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Navigating the frontier of robotics and Machine Learning
PCQuest
|March 2024
Beyond conventional norms, CynLr's spiking neuron network is challenging the status quo. Leaning on data yet rich in customization, it propels robotics into an era of efficiency and collaborative innovation
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An interview with Gokul NA, Founder, CynLr provides an in-depth exploration of the intricate technological landscape shaping their endeavours. This article delves into the nuances of the discussion, shedding light on the distinctive technological strategies that set CynLr apart.
▼ The Core Technological Fabric: LabVIEW and C++
At the heart of Cyn Lr's technological architecture lies a strategic combination of LabVIEW and C++. Gokul sheds light on this deliberate choice, emphasizing the departure from mainstream libraries such as TensorFlow. Instead, CynLr champions a bespoke spiking neuron neural network, crafted in-house.
▼ A Customization Paradigm: Beyond Traditional Systems
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