In 2026, neural network research is advancing in efficiency, adaptability, and workflow reasoning, yet the MLRegTest benchmark shows persistent weaknesses in rule generalization. Researchers are ...
Abstract: Generator-based adversarial attack methods aim to fool deep neural networks (DNNs) by training a generator for crafting adversarial examples (AEs). However, as DNNs evolve from Convolutional ...
Abstract: Estimating the 6-DoF posture of parts in assembly-based modeling is a critical task in the fields of computer graphics, computer vision and robotics. A typical scenario involves enabling a ...
Chasing a good night’s sleep? Seven hours of blissful, undisturbed snoozing could very well involve limiting caffeine intake, drinking chamomile tea and avoiding blue light before bedtime. But if ...
Stiffness, achy joints, acid reflux, snoring — experts explain the pros and cons of the three main ways people sleep. By Amanda Schupak Ever wake up with a crick in your neck or a pain in your lower ...
Our long-term goal is to build efficient and reliable 2.5B diffusion-based decoding for document OCR. MinerU-Diffusion reframes document OCR as an inverse rendering problem and replaces slow, ...
Anticipating short-term affective instability in bipolar disorder represents a longstanding challenge in computational psychiatry. Early signalling of transitions from stable to depressive, manic, or ...
Comorbidity—the co-occurrence of multiple diseases in a patient—complicates diagnosis, treatment, and prognosis. Understanding how diseases connect at a molecular level is crucial, especially in aging ...
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