Results 61 to 70 of about 81,056 (264)

On the Sustainability of AI Inferences in the Edge

CoRR
The proliferation of the Internet of Things (IoT) and its cutting-edge AI-enabled applications (e.g., autonomous vehicles and smart industries) combine two paradigms: data-driven systems and their deployment on the edge. Usually, edge devices perform inferences to support latency-critical applications.
Ghazal Sobhani, Md. Monzurul Amin Ifath, Tushar Sharma 0001, Israat Haque 0001   +3 more
openaire   +2 more sources

Empowering Adult Learning How AI Fuels Progress Across Disciplines and Professions

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT This article examines the evolving role of artificial intelligence (AI) as a transformative cognitive partner across educational and professional fields. It explores how AI shifts attention away from routine technical tasks and toward human‐centered skills such as critical thinking, ethical decision‐making, and professional judgment.
Rachel Wlodarsky
wiley   +1 more source

AI Flow at the Network Edge

IEEE Network
Recent advancements in large language models (LLMs) and their multimodal variants have led to remarkable progress across various domains, demonstrating impressive capabilities and unprecedented potential. In the era of ubiquitous connectivity, leveraging communication networks to distribute intelligence is a transformative concept, envisioning AI ...
Jiawei Shao, Xuelong Li 0001
openaire   +2 more sources

Self‐Regulated Learning Meets AI: Reinterpreting Self‐Regulation, Co‐Regulation, and Socially Shared Regulation in Human–AI Interaction

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley   +1 more source

Exploring GPU sharing techniques for edge AI smart city applications

ETRI Journal
The growing adoption of edge AI in smart city applications such as trafficmanagement, surveillance, and environmental monitoring necessitates effi-cient computational strategies to satisfy the requirements for low latency andhigh accuracy.
Sooyeon Woo, Jihwan Yeo, Jinhong Kim, Kyungwoon Lee   +3 more
doaj   +1 more source

Normal‐Appearing White Matter Injury Mediates Chronic Deep Venous Hypoxia and Disease Progression in Multiple Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To explore how cerebral hypoxia and Normal‐Appearing White Matter (NAWM) integrity affect MS lesion burden and clinical course. Methods Seventy‐nine MS patients, including 13 clinically isolated syndrome (CIS) patients and 66 relapsing–remitting multiple sclerosis (RRMS) patients, and 44 healthy controls (HCs) were recruited from ...
Xinli Wang, Huiying Wang, Zhizheng Zhuo, Ai Guo, Ke Lv, Decai Tian, Chao Chai, Yunyun Duan, Shuang Xia   +8 more
wiley   +1 more source

An Energy-Efficient Intelligence Sharing Scheme in Intelligence Networking-Empowered Edge Computing

IEEE Access
Advanced artificial intelligence (AI) and multi-access edge computing (MEC) technologies facilitate the development of edge intelligence, which enables the intelligence learned from remote cloud to network edge.
Junfeng Xie, Qingmin Jia, Fengliang Lu
doaj   +1 more source

AI‐EDGE: An NSF AI institute for future edge networks and distributed intelligence

AI Magazine
AbstractThis paper highlights the overall endeavors of the NSF AI Institute for Future Edge Networks and Distributed Intelligence (AI‐EDGE) to create a research, education, knowledge transfer, and workforce development environment for developing technological leadership in next‐generation edge networks (6G and beyond) and artificial intelligence (AI ...
Peizhong Ju, Chengzhang Li, Yingbin Liang, Ness B. Shroff   +3 more
openaire   +1 more source

Digital Cognitive Phenotyping for Differential Diagnosis and Monitoring in Neurological Conditions

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To assess the utility, accessibility, and equivalence to supervised scales of online cognitive assessment in older individuals with cognitive impairment. Methods Patients with Alzheimer's disease (AD, n = 31), idiopathic normal pressure hydrocephalus (iNPH, n = 26), and traumatic brain injury (TBI, n = 23) completed online cognitive ...
Martina Del Giovane, Valentina Giunchiglia, Michael C. B. David, Magdalena A. Kolanko, William R. Trender, Peter J. Hellyer, Harmeena Kaur, David J. Sharp, Christopher Carswell, Paresh A. Malhotra, Adam Hampshire   +10 more
wiley   +1 more source

Can edge AI mitigate environmental effects on camera trap performance?

Wildlife Society Bulletin
Abiotic and biotic conditions can affect camera trap performance, and failure to account for environmental factors can bias wildlife research and management inferences modeled from camera trap data. We investigated whether a camera trap enabled with edge
Taylor L. Kaltenbach, Jeffrey C. Mosley, Lance B. McNew, Jared T. Beaver   +3 more
doaj   +1 more source