14
Samsung PM1763 PCIe Gen6 Enterprise SSD in Production
Samsung has commenced production of its PM1763 PCIe Gen6 enterprise SSDs to support high-performance AI servers.
14
APIVOT: Adaptive Planning with Interleaved Vision-Language Thoughts
The proposed APIVOT system combines linguistic and visual reasoning to help robots plan and execute complex, long-horizon tasks while respecting physical constraints.
14
Time-to-Collision Based Dynamic Obstacle Avoidance Using Pretrained Vision Models for Robots in Unstructured Environments
The paper proposes a data-efficient method that uses pretrained vision models to help mobile robots avoid dynamic obstacles in unstructured real-world environments.
14
Workflow as Knowledge: Semantic Persistence for LLM-Mediated Workflows
This paper introduces a language-independent conceptual model that uses symbolic forms and object identity to manage semantic persistence in large language model workflows.
14
PolyUQuest: Verifiable Structure-Aware Web RAG over Heterogeneous Graphs
The proposed PolyUQuest framework improves web-based retrieval-augmented generation by utilizing heterogeneous graphs to preserve the structural and semantic layout of HTML pages.
14
Nigeria Machinery: A Low-Resource Industrial Dataset with a Domain-Grounded Reasoning Layer
A new industrial dataset covering machinery usage and failures in Nigeria has been released to support quantitative analysis and language model training for African economies.
14
From Triggers to Emotions: A CPM-Grounded Appraisal Multi-Agent for Dynamic Emotional Evolution in Persona-Based Dialogue
A new multi-agent framework utilizes cognitive appraisal theory to enable dynamic emotional evolution in persona-based dialogue systems.
14
SHIFT: Survival Prediction from Incomplete and Heterogeneous Genomic Data
The proposed SHIFT framework improves survival prediction from genomic data by handling structural feature missingness across different clinical institutions.
14
SolarChain-Eval: A Physics-Constrained Benchmark for Trustworthy Economic Agents in Decentralized Energy Markets
SolarChain-Eval is a new physics-constrained benchmark designed to evaluate the performance and trustworthiness of autonomous AI agents in decentralized energy markets.
14
Play2Perfect: What Matters in Dexterous Play Pretraining for Precise Assembly?
This work investigates the key factors in dexterous play pretraining to enable multi-fingered robots to perform precise, contact-rich assembly tasks.
14
Correcting Visual Blur Induced by Attention Distraction to Reduce Hallucinations: Algorithm and Theory
This paper proposes an algorithm and theoretical framework to mitigate object hallucinations in multimodal large language models by addressing attention distraction and visual blur.
14
Curvature-Weighted Capacity Allocation: A Minimum Description Length Framework for Layer-Adaptive Large Language Model Optimization
A new curvature-aware optimization framework uses minimum description length principles to guide layer-adaptive capacity allocation and pruning in large language models.
14
GenDA: Generative Data Assimilation on Complex Urban Areas via Classifier-Free Diffusion Guidance
GenDA is a generative data assimilation framework that uses graph-based diffusion models to reconstruct high-resolution urban wind fields from sparse sensor data.
14
CoCo-Fed: A Unified Framework for Memory- and Communication-Efficient Federated Learning at the Wireless Edge
CoCo-Fed is a federated learning framework designed to reduce memory usage and communication bandwidth constraints when deploying large neural networks at the wireless edge.
14
ToDMA: Large Model-Driven Massive Token Communications for Semantic Multiple Access
The proposed Token-Domain Multiple Access scheme utilizes pretrained large models to optimize semantic recovery and efficiency in massive token-based communication networks.
14
From Application-Layer Simulation to Native Meta-Architecture: Structural Tension as an Endogenous Driver for Heterogeneous AI Evolution
The paper proposes a theoretical framework to integrate application-layer cognitive protocols directly into a native meta-architecture for large language models.
14
Pose-to-Biomechanics: Bridging 3D Human Pose Estimation and Biomechanical Attribute Prediction
The proposed BioModule framework aims to bridge the gap between 3D human pose estimation and the prediction of biomechanical attributes for clinical and sports applications.
14
Conversational AI for Rapid Scientific Prototyping: A Case Study on ESA's ELOPE Competition
A case study demonstrates how ChatGPT was used for rapid prototyping to process event camera data and estimate lunar lander trajectories for an European Space Agency competition.
14
The Context Access Divide: Interaction-Level Architecture as a Complementary Dimension of Agentic Inequality
The authors propose expanding the agentic inequality framework to include interaction-level architectural differences, highlighting how varying context access affects user experiences with AI agents.
14
Swapping Faces, Saving Features: A Dual-Purpose Pipeline for Pedestrian Privacy in ITS
A new face-swapping pipeline protects pedestrian privacy in autonomous vehicle training datasets while preserving critical behavioral features needed for trajectory prediction.
14
TMI: Text-to-Image Meets Image-to-Image for Complementary Data Synthesis to Boost Long-Tailed Instance Segmentation
Researchers designed a hybrid data synthesis pipeline that combines text-to-image and image-to-image generation to improve instance segmentation for rare object categories.
14
logicalqubit Launches Quantum Cloud for All Industries, as First Quantum Computing Companies Begin Harvesting
Hangzhou-based logicalqubit has introduced a quantum cloud platform offering both physical and logical qubit capabilities to transition from hardware sales to cloud services.
14
Applying JEPA-Style Predictive Learning to JA4-Derived Network Fingerprints
Researchers adapted the Joint Embedding Predictive Architecture to analyze compact network security fingerprints for threat detection.
14
Principled Analysis of Deep Reinforcement Learning Evaluation and Design Paradigms
This paper provides a structured analysis of the evaluation methodologies and design paradigms that have driven progress in deep reinforcement learning over the past decade.