Aeronáutica y espacio

A MEC-Based Optimization Framework for Dynamic Inductive Charging

- Range anxiety and long recharging times remain critical barriers to electric vehicle adoption. Dynamic Inductive Charging (DIC) offers a compelling solution by enabling wireless power transfer while...

NeuroRing: Scaling Spiking Neural Networks via Multi-FPGA Bidirectional Ring Topologies and Stream-Dataflow Architectures

- Spiking neural networks (SNNs) are a promising paradigm for energy-efficient event-driven computation, but large-scale SNN execution remains challenging because sparse spike communication and...

Physical Foundation Models: Fixed hardware implementations of large-scale neural networks

- Foundation models are deep neural networks (such as GPT-5, Gemini~3, and Opus~4) trained on large datasets that can perform diverse downstream tasks -- text and code generation, question answering,...

A Grid-Aware Agent-Based Model for Analyzing Electric Vehicle Charging Systems

- This paper presents a configurable, grid-aware Agent-Based Model (ABM) for the systematic analysis of electric vehicle (EV) charging systems under configurable infrastructure and operational...

Carbon-Taxed Transformers: A Green Compression Pipeline for Overgrown Language Models

- The accelerating adoption of Large Language Models (LLMs) in software engineering (SE) has brought with it a silent crisis: unsustainable computational cost. While these models demonstrate remarkable...

Economical and ecological impact of sector coupling applied to computing clusters

- The rising share of abundant renewable energy inevitably increases volatility in the electricity production. The concept of sector coupling means that the volatility of electricity production to a...

AHASD: Asynchronous Heterogeneous Architecture for LLM Adaptive Drafting Speculative Decoding on Mobile Devices

- Speculative decoding enhances the inference efficiency of large language models (LLMs) by generating drafts using a small draft language model (DLM) and verifying them in batches with a large target...

FusionCIM: Accelerating LLM Inference with Fusion-Driven Computing-in-Memory Architecture

- In this paper, we propose FusionCIM, an operator-fusion-driven compute-in-memory (CIM) accelerator architecture for efficient and scalable LLM inference, with three key innovations: (1) a hybrid CIM...

Internet of Everything in the 6G Era: Paradigms, Enablers, Potentials and Future Directions

- The Internet of Everything (IoE) represents an evolution of the Internet of Things (IoT) by integrating people, data, processes, and things into a unified intelligent ecosystem. IoE aims to enhance...

Salca: A Sparsity-Aware Hardware Accelerator for Efficient Long-Context Attention Decoding

- Long contexts improve capabilities of large language models but pose serious hardware challenges: compute and memory footprints grow linearly with sequence length. Particularly, the decoding phase...

Opto-Atomic Spatio-Temporal Holographic Correlators for High-Speed 3D CNNs

- Three-dimensional convolutional neural networks (3D CNNs) have demonstrated remarkable performance in video recognition tasks by processing both spatial and temporal features. However, the cubic...

A Vehicle Routing Problem for Human-Centered Electric Mobility

- In this paper, we present the Electric Mobility Dial-a-Ride Problem (EM-DARP), which extends the Electric Vehicle Dial-a-Ride Problem (EV-DARP) to better accommodate human-focused mobility services....

Exploiting pre-optimized kernels with polyhedral transformations for CGRA compilation

- Modern computing workloads commonly involve matrix-matrix multiplication (mmul) as a core computing pattern. Coarse-Grained Reconfigurable Arrays (CGRAs) can flexibly and efficiently support it,...

Energy-Efficient Multi-Robot Coverage Path Planning of Non-Convex Regions of Interests

- This letter presents an energy-efficient multi-robot coverage path planning (MRCPP) framework for large, nonconvex Regions of Interest (ROI) containing obstacles and no-fly zones (NFZ). Existing...

$O(K)$-Approximation Coflow Scheduling in $K$-Core Optical Circuit Switching Networks

- Coflow has emerged as a fundamental application-layer abstraction in distributed systems, representing communication dependencies and enabling collaborative management of related flows to enhance job...

Why your opinion of used electric vehicles is probably wrong

22/04/2026 - The idea that EV batteries age poorly is a misconception – and a new report has found they often outlive the cars themselves

Seeing Without Eyes: 4D Human-Scene Understanding from Wearable IMUs

- Understanding human activities and their surrounding environments typically relies on visual perception, yet cameras pose persistent challenges in privacy, safety, energy efficiency, and scalability....

Generalized Two-Dimensional Index Modulation in the Code-Spatial Domain for LPWAN

- Low-power wide-area networks (LPWANs) are crucial for large-scale Internet of Things (IoT) applications, yet they face increasing demands for higher data rates, improved reliability, and enhanced...

Generative Learning Enhanced Intelligent Resource Management for Cell-Free Delay Deterministic Communications

- Cell-free multiple-input multiple-output (CF-MIMO) architecture significantly enhances wireless network performance, offering a promising solution for delay-sensitive applications. This paper...

ImageHD: Energy-Efficient On-Device Continual Learning of Visual Representations via Hyperdimensional Computing

- On-device continual learning (CL) is critical for edge AI systems operating on non-stationary data streams, but most existing methods rely on backpropagation or exemplar-heavy classifiers, incurring...

Frequency Security Assessment in Power Systems With High Penetration of Renewables Considering Spatio-Temporal Frequency Distribution

- The increasing integration of renewable energy sources exacerbates the spatial and temporal differences in frequency across the power system, posing a serious challenge to the accurate and efficient...