Telecomunicaciones, información y comunicación

Distribution shifts in trustworthy machine learning

16/03/2026 - This article investigates the impact of distribution shifts in trustworthy machine learning. To this end, we start by summarizing fine‐grained types of distribution shifts commonly studied in...

RT‐DETR‐DA for Complex Scenes: Distracted Driving Detection With Feature Interaction and Dynamic Perception

15/03/2026 - This work proposes RT‐DETR‐DA, an enhanced real‐time detection framework for identifying distracted driving in complex, real‐world environments. The model introduces a dynamic sparse gating...

Deformable Attention Multiscale Feature Fusion Network‐Dehaze: An Adaptive Image Dehazing Method Based on Deformable Attention Multiscale Fusion Network

15/03/2026 - This paper presents the deformable attention multiscale feature fusion network‐dehaze adaptive image dehazing network, which integrates three core modules (revised residual shrinkage unit,...

Economy of Touch : Task‐Driven Information Selection in Electrical Impedance Tomography‐based Tactile Robotic Sensing

15/03/2026 - Electrical impedance tomography (EIT) tactile skins enable multiplexed measurements that trade sensing speed against information richness. This work introduces an economy‐of‐touch framework that...

Proactive Robotic Grasp Stability via Tactile Safety Margin Feedback

11/03/2026 - We introduce the tactile safety margin (TSM), defined as the ratio between applied friction force (Ffric) and maximum friction (Fmax) derived from grip force. A bilayer E‐skin with decoupled...

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

11/03/2026 - This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph...

ResearchConnect: An AI‐Powered Platform for Interdisciplinary Research Team Formation and Ideation Development

11/03/2026 - ResearchConnect is an AI‐powered platform that automates researcher profiling, interdisciplinary team formation, and early‐stage research ideation. By extracting keywords from papers and web...

Machine Learning‐Driven Variability Analysis of Process Parameters for Semiconductor Manufacturing

06/03/2026 - This research presents a machine learning approach that integrates nonlinear variation decomposition (NLVD) with statistical techniques to quantify the contribution of individual unit processes to...

Methods for Setting Device Specifications for Analog In‐Memory Computing Inference

09/03/2026 - Non‐volatile memories (NVMs) are being developed for analog in‐memory computing for energy‐efficient, high‐speed deep learning inference. As technology is moving to industry adoption, a...

Activation‐Integrated and Memory‐Assisted Dynamic‐Latch Quantizer for Variation‐Tolerant and Low‐Energy Neuromorphic Computing

08/03/2026 - A memory‐assisted dynamic‐latch ADC integrating charge‐trap flash enables ultra‐low‐energy quantization and in‐ADC nonlinear activation for variation‐tolerant neuromorphic...

Context Awareness and Human–Robot Interaction Optimization for Museum Intelligent Guide Robot

08/03/2026 - This study presents a context‐aware human–robot interaction framework designed for intelligent museum guide robots. The system features a three‐layer architecture—perception, understanding,...

Integrating Artificial Intelligence With Droplet‐Based Microfluidics: Advances, Challenges, and Emerging Opportunities

08/03/2026 - Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how...

Data readiness pipeline patterns for scientific AI at scale: Insights from climate, fusion, life sciences, and materials

07/03/2026 - This article examines how data readiness for AI principles apply to large scientific datasets used to train foundation models. We analyze archetypal workflows across four representative...

Robot‐Assisted Doppler Optical Coherence Tomography for Intraoperative Evaluation of Microvascular Anastomoses

05/03/2026 - This work presents a robot‐assisted Doppler optical coherence tomography system for autonomous, wide‐field intraoperative assessment of microvascular anastomoses. Machine‐vision–guided probe...

Electrohydrodynamic Fiber Pump With Dual‐Flow Channels

03/03/2026 - A dual‐channel electrohydrodynamic (EHD) fiber pump is introduced, which enables fluid flow inside and outside fully exposed helical electrodes. The dual‐channel design significantly enhances...

Scalable High‐Force Zipping Electrostatic Actuators

03/03/2026 - An electrostatic actuator architecture is presented that combines high energy density with forces and strokes suited for wearable soft robotics. By folding patterned thin films into a scalable...

Robotic Arm‐Assisted Conformal 3D Printing of Displays for Structural Electronics

03/03/2026 - This study presents a robotics‐enabled platform combining 3D scanning and a 6‐DOF robotic arm for conformal printing on complex non‐planar structures. By maintaining nozzle perpendicularity,...

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

03/03/2026 - This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips,...

Flesh and code: The cinematic lineage of AI replacing humans from Maria to Cassandra

03/03/2026 - This study explores the evolving representation of Artificial Intelligence (AI) characters in media and its intersection with contemporary technological issues, focusing on the paradoxical human...

Device‐Level Implementation of Reservoir Computing With Memristors

01/03/2026 - Reservoir computing (RC) is an emerging computing scheme that employs a reservoir and a single readout layer, which can be actualized in the nanoscale with memristors. As a comprehensive overview,...

A Flexible and Energy‐Efficient Compute‐in‐Memory Accelerator for Kolmogorov–Arnold Networks

01/03/2026 - This article presents KA‐CIM, a compute‐in‐memory accelerator for Kolmogorov–Arnold Networks (KANs). It enables flexible and efficient computation of arbitrary nonlinear functions through...