Ward: Education

120

Eyes on the Grass: Biodiversity-Increasing Robotic Mowing Using Deep Visual Embeddings

arXiv:2512.15993v1 Announce Type: new
Abstract: This paper presents a robotic mowing framework that actively enhances garden biodiversity through visual perception and adaptive decision-making. Unlike passive rewilding approaches, the proposed system uses deep feature-space analysis to identify and…

311

A Context-Free Smart Grid Model Using Complex System Approach

arXiv:2512.15733v1 Announce Type: cross
Abstract: Energy and pollution are urging problems of the 21th century. By gradually changing the actual power grid system, smart grid may evolve into different systems by means of size, elements and strategies, but its fundamental requirements and objectives…

210

CRISPR Turns a Little-Known Fruit Into a Big Farming Opportunity

Scientists are using CRISPR to fast-track the domestication of a wild fruit. For roughly 10,000 years, farming communities have improved crops by saving seeds from plants that produced better harvests. By repeatedly choosing varieties with desirable traits such as larger size, better flavor, and gre…

313

OPENTOUCH: Bringing Full-Hand Touch to Real-World Interaction

arXiv:2512.16842v1 Announce Type: new
Abstract: The human hand is our primary interface to the physical world, yet egocentric perception rarely knows when, where, or how forcefully it makes contact. Robust wearable tactile sensors are scarce, and no existing in-the-wild datasets align first-person …

229

Learning Collective Variables for Enhanced Sampling from BioEmu with Time-Lagged Generation

arXiv:2507.07390v2 Announce Type: replace
Abstract: Molecular dynamics is crucial for understanding molecular systems but its applicability is often limited by the vast timescales of rare events like protein folding. Enhanced sampling techniques overcome this by accelerating the simulation along ke…

222

OLAF: Towards Robust LLM-Based Annotation Framework in Empirical Software Engineering

arXiv:2512.15979v1 Announce Type: new
Abstract: Large Language Models (LLMs) are increasingly used in empirical software engineering (ESE) to automate or assist annotation tasks such as labeling commits, issues, and qualitative artifacts. Yet the reliability and reproducibility of such annotations …

220

Toward 6G Downlink NOMA: CRC-Aided GRAND for Noise-Resilient NOMA Decoding in Beyond-5G Networks

arXiv:2512.16860v1 Announce Type: new
Abstract: Non-Orthogonal Multiple Access (NOMA) technology has emerged as a promising technology to enable massive connectivity and enhanced spectral efficiency in next-generation wireless networks. In this study, we propose a novel two-user downlink power-doma…

432

AI Helped Scientists Stop a Virus With One Tiny Change

Using AI, researchers identified one tiny molecular interaction that viruses need to infect cells. Disrupting it stopped the virus before infection could begin. Washington State University scientists have uncovered a method to interfere with a key viral protein, stopping viruses from getting inside …

120

This Little-Known Plant Could Help Save Chocolate From Climate Change

A research team developed two flavor-enhancing techniques that transform carob pulp into a delicious, sustainable alternative to cocoa. Rising temperatures and the spread of crop diseases are placing increasing pressure on the global supply of cocoa. In response to these challenges, researchers at t…

220

Pixel Super-Resolved Fluorescence Lifetime Imaging Using Deep Learning

arXiv:2512.16266v1 Announce Type: new
Abstract: Fluorescence lifetime imaging microscopy (FLIM) is a powerful quantitative technique that provides metabolic and molecular contrast, offering strong translational potential for label-free, real-time diagnostics. However, its clinical adoption remains …

231

From Minutes to Days: Scaling Intracranial Speech Decoding with Supervised Pretraining

arXiv:2512.15830v1 Announce Type: new
Abstract: Decoding speech from brain activity has typically relied on limited neural recordings collected during short and highly controlled experiments. Here, we introduce a framework to leverage week-long intracranial and audio recordings from patients underg…

111

Towards Closing the Domain Gap with Event Cameras

arXiv:2512.16178v1 Announce Type: new
Abstract: Although traditional cameras are the primary sensor for end-to-end driving, their performance suffers greatly when the conditions of the data they were trained on does not match the deployment environment, a problem known as the domain gap. In this wo…

319

Rxiv-Maker: an automated template engine for streamlined scientific publications

arXiv:2508.00836v5 Announce Type: replace
Abstract: The rapid growth of preprint servers has accelerated scientific dissemination but has also shifted the technical burden of manuscript preparation to authors. This challenge is particularly acute in computational research, where manuscripts must re…

111

ResDynUNet++: A nested U-Net with residual dynamic convolution blocks for dual-spectral CT

arXiv:2512.16140v1 Announce Type: new
Abstract: We propose a hybrid reconstruction framework for dual-spectral CT (DSCT) that integrates iterative methods with deep learning models. The reconstruction process consists of two complementary components: a knowledge-driven module and a data-driven modu…

218

Hadamard Langevin dynamics for sampling the l1-prior

arXiv:2411.11403v3 Announce Type: replace
Abstract: Priors with non-smooth log-densities, such as the l1-prior, are widely used in Bayesian inverse problems for their sparsity-inducing properties. Existing Langevin-based sampling methods typically rely on proximal mappings or smooth approximations,…

109

Convolutional Lie Operator for Sentence Classification

arXiv:2512.16125v1 Announce Type: new
Abstract: Traditional Convolutional Neural Networks have been successful in capturing local, position-invariant features in text, but their capacity to model complex transformation within language can be further explored. In this work, we explore a novel approa…

222

Designing a Passive Lidar Detector Device

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230

Differences That Matter: Auditing Models for Capability Gap Discovery and Rectification

arXiv:2512.16921v1 Announce Type: new
Abstract: Conventional evaluation methods for multimodal LLMs (MLLMs) lack interpretability and are often insufficient to fully disclose significant capability gaps across models. To address this, we introduce AuditDM, an automated framework that actively disco…

318

When Small Acts Scale: Ethical Thresholds in Network Diffusion

arXiv:2511.00329v2 Announce Type: replace
Abstract: Much ethical evaluation treats actions dyadically: one agent acts on one recipient. In networked, platform-mediated environments, this lens misses how public acts diffuse. We introduce a minimal message-passing model in which an initiating act wit…

223

Generalized Hamming weights of additive codes and geometric counterparts

arXiv:2512.16327v1 Announce Type: cross
Abstract: We consider the geometric problem of determining the maximum number $n_q(r,h,f;s)$ of $(h-1)$-spaces in the projective space $\operatorname{PG}(r-1,q)$ such that each subspace of codimension $f$ does contain at most $s$ elements. In coding theory te…