Technology is the core driver of Ant's future creation.
The article reviews two recent ISCA 2025 papers—FAST and Neo—that introduce hardware and GPU‑based accelerators employing hoisting, KLSS, and Tensor Core optimizations to significantly boost the performance of fully homomorphic encryption workloads.
The award‑winning CDFuzz technique introduces a lightweight, targeted dictionary that eliminates extra instrumentation, achieves up to 16.1% higher coverage, discovers dozens of real bugs, and demonstrates that simple optimizations can outperform complex grey‑box fuzzing strategies across diverse file formats.
This announcement introduces a live session that will dissect two best‑paper award research works from WSDM 2025—one revealing how recommendation models amplify popularity bias through spectral analysis and proposing a lightweight regularizer, and the other presenting a graph disentangle causal model that integrates GNNs with structural causal models to improve causal inference on networked observational data.
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.
