Results 51 to 60 of about 93,163 (295)

Edge AI-Brain–Computer Interfaces System: A Survey

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Edge artificial intelligence (Edge AI) has emerged as a transformative paradigm for enhancing the performance, portability, and autonomy of brain–computer interface (BCI) systems.
Manh-Dat Nguyen, Thomas Do, Xuan-The Tran, Quoc-Toan Nguyen, Chin-Teng Lin   +4 more
doaj   +1 more source

In vitro and in silico modelling of ROS1‐positive non‐small cell lung cancer reveals fusion‐dependent tyrosine kinase inhibitor responses

Molecular Oncology, EarlyView.
Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq, Marc Terrones, Felicia Rodrigues Fortes, Anne Schepers, Alessia Denis, Christophe Deben, Ken Op de Beeck, Guy Van Camp, Geert Vandeweyer   +8 more
wiley   +1 more source

Astrocyte heterogeneity in brain metastases

Molecular Oncology, EarlyView.
Astrocytes emerge as pivotal regulators of metastatic colonization, survival, immune remodeling, and therapy response associated with an increasing heterogeneity that requires spatially and longitudinally resolved approaches to uncover regulatory programs and guide context‐specific therapies.
Carolina Hernández‐Oliver, Neibla Priego, Manuel Valiente   +2 more
wiley   +1 more source

Exploring Computing Paradigms for Electric Vehicles: From Cloud to Edge Intelligence, Challenges and Future Directions

World Electric Vehicle Journal
Electric vehicles are widely adopted globally as a sustainable mode of transportation. With the increased availability of onboard computation and communication capabilities, vehicles are moving towards automated driving and intelligent transportation ...
Sachin B. Chougule, Bharat S. Chaudhari, Sheetal N. Ghorpade, Marco Zennaro   +3 more
doaj   +1 more source

From tiny-AI to lite-AI in edge computing [PDF]

, 2023
: This keynote navigates the transformation of AI models used in edge computing, transitioning from Tiny AI to Lite AI. The discussion commences with the prevalence of Tiny ML in edge computing.
MD Ali, Mohd Adli
core  

Automated FRAP microscopy for high‐throughput analysis of protein dynamics in chromatin organization and transcription

FEBS Open Bio, EarlyView.
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz, Bart Geverts, Johan A. Slotman, Andrea Sacchetti, Stefan Prekovic, Martin E. van Royen, Adriaan B. Houtsmuller   +6 more
wiley   +1 more source

Intelligent patrol terminal of transmission line based on AI chip accelerated calculation

Energy Reports, 2023
With the rapid development of artificial intelligence and information recognition technology, the edge intelligent terminal based on AI chip provides a new way for power patrol.
Yadi Zhang, Jian Li, Wencheng Sun, Jie Zhang, Yuhui Peng, Zhao Chen, Xianfeng Zheng, Liwen Peng   +7 more
doaj   +1 more source

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

FEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei, Fredrik Orädd, Konstantinos Magkakis, Magnus Andersson   +3 more
wiley   +1 more source

AI Services-Oriented Dynamic Computing Resource Scheduling Algorithm Based on Distributed Data Parallelism in Edge Computing Network of Smart Grid

Future Internet
Massive computational resources are required by a booming number of artificial intelligence (AI) services in the communication network of the smart grid.
Jing Zou, Peizhe Xin, Chang Wang, Heli Zhang, Lei Wei, Ying Wang   +5 more
doaj   +1 more source

DycSe: A Low-Power, Dynamic Reconfiguration Column Streaming-Based Convolution Engine for Resource-Aware Edge AI Accelerators

Journal of Low Power Electronics and Applications, 2023
Edge AI accelerators are utilized to accelerate the computation in edge AI devices such as image recognition sensors on robotics, door lockers, drones, and remote sensing satellites.
Weison Lin, Yajun Zhu, Tughrul Arslan
doaj   +1 more source