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Amit Shah to launch digital land port management system
NEW DELHI: Union home minister Amit Shah will on Tuesday launch the Land Port Management System (LPMS), a state-of-the-art platform that will enable end-to-end digital workflows for cargo processing and passenger movement at all land ports, on par with the systems at airports and seaports, and enable interoperable, efficient and transparent border management. LPMS is being unveiled amid PM Modi government’s enhanced focus on ‘smart’ borders that harness modern technology for efficient border...
Amit Shah to unveil Land Port Management System for smarter border operations
Home minister Amit Shah on Tuesday will launch the Land Port Management System (LPMS), a state-of-the-art platform that will enable end-to-end digital workflows for cargo processing and passenger movement at all land ports, on par with the systems at airports and seaports, and enable interoperable, efficient and transparent border management. LPMS is being unveiled amid the Narendra Modi govt’s enhanced focus on ‘smart and safe’ borders that harness modern technology and tools for security...
AeroMesa: Efficient Data Management System for Multi-Dimensional Spatio-Temporal Trajectories
arXiv:2606.09581v1 Announce Type: new Abstract: The rapid growth of trajectory data -- especially the dense 4D traces generated by unmanned aerial vehicles (UAVs) -- is placing mounting pressure on spatio-temporal data management systems. Existing HBase-based trajectory indexes suffer from three limitations: coarse-grained temporal pruning, locality-unfriendly XZ2 spatial encodings with workload-blind ordering, and severe row-key interval fragmentation when altitude is jointly encoded with...
Agent Operating Systems (AOS): Integrating Agentic Control Planes into, and Beyond, Traditional Operating Systems
arXiv:2606.01508v1 Announce Type: new Abstract: Traditional operating systems were designed around deterministic programs, explicit control flow, and human initiated workflows. Their core abstractions processes, threads, system calls, files, and permissions assume bounded behavior and predictable interaction patterns. Agentic AI systems introduce a different execution model: long-lived, goal-directed entities that reason probabilistically, invoke tools dynamically, and adapt behavior based...
AI Assurance in UK Defence: Challenges in Operationalising JSP 936
Announce Type: new Abstract: This report examines practical challenges in operationalising JSP 936 Part 1 for AI assurance in UK Defence. Using a structured interpretive review of the directive's requirements, the analysis identifies eight thematic challenge areas adequacy of evidence and argument, management of human interaction with AI, definition of the operational environment, integration of AI within systems of systems, assessment and maintenance of AI performance, analysis of safety...
DRAN: A Distribution and Relation Adaptive Network for Spatio-temporal Forecasting
arXiv:2504.01531v4 Announce Type: replace Abstract: Accurate predictions of spatio-temporal systems are crucial for tasks such as system management, control, and crisis prevention. However, the inherent time variance of many spatio-temporal systems poses challenges to achieving accurate predictions whenever stationarity is not granted. In order to address non-stationarity, we propose a Distribution and Relation Adaptive Network (DRAN) capable of dynamically adapting to relation and...
An AI Security Agent for University ACMIS: Multi-Vector Threat Detection and Automated Response
Announce Type: new Abstract: University Academic Management Information Systems (ACMIS) are high-value targets for a wide spectrum of security threats including brute-force login attacks, payment fraud, privilege escalation, insider data theft, and academic integrity violations. Traditional rule-based intrusion detection systems are inadequate because many malicious activities are structurally indistinguishable from normal operations. This paper presents an AI-based security agent for ACMIS...
ZTE showcases AI-driven project management innovations at the 14th IPMA Research Conference 2026
ZTE Corporation today showcased its pioneering achievements in digital transformation and AI-driven project management at the 14th IPMA Research Conference in Bogotá, Colombia. During the conference, Wang Yuzhu, Managing Director of Engineering Services at ZTE Colombia, and Jose Perez, Senior Expert in Engineering Delivery Management at ZTE, delivered a keynote speech themed "The Digital and Intelligent Future of Project Management", highlighting ZTE's practical experiences and innovative...
TeeDAO: A Decentralized Autonomous Organization for Heterogeneous TEEs
Announce Type: new Abstract: Trusted Execution Environments (TEEs) have emerged as a critical technology for safeguarding sensitive data and ensuring code integrity in modern computing systems. However, relying on a single TEE implementation makes systems vulnerable to a central point of attack. Building distributed-trust systems leveraging heterogeneous TEEs helps disperse trust but still faces threats from centralized management and adaptive mobile adversaries.
Multi-Segment Attention: Enabling Efficient KV-Cache Management for Faster Large Language Model Serving
Announce Type: new Abstract: Large Language Model (LLM) inference relies on key-value (KV) caches to avoid redundant attention computation. While approximate KV cache retention techniques reduce memory usage by sacrificing model accuracy, lossless approaches instead evict KV cache blocks from GPU memory and reconstruct them on demand to preserve exact outputs. Existing lossless KV cache management systems primarily base eviction decisions on access frequency or positional heuristics, without...