Deep Learning and academia are bonded to one another. Academics have been shaping and reforming the very face of artificial intelligence and the properties that it can be adjusted to for years. Due to a huge surge of innovation with researchers and academics over the years who work with deep learning frameworks as essential tools such as Caffe 2, MXNet, and TensorFlow, Deep Learning has been utilised in academia for far longer than most industries and continues to build and grow.
The academic world, from computer science, informatics, physics, to public policy, has rapidly adopted Deep Learning to benefit organisations and projects by cleaning up resources and boosting system utilities for advanced properties.
Academics can build their own system to target specific data. Human-error is slashed, as is continuous maintenance concerns. The data is yours to be extracted, to help you in changing the world we live in.
Novatech is in a position to support Deep Learning and help you shape the world of tomorrow, today. Contact one of our dedicated team to find out more about how DL could change the way that you research.