Results 131 to 140 of about 3,003,604 (313)
The release of the generative pre-trained transformer (GPT) series has brought artificial general intelligence (AGI) to the forefront of the artificial intelligence (AI) field once again.
Yujia Peng +9 more
doaj +1 more source
Objective This study aimed to determine whether gout flare resolution is associated with physical activity and sleep. These findings were intended to inform the future development of a definition for flare resolution. Methods Data from 81 participants with gout who experienced at least one flare during a six‐month prospective observational study were ...
Sarah Stewart +12 more
wiley +1 more source
Generative artificial intelligence (AI) is increasingly being used in rheumatology practice, to assist with tasks such as documentation, record summarization, and clinical decision support. Rheumatologists need a practical approach to determining what evidence and oversight each application requires.
Koushan Kouranloo +2 more
wiley +1 more source
Reasoning By Analogy: A Progress Report [PDF]
This report describes research done at the Artificial Intelligence Laboratory of the Massachusetts Institute of Technology. Support for the laboratory's artificial intelligence research is provided in part by the Advanced Research Projects Agency of the ...
Brown, Richard
core
PopBots: Designing an Artificial Intelligence Curriculum for Early Childhood Education
© 2019, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved. PopBots is a hands-on toolkit and curriculum designed to help young children learn about artificial intelligence (AI) by building, programming ...
Breazeal, Cynthia +3 more
core +1 more source
This paper proposes an intelligent hybrid model that leverages machine learning and artificial intelligence to enhance the security of Wireless Sensor Networks (WSNs) by identifying and preventing cyberattacks.
Mohamed H. Behiry, Mohammed Aly
doaj +1 more source
Objective Patient‐reported outcome measures (PROMs) are central to assessing symptom burden and treatment response in Osteoarthritis (OA) but are often embedded in unstructured clinical notes. We evaluated whether prompt‐engineered large language models (LLMs) could accurately extract or infer pain scores on a 0‐10 scale from routine OA clinical ...
Jainesh Doshi +7 more
wiley +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
Worms of Ganymedes - Hazards of Image "Restoration" [PDF]
MIT Artificial Intelligence ...
Horn, Berthold K.P.
core
EnYOLO-World: Improved YOLOv9 and FiLM-Driven PAN for Object Detection
Real-time object detection needs to strike a balance between accuracy, speed, and reliability. However, many YOLO-based models struggle with two main issues: weakened feature quality in deeper backbone layers and inefficient multiscale fusion in the ...
Ly Vireak Dara +2 more
doaj +1 more source

