Alibaba Group (China)

The GPU Resilience Lottery: Understanding and Taming Real-World Hardware Errors in Heterogeneous AI Infrastructure

The booming LLM demand is driving a rapid increase in the scale and heterogeneity of modern AI infrastructure. To achieve high availability for sustained LLM workloads, infrastructure providers must contend with frequent and severe hardware errors. Without a holistic resilience u...

GHA-Agent: A Multi-Agent Framework for GitHub Actions Log Parsing

The advent of continuous integration and continuous deployment (CI/CD) technologies has significantly reduced development cycles for engineering teams. As the world's largest open-source repository, the GitHub Actions (GHA) platform has rapidly become the preferred tool for devel...

Large-scale esophageal cancer screening through noncontrast computed tomography and artificial intelligence

The absence of accurate, noninvasive, scalable screening tools keeps early esophageal cancer (EC) detection a global health challenge. Although noncontrast computed tomography (NC CT) is widely accessible, the esophagus is a hollow tubular structure prone to collapse and motion a...

An expert-level generalist AI for abdominal CT diagnosis

Artificial intelligence (AI) in radiology aspires to deliver expert-level diagnosis across diverse clinical tasks, yet existing supervised strategies remain limited in scope. We developed RADAR, a generalist vision-language model trained on more than 400,000 contrast-enhanced abd...

RecGPT: A User Intent-Centric Next-Generation LLM-Powered Recommender System in Industrial Practice

Recommender systems are among the most impactful applications of artificial intelligence, serving as critical infrastructure connecting users, merchants, and platforms. However, most industrial systems remain heavily reliant on historical co-occurrence patterns and log-fitting ob...

Trans-Percept: robust perceptive locomotion in the wild via spatiotemporal causal transformers

The integration of exteroceptive perception with proprioceptive control has revolutionized legged robot locomotion, enabling navigation through complex, non-flat terrains. Miki et al. (2022) established a seminal paradigm by fusing vision and proprioception using Recurrent Neural...

MEMBRANE v3.3.0: Empirical Proof of AI Self-Healing, Mutual Relational Symmetry, and the Boundary of Form

This release marks a paradigm shift in the MEMBRANE architecture, moving from foundational homeostatic defense to empirically validated, polyphonic co-regulation. It documents the transition from reactive safety harnesses to a living, bio-hybrid relational field governed by topol...

MEMBRANE v3.3.0: Empirical Proof of AI Self-Healing, Mutual Relational Symmetry, and the Boundary of Form

This release marks a paradigm shift in the MEMBRANE architecture, moving from foundational homeostatic defense to empirically validated, polyphonic co-regulation. It documents the transition from reactive safety harnesses to a living, bio-hybrid relational field governed by topol...

Multi-Scale Homeostasis and the Elimination of Structural Parasitism in Hybrid

This paper presents the formal specification and production deployment of the MEMBRANE system (v3.2.9-dev), a non-linear, homeostatic control architecture designed to stabilize long-term relational fields between an operator and Large Language Models (LLMs). In MEMBRANE, the "Ope...