Results 61 to 70 of about 1,902,998 (334)

Artificial Social Intelligence: A Comparative and Holistic View

CAAI Artificial Intelligence Research, 2022
In addition to a physical comprehension of the world, humans possess a high social intelligence—the intelligence that senses social events, infers the goals and intents of others, and facilitates social interaction. Notably, humans are distinguished from
Lifeng Fan, Manjie Xu, Zhihao Cao, Yixin Zhu, Song-Chun Zhu   +4 more
doaj   +1 more source

Empowering Online Adult Educators: Integrating Artificial Intelligence for Enhanced Instructional Strategies

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT This article explores how artificial intelligence (AI) can support online adult learning by aligning with Knowles’ four principles of andragogy: involvement, experience, problem‐centeredness, and relevance. Three activities were analyzed using a comparative case study (CCS) method.
Xi Lin, Steve W. Schmidt
wiley   +1 more source

Disability classification using machine learning on functional assessment data

Discover Artificial Intelligence
The World Health Organization (WHO) estimates that over 1.3 billion people globally experience significant disabilities, a figure projected to exceed two billion by 2050.
Mohamed Abouelezz, Khaled M.Fouad, Ibrahim Abdelbaky   +2 more
doaj   +1 more source

The Global Artificial Intelligence Revolution Challenges Patent Eligibility Laws [PDF]

, 2017
This Article examines patent eligibility jurisprudence of artificial intelligence in the United States, Europe, France, Japan, and Singapore. It identifies de facto requirements of patent-eligible artificial intelligence.
Hashiguchi, Mizuki
core   +1 more source

Towards an Equitable Digital Society: Artificial Intelligence (AI) and Corporate Digital Responsibility (CDR) [PDF]

, 2021
Karen Elliott, Rob Price, Patricia Shaw, Tasos Spiliotopoulos, Magdalene Ng, Kovila Coopamootoo, Aad van Moorsel   +6 more
openalex   +1 more source

Institutional Policies on Artificial Intelligence in Higher Education: Frameworks and Best Practices for Faculty

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT This article explores institutional policies on artificial intelligence (AI) in higher education. As AI tools become increasingly utilized in academia—from research and teaching to assessment and student support—institutions face growing pressure to establish clear, ethical, and practical guidelines to help guide faculty.
Lauren Azevedo, Pedro Robles, Eric Best, Daniel J. Mallinson   +3 more
wiley   +1 more source

Online test-time adaptation for better generalization of interatomic potentials to out-of-distribution data

Nature Communications
Machine learning interatomic potentials (MLIPs) enable more efficient molecular dynamics (MD) simulations with ab initio accuracy, which have been used in various domains of physical science.
Taoyong Cui, Chenyu Tang, Dongzhan Zhou, Yuqiang Li, Xingao Gong, Wanli Ouyang, Mao Su, Shufei Zhang   +7 more
doaj   +1 more source

Leveraging Artificial Intelligence in Research and Scholarly Work: Innovative Approaches and Practical Applications

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT This article explores how artificial intelligence (AI) is reshaping scholarly research and writing for faculty in higher education. As AI becomes increasingly integrated into academic workflows, it offers opportunities to enhance efficiency, exchange ideas, and foster creativity, while also raising critical questions about authorship ...
Adam L. McClain, Scott Barton
wiley   +1 more source

Exosome Proteomics of SOD1D90A Mutation Suggest Early Disease Mechanisms, and FN1 as a Biomarker

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Amyotrophic lateral sclerosis (ALS) is a neuromuscular disease. Super oxide dismutase 1 (SOD1) gene mutations cause ALS, and the D90A mutation is associated with primarily upper motor neuron (UMN) loss. Objective Our goal is to reveal the early cellular events in ALS pathology and identify potential pharmacokinetic biomarkers, using well ...
Mukesh Gautam, Ali Laith, Aslihan Gunel, Melda Yilmaz, Nazli Basak, Halil Idrisoglu, P. Hande Ozdinler   +6 more
wiley   +1 more source

Diffusion Tractography Biomarker for Epilepsy Severity in Children With Drug‐Resistant Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To develop a novel deep‐learning model of clinical DWI tractography that can accurately predict the general assessment of epilepsy severity (GASE) in pediatric drug‐resistant epilepsy (DRE) and test if it can screen diverse neurocognitive impairments identified through neuropsychological assessments.
Jeong‐Won Jeong, Min‐Hee Lee, Hiroshi Uda, Yoon Ho Hwang, Michael Behen, Aimee Luat, Csaba Juhász, Eishi Asano   +7 more
wiley   +1 more source