Quel problème résolvez-vous?
With the emergence of deep learning and AI technologies on mobile and embedded devices, application developers must deal with strict computation and resource constraints. These constraints limit the performance of advanced algorithms like Deep Neural Networks (DNNs) in every day environments, ultimately preventing people from using AI on mobile devices. Furthermore, many cloud based AI solutions must have constant internet connection, leading to costly infrastructure, privacy concerns and can prevent real-time results. There exists a strong need to bring the power of deep learning to run on mobile devices, making AI more accessible and affordable.
Quelle est votre solution (produit, logiciel, service) et qu’est-ce qui vous différencie avec la concurrence?
Deeplite developed Neutrino, an intelligent optimization software that makes deep neural networks faster, smaller and energy-efficient for use on every day devices. Our technology leverages years of research at top univerisities and AI itself to automatically optimize DNNs to satisfy target computation constraints. The result is adaptive and robust DNNs suitable for real-time, large-scale and resource-limited AI applications.
Deeplite offers a unique, AI-driven design space exploration that helps reduce the engineering effort and time-to-market drastically for sophisticated deep learning workloads. We aim to provide a flexible, scalable and powerful tool that outperforms our competitors in booth DNN performance and ease-of-use. As more businesses look to develop cost-effective AI, our solution is poised to make deep learning in daily life possible.
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