Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...
Retina-inspired cascaded van der Waals heterostructures for photoelectric-ion neuromorphic computing
Professor Zhen Zhang's research group at the State Key Laboratory of Bionic Interface Materials Science, University of Science and Technology of China, proposed and constructed a neuromorphic ...
Professor Zhen Zhang's research group at the State Key Laboratory of Bionic Interface Materials Science, University of ...
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.
As sensor data overwhelms the cloud, Innatera’s neuromorphic chips bring always-on, ultra-low-power AI directly to the edge. But how?
What are spiking neural networks (SNNs)? Why the Akida Pico neural processing unit (NPU) can use so little power to handle machine-learning models. Why neuromorphic computing is important to ...
A new publication from Opto-Electronic Technology; DOI 10.29026/oet.2025.250011 , discusses integrated photonic synapses, neurons, memristors, and ...
San Diego, Nov. 24, 2025 – Kneron, a San Diego-based company developing neural processing units (NPUs) for AI, today announced its KL1140 chip. It is built to bring LLMs to edge devices, delivering up ...
Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...
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