Discover how neuromorphic computing mimics the brain to deliver ultra-efficient, adaptive AI for edge devices, robotics, ...

Neuromorphic chips like Intel’s Loihi 2 demonstrate promise in reducing costs while enhancing processing speeds. It creates opportunities for advancements in smart devices, automation, and ...

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In particular, the article describes three prominent use cases, namely payload resource optimization, onboard interference detection and classification, and dynamic receive beamforming; and compares ...

Recent studies have found that the position of mice or rats can be decoded from calcium imaging of brain activity offline. However, given the complex analysis pipeline, real-time position decoding ...

“We reiterate here that Loihi imposes certain bit constraints on the parameters. For instance, membrane potential threshold ranges from 0 to ± 2 23, membrane time constant allows 0 to 2 12 bits. The ...

Specialized chips for artificial intelligence and machine learning, such as Google’s Tensor Processing Unit and Intel’s neuromorphic Loihi, are redefining what integrated circuits can do. Quantum and ...

The above will create and save a trained *.net file that will be loaded and ported to Loihi via netx. As part of the above command's execution, SLAYER will train and evaluate the Dense-SNN on the ...

Tutorial to execute MNIST image classification on Loihi-2 - Releases · DRosen766/fork-mnist-on-loihi ...