Results 261 to 270 of about 430,787 (365)

Microfluidic Mixing with the Dynamic Control of Magnetic Actuation

open access: yesAdvanced Intelligent Systems, EarlyView.
Schematic illustration and flow field visualization of magnetically actuated L‐shaped microrobots displaying cooperative vortex generation for enhanced microscale mixing. The left side shows the electromagnetic actuation setup, which enables programmable control of rotational direction and frequency.
Prashant Kishor Sharma   +2 more
wiley   +1 more source

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

open access: yesAdvanced Intelligent Systems, EarlyView.
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

Current‐Limiting Control Strategies in Variable Capacitance Electrostatic Energy Harvesters

open access: yesAdvanced Intelligent Systems, EarlyView.
This work introduces control strategies for electrostatic energy harvesters that balance energy yield with current limitations. Two approaches are explored: traditional peak‐triggered controls, and newly developed quadrature controls, which use smooth voltage profiles.
Alireza Jalaliankhakshour   +4 more
wiley   +1 more source

A Fully Integrated Analog Processing‐in‐Memory System Based on Charge‐Trap Flash Synapse Arrays and Successive Integration‐and‐Rescaling Neurons

open access: yesAdvanced Intelligent Systems, EarlyView.
A fully integrated analog processing‐in‐memory system is demonstrated, combining charge‐trap flash synapse arrays with a successive integration‐and‐rescaling neuron circuit. The architecture performs bit‐sliced analog accumulation with high linearity and low power, achieving efficient and scalable analog in‐memory computing and bridging device‐level ...
Sojoong Kim   +4 more
wiley   +1 more source

Bio‐to‐Robot Transfer of Fish Sensorimotor Dynamics via Interpretable Model

open access: yesAdvanced Intelligent Systems, EarlyView.
This study demonstrates how a biologically interpretable model trained on real‐fish muscle activity can accurately predict the motion of a robotic fish. By linking real‐fish sensorimotor dynamics with robotic fish, the work offers a transparent, data‐efficient framework for transferring biological intelligence to bioinspired robotic systems.
Waqar Hussain Afridi   +6 more
wiley   +1 more source

Mammalian synthetic gene circuits for biopharmaceutical development & manufacture. [PDF]

open access: yesNPJ Syst Biol Appl
Lim SLY   +3 more
europepmc   +1 more source

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