A new technical paper titled “Hardware Acceleration for Neural Networks: A Comprehensive Survey” was published by researchers ...

Neuroscience continually strives to unravel the intricate relationship between neural network morphology, spiking dynamics, and their resulting functional ...

Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

The researchers behind the recent work, based in China, decided to implement something similar for an artificial skin that ...

Artificial intelligence is colliding with a hard physical limit: the energy and heat of conventional chips. As models scale ...

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...

Organoid Intelligence (OI) represents a groundbreaking convergence of biology and technology, aiming to redefine biocomputing using brain organoids—three-dimensional neural structures derived from ...

Abstract: Longitudinal and converted shear wave seismic data depict unique and abundant seismic response characteristics of gas reservoirs and help to elucidate the multicomponent seismic attributes ...

Abstract: Due to the superiority of handling irregular regions of interest, the curvilinear grid finite difference method (CGFDM) has become wildely used in seismic simulation for earthquake hazard ...