Results 51 to 60 of about 3,365 (183)

Stratigraphy of the Hawai'i Scientific Drilling Project core (HSDP2): Anatomy of a Hawaiian shield volcano [PDF]

open access: yes, 2007
The Hawai'i Scientific Drilling Project (HSDP2) successfully drilled ∼3.1 km into the island of Hawai'i. Drilling started on Mauna Loa volcano, drilling 247 m of subaerial lavas before encountering 832 m of subaerial Mauna Kea lavas, followed by 2019 m ...
Baker, Michael   +3 more
core   +1 more source

Magnetic Field‐Modulated Boolean Logic in Proteinoid‐ Fe3 O4 Hybrid Materials

open access: yesAdvanced Physics Research, EarlyView.
Proteinoid‐Fe3O4${\rm Fe}_3{\rm O}_4$. nanoparticle composites exhibit spontaneous electrical oscillations that emulate Boolean logic gates (AND, OR, XOR, NAND, NOR, NOT) under magnetic field modulation. External fields of 65.103 mT tune oscillatory behavior: 84 mT enhances amplitude while 103 mT suppresses it.
Panagiotis Mougkogiannis   +1 more
wiley   +1 more source

Energy-Efficient on-Board Radio Resource Management for Satellite Communications via Neuromorphic Computing

open access: yesIEEE Transactions on Machine Learning in Communications and Networking
The latest Satellite Communication (SatCom) missions are characterized by a fully reconfigurable on-board software-defined payload, capable of adapting radio resources to the temporal and spatial variations of the system traffic.
Flor Ortiz   +8 more
doaj   +1 more source

Geochemical Consequences of Melt Percolation: The Upper Mantle as a Chromatographic Column [PDF]

open access: yes, 1987
As magmas rise toward the surface, they traverse regions of the mantle and crust with which they are not in equilibrium; to the extent that time and the intimacy of their physical contact permit, the melts and country rocks will interact chemically. We
Navon, Oded, Stolper, Edward
core   +1 more source

Opportunities for 2D‐Material‐Based Multifunctional Devices and Systems in Bioinspired Neural Networks

open access: yesSmall, EarlyView.
Bio‐inspired computing offers a route to highly energy‐efficient artificial intelligence. The unique physical properties of two‐dimensional (2D) materials can further enhance such computing approaches. This perspective highlights recent developments in 2D materials‐based neuromorphic devices and discusses future opportunities for integrating such novel
Jin Feng Leong   +9 more
wiley   +1 more source

Organic Transistor‐Based Neuromorphic Electronics and Their Recent Applications

open access: yesSmall Methods, EarlyView.
This review highlights recent progress in organic neuromorphic electronics, showing how organic semiconductors enable synaptic and neuronal functions with low power, mechanical flexibility, and biocompatibility. By bridging materials, devices, and systems, organic platforms are accelerating brain‐inspired computing toward applications in artificial ...
Ziru Wang, Feng Yan
wiley   +1 more source

Oxygen isotope ratios in olivine from the Hawaii Scientific Drilling Project [PDF]

open access: yes, 1996
Oxygen isotope ratios of olivine in 23 tholeiites from the Hawaii Scientific Drilling Project (HSDP) core (15 from Mauna Kea, 8 from Mauna Loa) and three samples of outcropping subaerial or dredged submarine Mauna Kea lavas have been measured by laser ...
Eiler, John M.   +2 more
core   +1 more source

Review of Memristors for In‐Memory Computing and Spiking Neural Networks

open access: yesAdvanced Intelligent Systems, Volume 8, Issue 3, March 2026.
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari   +2 more
wiley   +1 more source

Toward Trustworthy Neuromorphic AI: A Bayesian Framework for Uncertainty‐Aware Spiking Neural Networks

open access: yesEngineering Reports, Volume 8, Issue 3, March 2026.
This work presents a Bayesian Spiking Neural Network framework that combines variational inference with surrogate gradient learning, enabling accurate classification and well‐calibrated uncertainty estimation. The approach advances trustworthy, energy‐efficient neuromorphic AI for safety‐critical and edge intelligence applications.
Solomon Mamo Banteywalu, Paul Leroux
wiley   +1 more source

Efficient Video and Audio Processing with Loihi 2

open access: yesICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
5 pages, 3 ...
Shrestha, Sumit Bam   +4 more
openaire   +3 more sources

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