FedEx is using AI to change how package tracking and returns work for large enterprise shippers. For companies moving high volumes of goods, tracking no longer ends when a package leaves the warehouse. Customers expect real-time updates, flexible delivery options, and returns that do not turn into support tickets or delays. That pressure is pushing logistics firms to rethink how tracking and returns operate at scale, especially across complex supply chains. This is where artificial intelligence is starting […]

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Frequent OTA updates in large commercial fleets must be planned around limited ground windows and strict safety requirements. Our study develops a phased OTA strategy that adapts update decisions to aircraft operational states. Real-time ACARS/ADS-B data and maintenance logs were combined to train an LSTM-Attention model for predicting remaining ground time, achieving an RMSE of 4.7 minutes. An integer-programming scheme then assigned update granularity and rollback plans across short stops, overnight stays, and scheduled A/B/C checks. Experiments using […]

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arXiv:2601.02381v1 Announce Type: new Abstract: Inductive cold-start recommendation remains the “Achilles’ Heel” of industrial academic platforms, where thousands of new scholars join daily without historical interaction records. While recent Generative Graph Models (e.g., HiGPT, OFA) demonstrate promising semantic capabilities, their prohibitive inference latency (often exceeding 13 minutes per 1,000 requests) and massive computational costs render them practically undeployable for real-time, million-scale applications. To bridge this gap between generative quality and industrial scalability, we propose TAG-HGT, a cost-effective neuro-symbolic […]

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arXiv:2601.12155v1 Announce Type: new Abstract: Reconstructing 3D objects from images is inherently an ill-posed problem due to ambiguities in geometry, appearance, and topology. This paper introduces collaborative inverse rendering with persistent homology priors, a novel strategy that leverages topological constraints to resolve these ambiguities. By incorporating priors that capture critical features such as tunnel loops and handle loops, our approach directly addresses the difficulty of reconstructing high-genus surfaces. The collaboration between photometric consistency from multi-view images and homology-based […]

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The following workflow is a conclusion of the video: from Mu Li of Amazon flowchart TB next(“another paper”) subgraph p1 [“Pass 1(Selection)”] direction LR title[Title] abs[Abstract] conc[Conclusion] FaT[“Figures and Tablets”] title–abs–conc– FaT end p1.- dec{Decision}.-|”stop(low quality ornlow relation)”| next dec.-|”go on”| p2 subgraph p2 [“Pass 2(Selection)”] direction TB int_cit[“Introduction:nSome important Citations” ] method_ME[“Method:nwithout Math and Engineeringnfocus on figures and tablets”] end p2.-dec2{Decision} dec2.-|”too hard to understand,n go to one ofn the citationsnin introduction”

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Two months ago, I was looking for a way to program an AI for a video game and I stumbled upon Behavior Trees. Today I’ll be talking about what they are, why they are used and how. Behavior Trees Originally, behavior trees were used in the game industry to model the behavior of NPC characters, it then started getting used in other domains, such as robotics.

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arXiv:2601.22292v1 Announce Type: new Abstract: Multi-agent systems often operate in dynamic and uncertain environments, where agents must not only pursue individual goals but also safeguard collective functionality. This challenge is especially acute in mixed-motive multi-agent systems. This work focuses on cooperative resilience, the ability of agents to anticipate, resist, recover, and transform in the face of disruptions, a critical yet underexplored property in Multi-Agent Reinforcement Learning. We study how reward function design influences resilience in mixed-motive settings and […]

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arXiv:2601.04197v1 Announce Type: new Abstract: This paper proposes a fully unsupervised approach to the construction of verb collostruction database for Chinese language, aimed at complementing LLMs by providing explicit and interpretable rules for application scenarios where explanation and interpretability are indispensable. The paper formally defines a verb collostruction as a projective, rooted, ordered, and directed acyclic graph and employs a series of clustering algorithms to generate collostructions for a given verb from a list of sentences retrieved from […]

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