Defensa y seguridad

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...

Deep Reinforcement Learning Approaches for Sensor Data Collection by a Swarm of UAVs

25/02/2026 - This article presents four decentralized reinforcement learning algorithms for autonomous data harvesting and investigates how collaboration improves collection efficiency. It also presents...

Biodegradable and Bioinspired UV Light Recognition via Sustainable Synaptic Transistors for Artificial Intelligence Vision Systems

24/02/2026 - We report a biodegradable electrolyte‐gated synaptic phototransistor that combines low‐power UV sensing with memory functionality, offering a sustainable platform for AI vision systems and...

Entropy‐Guided Convolutional Neural Network Classification of Sensor Signals for Real‐Time Surface Quality Monitoring in Direct Laser Interference Patterning

22/02/2026 - Neural‐network pipeline for real‐time DLIP surface‐quality monitoring: spectral entropy of WLI topographies is used to generate interpretable K‐means labels, which are transferred to...

Data‐Driven Review and Machine Learning Prediction of Diamond Vacancy Center Synthesis

22/02/2026 - A machine learning framework is applied to photoluminescence spectra to extract linewidths and uncover how NV, SiV, GeV, and SnV centers evolve with growth and processing conditions. Unified...

An actionable framework for AI‐ready data

21/02/2026 - Data is the foundation of AI. Poor‐quality data drive up costs and can lead to hidden problems for AI models, especially in complex fields such as healthcare and manufacturing. Meanwhile, biased...

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

19/02/2026 - Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including...

Scalable Platform Enabling Reservoir Computing With Nanoporous Oxide Memristors for Image Recognition and Time Series Prediction

18/02/2026 - The approach of physical in materia computing incorporates parallel computing within the medium itself. A scalable and energy‐efficient, oxide‐based computational platform is realized in form of...

Deep Learning Methods for Assessing Time‐Variant Nonlinear Signatures in Clutter Echoes

10/02/2026 - Motion classification from biosonar echoes in clutter presents a fundamental challenge: extracting structured information from stochastic interference. Deep learning successfully discriminates object...

Machine Learning‐Augmented Loop‐Mediated Isothermal Amplification‐Enabled Point‐of‐Care for Mpox‐Specific Detection

11/02/2026 - A low‐cost, portable point‐of‐care platform for rapid Mpox detection using loop‐mediated isothermal amplification is reported. The device integrates fluorescence readout and mobile...

Context‐Aware Semiautonomous Control for Upper‐Limb Prostheses

11/02/2026 - A semiautonomous prosthetic control strategy integrates electromyographic‐based intention with computer vision‐driven grasp adaptation and wrist orientation. Comparative experiments with...

GraphNeuralCloth: A Graph‐Neural‐Network‐Based Framework for Non‐Skinning Cloth Simulation

10/02/2026 - This study presents a cloth motion capture system and a point‐cloud‐to‐mesh processing method to support the prediction of real‐world fabric deformation. GraphNeuralCloth, a graph...

Ultralow‐Power Real‐Time On‐Chip Thermal Prediction via Finite Element Method–Machine Learning Codesign and Field‐Programmable Gate Array Deployment

08/02/2026 - A lightweight machine learning (ML)‐based thermal prediction framework is demonstrated and implemented on a field‐programmable gate array (FPGA). Using measured temperature data from a real...

Worm‐Inspired Soft Robots With Modular Outfit‐Changing for Intelligent Multienvironment Adaptation

08/02/2026 - This study proposes a worm‐inspired soft robot capable of locomotion across multiple environments through a modular “outfit‐changing” strategy. The robot integrates pneumatically actuated...

Neuromorphic Photonic Processing and Memory With Spiking Resonant Tunneling Diode Neurons and Neural Networks

08/02/2026 - This work shows resonant tunneling diode‐based opto‐electronic spiking neurons enabling fast edge detection in time series, a two‐layer photonic spiking neural network for complex...

AI‐driven perception management and political soft power: Insights from expert interviews

08/02/2026 - This study explores the role of artificial intelligence (AI) in perception management as an emerging tool of political soft power. Drawing on the theoretical frameworks of social psychology,...

Artificial intelligence for web development: Perspectives from the industry

08/02/2026 - As a field, web development is roughly 30 years old, and during this period, it has been transformed several times already as it has moved from static websites to dynamic web applications. Now, with...

Automated Discovery of Multicellular Behavior for Optimized Plant Growth and Climate Resilience

04/02/2026 - An automated robotic system is described for rapid scientific experimentation with multicellular organisms. By enhancing a robotic liquid handler with a custom developed deep learning algorithm and...

A Neural Network‐Based Self‐Sensing Embedded Position Control System for Shape Memory Alloy Wire Actuators

30/01/2026 - Shape memory alloy wires exhibit thermally induced phase changes that generate actuation strain and resistance variations enabling self‐sensing. However, hysteretic electromechanical behavior...

Datasheets for machine learning sensors

31/01/2026 - Machine learning (ML) is becoming prevalent in embedded AI sensing systems. These “ML sensors” enable context‐sensitive, real‐time data collection and decision‐making across diverse...