Robust Auto-associative Memory via Convolutional Restricted Hopfield Networks
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Noticias de IA
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Distributed Model Predictive Control with Adaptive Safety Zones for Multi-Fleet Drone Ope…
Platooning Connected, Autonomous, and Human-Driven Vehicles: A Deep Reinforcement Learnin…
Measuring the Occupation-Level Impact of AbbVie Intelligence: AI Applicability Analysis, …
Design Principles for Human-Agent Interaction
Efficient Safety Benchmarking via Item Response Theory
Signals in the Noise: Open Source Intelligence (OSINT) for AI Loss of Control Detection
Understanding Privacy by Formalizing It
CourseBlueprint: A Structured Pipeline for Adaptive Pedagogical Video Generation Grounded…
Distributed Quantum Learning over Near-term Devices: Convergence Analysis and Security De…
AI Companions as Hyper Attachment and Caregiving Targets
HAAS Studio: A Tool for Simulating, Benchmarking, and Governing Human-AI Work Allocation
Delay-Adaptive Speculation Control for Low-Latency Edge-Cloud LLM Inference
Optimization-as-a-Service via Multi-Agent Large Language Model for Radio Access Networks
Protocol-Aware Tokenization and Architecture Co-Design for Wireless Packet Foundation Mod…
Turning Intent into Specifications: A Benchmark and an Interactive User-Assistant Agent
Role-Based Agentic AI for Intent-Driven Network and Service Orchestration
Human-Less LLM Serving: Quantifying the Human Tax on Throughput
Investigating Linguistic Steering: An Analysis of Adjectival Effects Across Large Languag…
Less is More: Lightweight Prompt Compression for Question Answering Applications on Edge …
Infrastructure for the Agentic Web: Gap Analysis and Architecture from the Agentverse Pla…
AI-Native Network Controller: A Modular Framework for Safe Agentic Control of Multi-Domai…
Ghost Vectors: Soft-Deleted Embeddings Remain Reconstructible in HNSW Vector Databases
Teaching LLMs String Matching, Backtracking, and Error Recovery to Deduce Bases and Truth…
TailorMind: Towards Preference-Aligned Multimodal Content Generation
AI-driven Optimisation of Quality of Recovery (QoR) in Remote Patient Monitoring
SPIRAL: Learning to Search and Aggregate
VeriEvol: Scaling Multimodal Mathematical Reasoning via Verifiable Evol-Instruct
POTracker: Optimizing Large Language Models for Standard-Compliant Power Outage Report Ge…
CADRE: Stable, Parameter Efficient Adaptation of Medical Vision Language Models with Boun…