Results 91 to 100 of about 60,322 (264)

SpikeRL: A Scalable and Energy-efficient Framework for Deep Spiking Reinforcement Learning*

2025 International Conference on Neuromorphic Systems (ICONS)
In this era of AI revolution, massive investments in large-scale data-driven AI systems demand high-performance computing, consuming tremendous energy and resources. This trend raises new challenges in optimizing sustainability without sacrificing scalability or performance.
Tokey Tahmid, Mark Gates, Piotr Luszczek, Catherine D. Schuman   +3 more
openaire   +2 more sources

New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design

Advanced Engineering Materials, EarlyView.
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare, Y. Beideler, D. Chune, R. De Guio, T. Roland, H. Chibane   +5 more
wiley   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

A hybrid Spiking Neural Network–Transformer architecture for motor imagery and sleep apnea detection

Frontiers in Neuroscience
IntroductionMotor imagery (MI) classification and sleep apnea (SA) detection are two critical tasks in brain-computer interface (BCI) and biomedical signal analysis. Traditional deep learning models have shown promise in these domains, but often struggle
Duc Thien Pham, Maryam Khoshkhooy Titkanlou, Roman Mouček   +2 more
doaj   +1 more source

Molecular Adsorbing Host•Guest (MAHG) Crystals: A New Paradigm for Porous Materials?

Advanced Functional Materials, EarlyView.
Networking! Introduction of guest molecules in macrocycles before crystallization profoundly influences the material obtained in terms of structure and function. Beside simplicity and porous space improvement, this approach is endowed with a huge potential given the myriad of potential guest molecules that can be used to tune this burgeoning class of ...
Ingrid Suzana, Michel Giorgi, Anthony Kermagoret, Alexandre Martinez, David Bardelang   +4 more
wiley   +1 more source

Reinforcement Learning-Based Energy Management for Hybrid Power Systems: State-of-the-Art Survey, Review, and Perspectives

Chinese Journal of Mechanical Engineering
The new energy vehicle plays a crucial role in green transportation, and the energy management strategy of hybrid power systems is essential for ensuring energy-efficient driving.
Xiaolin Tang, Jiaxin Chen, Yechen Qin, Teng Liu, Kai Yang, Amir Khajepour, Shen Li   +6 more
doaj   +1 more source

Artificial Intelligence Enabled Future Wireless Electric Vehicles with Multi-Model Learning and Decision Making Models

Tsinghua Science and Technology
In the contemporary era, driverless vehicles are a reality due to the proliferation of distributed technologies, sensing technologies, and Machine to Machine (M2M) communications.
Gajula Ramesh, Anil Kumar Budati, Shayla Islam, Louai A. Maghrabi, Abdullah Al-Atwai   +4 more
doaj   +1 more source

Intermediate Resistive State in Wafer‐Scale Vertical MoS2 Memristors Through Lateral Silver Filament Growth for Artificial Synapse Applications

Advanced Functional Materials, EarlyView.
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa, Milan Buttberg, Ke Ran, Rana Walied Ahmad, Dennis Braun, Lukas Völkel, Jimin Lee, Sofía Cruces, Bart Macco, Bárbara Canto, Holger Lerch, Thorsten Wahlbrink, Holger Kalisch, Michael Heuken, Andrei Vescan, Joachim Mayer, Zhenxing Wang, Ilia Valov, Stephan Menzel, Max C. Lemme   +19 more
wiley   +1 more source

Achieving High ON State Current through Ferroelectric Polarization‐Dependent Interfacial Resistance Switching in Undoped Orthorhombic HfO2 Films

Advanced Functional Materials, EarlyView.
Ferroelectric tunnel junction devices based on epitaxial undoped ferroelectric HfO2 films demonstrate stable switching endurance of over 106 switching cycles, low write voltages of ±3 V, 16 measured resistance states, and neuromorphic capability.
Markus Hellenbrand, Nuno Estrócio, Ji S. Kim, Babak Bakhit, Marian C. Istrate, Corneliu Ghica, Tiago Rebelo, Nives Strkalj, Abin Varghese, Bernardo Almeida, Luís S. Marques, Bipin Rajendran, Judith L. MacManus‐Driscoll, José P. B. Silva   +13 more
wiley   +1 more source

Smart Energy-Efficient Encryption for Wireless Multimedia Sensor Networks Using Deep Learning

IEEE Open Journal of the Communications Society
Wireless multimedia sensor networks (WMSNs) have gained considerable attention across various applications due to their capabilities for real-time multimedia data collection, efficient monitoring, and flexible deployment. Despite advancements, challenges
Osama A. Khashan, Nour M. Khafajah, Waleed Alomoush, Mohammad Alshinwan, Emad Alomari   +4 more
doaj   +1 more source