Results 121 to 130 of about 80,765 (249)
ABSTRACT The accelerating expansion of data‐centric technologies is sharply increasing the energy burden of information storage, placing unprecedented pressure on the efficiency of magnetic switching. Conventional field‐driven reversal, once the foundation of magnetic memory, has become impractical in modern architectures due to its high energy cost ...
Mohammad H. Badarneh +2 more
wiley +1 more source
Bimodal iontronic skins powered by edge intelligence for real-time collaborative interaction. [PDF]
Li Z +11 more
europepmc +1 more source
Osmotic Cloud-Edge Intelligence for IoT-Based Cyber-Physical Systems. [PDF]
Loseto G +7 more
europepmc +1 more source
Controlling the protein corona formation onto carbon nanomaterials (CNMs) enhances their functionalities as platforms for cancer theranostics. Here, we reviewed the effects of the intrinsic and acquired properties of CNMs on protein corona formation, the consequent biological and toxicological outcomes, and the strategies to reshape corona formation ...
Yajuan Zou +5 more
wiley +1 more source
Edge Intelligence-Driven Bearing Fault Diagnosis: A Lightweight Anti-Noise Diagnostic Framework. [PDF]
Lin X, Wang W, Peng X, Zhang B, Liu L.
europepmc +1 more source
Dynamic QoS/QoE-aware reliable service composition framework for edge intelligence. [PDF]
Hayyolalam V, Otoum S, Özkasap Ö.
europepmc +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Lightweight and interpretable edge intelligence AI with intrusion detection for trustworthy cardiac arrhythmia in medical IoT. [PDF]
Khalid MI +3 more
europepmc +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Hallucination-aware learning and latency optimization transformer (HALL-OPT) for real-time edge intelligence. [PDF]
Algawiaz D.
europepmc +1 more source

