A new study has demonstrated how networks of spiking nanolasers could emulate a key principle of brain function: to imagine ...

Abstract: Neuromorphic computing based on photonic nonlinear dynamics is gaining popularity, due to its low power consumption, as well as their scalability [1]. However, how nonlinearity scales with ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...

A new publication from Opto-Electronic Technology; DOI 10.29026/oet.2025.250011 , discusses integrated photonic synapses, neurons, memristors, and ...

Biocomputing research is testing living neurons for computation as scientists look for energy-efficient alternatives to ...

A new publication from Opto-Electronic Technology; DOI   10.29026/oet.2025.250011, discusses integrated photonic synapses, neurons, memristors, and neural networks for photonic neuromorphic computing.

Nanotechnology market continues to surge in prominence, driven by advancements in nanotubes and nanocomposites. This growth ...

Yiran Chen develops brain-inspired semiconductor hardware to enable faster, greener AI at the edge.

Neuromorphic computer solves differential equations ...

Neural circuits in the brain are highly sophisticated biological systems, orchestrating ultra-fast, parallel computations ...

Adding zinc ions to lithium niobate crystals cuts the energy needed for polarization switching by 69%, enabling visible-light programming of memristors for brain-inspired computing.

According to Valuates Reports, In 2024, the global market size of Neuromorphic AI Semiconductor was estimated to be worth USD 30.5 Million and is forecast to reach approximately USD 413 Million by ...