges, performance results on the GAIA benchmark, and upcoming development plans.
At the second Wuhan Cybersecurity Innovation Forum, Ant Group unveiled its AI‑powered "parallel security slice" approach for threat detection, detailing a multi‑layer defense system that leverages a DKCF framework, large‑model reasoning, and knowledge graphs to improve accuracy, reduce false alarms, and uncover unknown threats in complex digital enterprises.
The International Symposium on Computer Architecture (ISCA) 2025 accepted two Ant Group research papers—FAST and Neo—detailing novel fully homomorphic encryption accelerators that combine cryptographic optimizations with hardware design to achieve significant performance gains for privacy‑preserving computation.
The InclusionAI open‑source community, initiated by Ant Group, will showcase the latest advances of its reinforcement‑learning framework AReaL and multi‑agent framework AWorld at the ICLR 2025 conference in Singapore, highlighting performance breakthroughs, open‑source contributions, and industry‑focused AI research.
The 18th China Electronics Information Conference will be held in Chengdu from April 17‑21, 2025, featuring the DATA+AI forum that gathers leading academicians and industry experts to discuss data‑AI integration, with detailed speaker biographies, presentation titles, and abstracts covering topics such as large‑model inference, cloud‑edge ultrasound diagnostics, and the future of databases in the AI era.
This article explains the MCP protocol and Function Call mechanism for large language models, detailing how tools are described, invoked, and processed, and provides practical code examples ranging from OpenAI JSON specifications to fast‑MCP Python and Spring MVC implementations.
