Results 71 to 80 of about 93,163 (295)
Advanced edge computing architecture for AI-driven automation and slicing in beyond 5G [PDF]
This paper proposes an open, modular, and distributed architecture for the edge-to-cloud compute continuum, in synergy with the beyond 5G and 6G architectural trends.
Kartsakli, Elli +13 more
core +1 more source
Directed evolution of enzymes at the crossroads of tradition and innovation
FEBS Open Bio, EarlyView.An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
Security threats and risks in Edge AI
Rozprawy SpołeczneThe aim of this article is to conduct a comprehensive analysis of security threats affecting end devices in Edge AI environments, with particular emphasis on their specific vulnerabilities resulting from architectural and technical limitations. Material
Wiktor Sędkowski
doaj +1 more source
Roadmap for edge AI: A Dagstuhl Perspective [PDF]
, 2022 Based on the collective input of Dagstuhl Seminar (21342), this paper presents a comprehensive discussion on AI methods and capabilities in the context of edge computing, referred as Edge AI.
Aral, Atakan +18 more
core
Loss of AMBRA1 activates MAPK and angiogenesis signaling pathways in melanoma cells
FEBS Open Bio, EarlyView.Loss of AMBRA1 in melanoma cells activates multiple oncogenic pathways associated with tumor progression. Transcriptomic and protein network analyses revealed that AMBRA1 depletion enhances MAPK/ERK signaling, angiogenesis, TGF‐β/EMT signaling, and Wnt/axon guidance pathways.
Milad Ibrahim +4 more
wiley +1 more source
MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis
FEBS Open Bio, EarlyView.MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss +7 more
wiley +1 more source
Green Edge AI: A Contemporary Survey [PDF]
Artificial intelligence (AI) technologies have emerged as pivotal enablers across a multitude of industries largely due to their significant resurgence over the past decade. The transformative power of AI is primarily derived from the utilization of deep
Yu, Xianghao +4 more
core +4 more sources
Flexible Edge-AI Software Execution Architecture Based on Cloud-Connected Incremental Learning
IEEE AccessEdge AI computing transcends the passive execution of predefined software by making inferences in response to inputs. However, AI inference at the edge is only matrix operations with statically loaded weights defined in on-chip code flash memory.
Myeongjin Kang, Daejin Park
doaj +1 more source
How Heavy is the Edge? Resource Utilization of Edge Generative AI on Distributed AI Infrastructure [PDF]
/Distributed AI infrastructures are extensively employed in cloud industry settings to accommodate the growing demands of AI services. However, extending such infrastructures to the edge remains under exploration.
Wu, Liang +3 more
core +1 more source
Intelligent Tutoring Systems for Adult Learning in STEM Disciplines
New Directions for Adult and Continuing Education, EarlyView.ABSTRACT Intelligent tutoring systems (ITS) are reshaping adult learning in STEM by providing adaptive, data‐driven instruction across classrooms, workplaces, and informal environments. In the context of ITS, this article compares generative AI, which creates personalized explanations and practice materials, with explainable AI, which focuses on ...
Jill Zarestky, Amanda R. Lager Gleason
wiley +1 more source