Road safety has become an increasingly important concern and the integration of Advanced Rider Assistance Systems and Advanced Driver Assistance Systems plays a crucial role in preventing accidents. This work proposes a computer vision pipeline to automatically detect hazardous road anomalies—loose...

The ultra-large scale and prolonged runtime of Large Language Model (LLM) training—often involving thousands of GPUs and spanning weeks—render reliability a pivotal bottleneck. Hardware failures, stragglers, and runtime issues can waste over 30% of GPU resources, delaying model rollout and driving u...

The Adaptive Manifold Concept with Regularized Autoencoders (AMRAE) algorithm is introduced as a novel dimensionality reduction technique that integrates manifold learning with autoencoders to capture the intrinsic geometry of high-dimensional data effectively. The study evaluates the impact of vari...

This editorial argues that as deep learning and foundation models permeate high-stakes domains, AI security must evolve into a rigorous, end-to-end discipline—prioritizing adaptive robustness, lifecycle integrity, privacy safeguards, and system-level governance—to ensure these powerful systems remai...

With the paradigm shift driven by Artificial Intelligence Generated Content (AIGC) technology, the design industry is undergoing unprecedented transformation and reconstruction. China's traditional design education model faces severe challenges, as long-standing emphases on hand-drawing skills and m...

Deepfake media is growing rapidly and causing significant harm. Malicious actors now use AI to create fake videos that appear increasingly realistic. Traditional detection tools often fail because they analyze audio or visual signals in isolation. This paper introduces an intelligent Deepfake Detect...

Irish beef exports illustrate the tension between economic benefits and environmental sustainability in the global food system. While exports support rural livelihoods and national trade revenue, they rely on energy-intensive cold chains and contribute to high greenhouse-gas emissions, land-use pres...

The advancement of global sustainable agriculture is currently impeded by the dual challenges of energy-intensive industrial nitrogen fixation and the persistent accumulation of agro-environmental pollutants. Bioelectrocatalysis has emerged as a transformative solution to these issues by synergizing...

Alzheimer disease (AD) is a progressive neurodegenerative disorder that impairs memory and cognitive function in older adults, placing a substantial burden on global healthcare systems. Early and accurate diagnosis is crucial for timely intervention, yet manual interpretation of magnetic resonance i...

Halide double perovskites offer wide compositional flexibility and are being explored for energy-related applications. In this work, the structural, electronic, optical, and thermoelectric properties of Li\(_2\)AgSbX\(_6\) (X = F, Cl, Br, I) were investigated using density functional theory (DFT) wi...