Providing 24/7 access to multilingual AI agents can transform patient outcomes beyond what we've seen from AI scribes.
CARE-ACE supports autonomy through bounded agentic reasoning, in which diagnostic, prognostic, planning, and risk-assessment ...
Most robot headlines follow a familiar script: a machine masters one narrow trick in a controlled lab, then comes the bold promise that everything is about to change. I usually tune those stories out.
Abstract: Multi-task learning (MTL) is a standard learning paradigm in machine learning. The central idea of MTL is to capture the shared knowledge among multiple tasks for mitigating the problem of ...
1 Department of Computer Science, The University of Alabama at Birmingham, Birmingham, AL, United States 2 Department of Computer Science, Washington University in St. Louis, St. Louis, MO, United ...
This study investigates the transformative impact of generative AI (GenAI), particularly ChatGPT, on higher education through a mixed-methods approach combining survey analysis and scenario ...
It’s everywhere, as the author learned the hard way while making as little contact as possible with machine learning and generative artificial intelligence. It’s everywhere, as the author learned the ...
Abstract: Alzheimer’s Disease (AD) is a prevalent and severe neurodegenerative disorder, and early diagnosis is essential for managing disease progression. Recently, multimodal graph learning has ...
Alzheimer's Disease (AD), a leading neurodegenerative disorder, presents significant global health challenges. Advances in graph neural networks (GNNs) offer promising tools for analyzing multimodal ...
For years, Big Tech CEOs have touted visions of AI agents that can autonomously use software applications to complete tasks for people. But take today’s consumer AI agents out for a spin, whether it’s ...
From dorm-room startups to faculty-built chatbots, the future of learning is being rewritten right now — and the institutions that can’t keep up are getting left behind. AI didn’t break higher ...