Telecomunicaciones, información y comunicación

From Droplet to Diagnosis: Spatio‐Temporal Pattern Recognition in Drying Biofluids

16/11/2025 - This article integrates machine learning (ML) with the spatio‐temporal evolution of biofluid droplets to reveal how drying and self‐assembly encode distinctive compositional fingerprints. By...

A Standardized Framework for Elastomer Characterization in Soft Robotics

16/11/2025 - A unified framework addresses inconsistent elastomer property reporting which limits reproducibility and standardization in soft robotics. Systematic testing of ten elastomers (thermosetting,...

Dual Entropy Source Physical Unclonable Functions of Reconfigurable Feedback Field‐Effect Transistors with Polycrystalline Silicon Channels

16/11/2025 - Physically unclonable functions (PUFs) of reconfigurable feedback field‐effect transistors (R‐FBFETs) with polycrystalline silicon channels are designed for dual entropy sources. The uniqueness...

What do we want from AI?

08/11/2025 - Most recent writing about the directions for AI has focused on the potential risks of widespread use of AI and what we DO NOT want from AI. This has led to many, largely ignored, calls for a pause in...

A Fully Integrated Analog Processing‐in‐Memory System Based on Charge‐Trap Flash Synapse Arrays and Successive Integration‐and‐Rescaling Neurons

06/11/2025 - A fully integrated analog processing‐in‐memory system is demonstrated, combining charge‐trap flash synapse arrays with a successive integration‐and‐rescaling neuron circuit. The...

Stimuli‐Responsive Electrofluidic Nervous System for Autonomous Soft Robots

06/11/2025 - A stimuli‐responsive electrofluidic nervous system (SENS) is introduced to achieve sensing, signal processing, and decision‐making using soft materials. Comprising fluidic switches and...

RevOrder: A novel equation format for arithmetic operations in language models

06/11/2025 - This paper proposes to understand arithmetic operations in Language Models (LM) by framing them as digit‐based reasoning challenges. Our research focuses on arithmetic optimization challenges...

Artificial intelligence and the impact of the EU AI Act in business organizations

04/11/2025 - Artificial intelligence (AI) is transforming industries worldwide, and the e‐commerce sector is at the forefront of leveraging its capabilities to drive innovation and efficiency. The paper...

Synthetic Electrocardiogram Spectrogram Generation Using Generative Adversarial Network‐Based Models: A Comparative Study

03/11/2025 - Cardiovascular diseases are leading death causes; electrocardiogram (ECG) analysis is slow, motivating machine learning and deep learning. This study compares deep convolutional generative...

Disentangling Coincident Cell Events Using Deep Transfer Learning and Compressive Sensing

03/11/2025 - Overlapping cells during detection distort single‐cell measurements and reduce diagnostic accuracy. A hybrid framework combining a fully convolutional neural network with compressive sensing to...

Step‐Efficient Parallel Implementation of n‐bit Full Adders Using Stateful Logic in Memristor Crossbar Arrays

30/10/2025 - A step‐efficient stateful logic architecture is demonstrated using a fabricated 32 × 32 memristor crossbar array, enabling parallel n‐bit full adder operations directly in memory. By...

RanBALL: An Ensemble Machine Learning Framework for Accurate Subtype Identification of Pediatric B‐Cell Acute Lymphoblastic Leukemia

30/10/2025 - Here, we present RanBALL, an ensemble random projection‐based model for accurate and cost‐effective identification of B‐cell acute lymphoblastic leukemia subtypes is presented. By preserving...

Bridging High‐Fidelity Simulations and Physics‐Based Learning using a Surrogate Model for Soft Robot Control

30/10/2025 - A surrogate‐model‐based framework is proposed for combining high‐fidelity finite element method and efficient physics simulations to enable fast, accurate soft robot simulation for...

Predicting Postresection Colorectal Liver Metastases Recurrence Using Advanced Graph Neural Networks with Explainability and Causal Inference

30/10/2025 - This study introduces a framework that combines graph neural networks with causal inference to forecast recurrence and uncover the clinical and pathological factors driving it. It further provides...

A Soft Wearable Robot for Vertical Jump Enhancement via a Pneumatic Energy‐Storing Propulsion Actuator and Triarticular Kinetic‐Chained Structure

28/10/2025 - The Jump‐Enhancing Textile Suit integrates the Pneumatic Energy‐Storing Propulsion Actuator (PESPA) and the Triarticular Kinetic‐Chained Structure (TKiCS). PESPA stores elastic energy under...

Machine Learning Elucidates Population Density‐Dependent Morphological Phenotypic Changes of Macrophages

26/10/2025 - Herein, label‐free phase‐contrast microscopy imaging with machine learning to interrogate the relationship between the population density and morphological features of macrophages is coupled....

Cryogenic Neuromorphic Synaptic Behavior in 180 nm Silicon Transistors for Emerging Computing Systems

26/10/2025 - This study investigates the neuromorphic plasticity behavior of 180 nm bulk complementary metal oxide semiconductor (CMOS) transistors at cryogenic temperatures. The observed hysteresis data reveal...

A Compact, Self‐Recovering Wire Electrode Electrohydrodynamic Pump for High‐Speed McKibben Artificial Muscle Actuation

26/10/2025 - A compact and self‐recovering wire electrode electrohydrodynamic pump achieves high pressure, fast flowrate, and automatic recovery after dielectric discharge breakdowns. The pump delivers twice...

Compact Modeling of Volatile‐Switching Electrochemical Metallization Memory Cells by Means of the Electromotive Force

26/10/2025 - A volatile‐switching compact model of electrochemical metallization memory cells for neuromorphic architecture is developed and validated by reliable reproduction of device characterization...

Robust Dysarthric Speech Recognition with GAN Enhancement and LLM Correction

26/10/2025 - This study tackles dysarthric speech recognition by combining generative adversarial network (GAN)‐generated synthetic data with large language model (LLM)‐based error correction. The approach...

Machine Learning‐Based Standard Compact Model Binning Parameter Extraction Methodology for Integrated Circuit Design of Next‐Generation Semiconductor Devices

26/10/2025 - This study presents a neural network‐based methodology for Berkeley Short‐Channel IGFET Model–Common Multi‐Gate parameter extraction of gate‐all‐around field effect transistors,...