Results 141 to 150 of about 6,700 (266)

From Artificial to Embodied and Physical Intelligence in Smart Manufacturing

open access: yesAdvanced Science, EarlyView.
Smart manufacturing is reframed through complementary artificial, embodied, and physical intelligence, spanning computational reasoning, perception‐action coupling, and material‐level adaptation. Their integration across design, fabrication, operation, and maintenance reveals how intelligence can be co‐designed across algorithms, embodied agents, and ...
Kang Wang   +9 more
wiley   +1 more source

Metasurface‐Based Multidimensional Light‐Field Manipulation: From Technologies to Applications

open access: yesAdvanced Science, EarlyView.
Multidimensional metasurfaces enable versatile manipulation of multiple optical degrees of freedom, including phase, amplitude, polarization, wavelength, and orbital angular momentum. This review summarizes their fundamental mechanisms, emerging strategies for multidimensional light‐field control, and key applications in optical computing, imaging ...
Heliang Yin   +6 more
wiley   +1 more source

Hydrodynamic Selection of Polymorphic Assembly Pathways in Plant Protein Amyloid Fibrils

open access: yesAdvanced Science, EarlyView.
Hydrodynamic conditions are revealed to govern polymorphic assembly of soy protein amyloid fibrils. Distinct flow‐induced drafting, kissing, and docking dynamics direct fibril growth into multiple morphologies, linking fluid mechanics with nanoscale assembly and enabling rational design of functional amyloid materials.
Zejian Xu   +8 more
wiley   +1 more source

Device Stochasticity Directly Implements Bayesian Sampling in Spiking Neurons

open access: yesAdvanced Science, EarlyView.
Brain‐inspired stochastic spiking turns device noise into Bayesian uncertainty for robust, low‐power neuromorphic computing. ABSTRACT Device stochasticity is considered a non‐ideality in neuromorphic hardware, although stochastic neural activity supports probabilistic computation in biological systems.
Huannan Zheng, Jingli Liu, Kezhou Yang
wiley   +1 more source

Chip‐Level Voltage Controlled Magnetic p‐Bits Array with Variation Compensation for Stochastic Neural Network Computation

open access: yesAdvanced Science, EarlyView.
A chip‐level VCMA‐MTJ array is demonstrated for stochastic neural‐network computing. Combined with a tail‐truncation strategy to compensate for device‐to‐device variations, it establishes a hardware–software co‐design approach for scalable probabilistic computing.
Jiachen Bao   +15 more
wiley   +1 more source

Home - About - Disclaimer - Privacy