Latest AI and machine learning research in geriatrics for healthcare professionals.
We introduce SemEval-2025 Task 4: unlearning sensitive content from Large Language Models (LLMs). The task features 3 subtasks for LLM unlearning spanning different use cases: (1) unlearn long form synthetic creative documents spanning different genres; (2) unlearn short form synthetic biographies containing personally identifiable information (PII), including fake names, phone number, SSN, emai...
End-to-end autonomous driving has achieved remarkable progress by integrating perception, prediction, and planning into a fully differentiable framework. Yet, to fully realize its potential, an effective online trajectory evaluation is indispensable to ensure safety. By forecasting the future outcomes of a given trajectory, trajectory evaluation becomes much more effective. This goal can be achi...
Motivation: Building and iterating machine learning models is often a resource-intensive process. In biomedical research, scientific codebases can l...
Alzheimer's Disease is a progressive neurological disorder that is one of the most common forms of dementia. It leads to a decline in memory, reason...
The causal relationships between biomarkers are essential for disease diagnosis and medical treatment planning. One notable application is Alzheimer...
Multimodal models integrating speech and vision hold significant potential for advancing human-computer interaction, particularly in Speech-Based Vi...
Alzheimer's Disease (AD) is a progressive neurodegenerative disorder that poses significant diagnostic challenges due to its complex etiology. Graph...
Computer use agents automate digital tasks by directly interacting with graphical user interfaces (GUIs) on computers and mobile devices, offering s...
Given the relationship between hippocampal atrophy and cognitive impairment in various pathological conditions, hippocampus segmentation from MRI is a...
Sirtuins, a class of NAD+ -dependent deacetylases, play a key role in aging, metabolism, and longevity. Their interaction with NAD+ at the catalytic s...
The progression of Alzheimer's disease (AD) involves complex changes in brain structure and function that are driven by their interaction, making stru...
Artificial intelligence (AI) has played a novel role in aiding healthcare system functions and enhancing the patient experience. Multidisciplinary tea...
In the Edge Inference (EI) paradigm, where a Deep Neural Network (DNN) is split across the transceivers to wirelessly communicate goal-defined featu...
Reasoning before action and imagining potential outcomes (i.e., world models) are essential for embodied agents operating in complex open-world envi...
As AI technology advances, it is driving innovation across industries, increasing the demand for scalable AI project deployment. However, deployment...
To satisfy the requirements of the end-to-end fault diagnosis of gears, an integrated intelligent method of fault diagnosis for gears using accelera...
Understanding how the brain's complex nonlinear dynamics give rise to adaptive cognition and behavior is a central challenge in neuroscience. These ...
Psychological insights have long shaped pivotal NLP breakthroughs, including the cognitive underpinnings of attention mechanisms, formative reinforc...
Curating large-scale fully annotated datasets is expensive, laborious, and cumbersome, especially for medical images. Several methods have been prop...
Learning from longitudinal electronic health records is limited if it does not capture the temporal trajectories of the patient's state in a clinica...