Results 131 to 140 of about 6,665,226 (290)
Annealing-inspired training of an optical neural network with ternary weights
Artificial neural networks (ANNs) represent a fundamentally connectionist and distributed approach to computing, and as such they differ from classical computers that utilize the von Neumann architecture.
Anas Skalli +5 more
doaj +1 more source
In-memory computing (IMC) is a paradigm-shifting approach to data processing that eliminates the sluggishness of transferring data between memory and processing units. By integrating computation directly within the memory, IMC accelerates performance for
Mohith V, Sakthivel R
doaj +1 more source
Spatiotemporal Computational Meta‐Imager for Broadband Dual‐Layer Optical Convolution
A single‐layer polarization‐multiplexed meta‐imager achieves factorized dual‐layer broadband convolution via spatiotemporal kernel decomposition. Fixed Bessel‐vortex bases and time‐sequential liquid‐crystal modulation deliver tunable signed weights and in‐situ fabrication‐error compensation. Experiments verify improved classification performance across
Mengguang Wang +6 more
wiley +1 more source
Advances in flexible perovskite memristors for neuromorphic electronics
The rapid growth toward digitization and artificial intelligence for high-performance storage technologies has spurred the development of brain-inspired neuromorphic electronics. In the post-Moore era, the conventional von Neumann computing architecture,
Shuanglong Wang +6 more
doaj +1 more source
The usage of dataflow model in GPU and big data processing
Dataflow model is an efficient computing model.It has been widely used in software and hardware fields due to its natural advantages in parallelism.In terms of hardware architecture,the dataflow model leads the computer architecture to the direction of ...
Huayou SU +3 more
doaj
Das Tragische / von Max Neumann [PDF]
DAS TRAGISCHE / VON MAX NEUMANN Das Tragische / von Max Neumann (1) Cover (1) Title page (3) Titelseite (5) Widmung (7) Vorwort (9) Verzeichniß der in der Abhandlung erwähnten Schriftsteller.
Neumann, Max
core
From Artificial to Embodied and Physical Intelligence in Smart Manufacturing
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
Interfacial nitrile dipoles unlock tunable memory in organic synaptic transistors through competing polarization and relaxation. Their finite time dynamics are directly harnessed for acoustic reservoir computing, delivering 97.17% spoken digit recognition, reliable speech emotion and snoring recognition, and an ultralow event energy of only 50 aJ ...
Yutian Liu +13 more
wiley +1 more source
Highly Linear Perovskite Synapses for Neuromorphic Computing
Voltage spikes applied to an Au/ACI‐phase perovskite/ITO memristor emulate the ionic signaling of a biological synapse, generating a tunable postsynaptic current. The vertically aligned perovskite film confines iodide‐vacancy migration, enabling highly linear, and symmetric conductance updates with 100 states and 5.5 aJ per event. Such synapses sustain
Zhongwen Sun +7 more
wiley +1 more source

