Telecomunicaciones, información y comunicación

Controlling Dynamical Systems Into Unseen Target States Using Machine Learning

23/03/2026 - Parameter‐aware next‐generation reservoir computing enables efficient, data‐driven control of dynamical systems across unseen target states and nonstationary transitions. The approach...

Routing Optimization of Cable‐Driven Octopus‐Inspired Manipulators With Minimal Actuation via Genetic Algorithm and Finite Element Method

23/03/2026 - Soft robotic arms are promising for gentle grasping but often rely on bulky actuation systems. This work presents a computational design framework that optimizes tendon number and routing to achieve...

Comparing the Latent Features of Universal Machine‐Learning Interatomic Potentials

22/03/2026 - This study quantitatively assesses how universal machine‐learning interatomic potentials encode the chemical space into latent features, showing unique model‐specific representations with high...

MTCA‐Net: Multi‐Task Cascade Analysis Network for Real‐Time Sperm Quality Analysis

22/03/2026 - This article proposes MTCA‐Net, a multi‐task cascaded analysis network for real‐time sperm quality assessment in intracytoplasmic sperm injection. The framework integrates detection, tracking,...

Modular Electronic Microrobots With Onboard Sensor‐Program‐Steered Locomotion

22/03/2026 - Modular electronic smartlet microrobots integrate ambient‐light energy harvesting, photodetection, programmable CMOS control, and bubble‐based actuation within a sub‐millimeter fold‐up...

Enabling Metal‐Based Soft Robotics Through Investment Casting

22/03/2026 - Vacuum investment casting enables manufacturing of compliant soft robotic structures out of AA7075 high‐strength aluminum alloy. Additively manufactured patterns are converted into metal soft...

KDLM: Lightweight Brain Tumor Segmentation via Knowledge Distillation

22/03/2026 - A lightweight student network is designed, which is based on multiscale and multilevel feature fusion and combined with the residual channel attention mechanism to achieve efficient feature...

Adaptive Control of Run‐and‐Tumble Escape in Pursuit‐Evasion Dynamics of Intelligent Active Particles

18/03/2026 - The pursuit‐evasion game is studied for two adversarial active agents, modeled as deterministic self‐steering pursuer and stochastic, cognitive evader. For a successful evasion strategy, the...

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...