How we teach data science now has many limitations. Universities, bootcamps and online courses have yet to provide an optimal learning experience that answers job market needs. A fourth way is needed.
The number of data scientists has grown over 650% over the past five years. Machine learning and deep learning skills are in huge demand at present, and the list of reasons you should join those already working in the profession is broad.
The company joins the prestigious NVIDIA Service Delivery Partner program as one of a handful of preferred partners worldwide providing professional services in deep learning.
The National Science Centre in Poland has granted deepsense.ai data scientist and University of Warsaw researcher, Piotr Miłoś, 500,000 USD. The project “Reinforcement Learning – contemporary challenges” is designed to help resolve long-standing open problems in training robots and game agents in difficult environments.
deepsense.ai ML team has been working with Google Brain on helping AI imagine and reason about the future. They started from optimizing TensorFlow’s infrastructure for reinforcement learning and moved to end-to-end training of AI entirely on Google’s newest Cloud TPUs.
Researchers from the University of Warsaw, Google AI and deepsense.ai take on a new reinforcement learning challenge on Cloud TPU hardware accelerators. The goal of the experiment is to end-to-end train an artificial intelligence to play video games fully inside a computation graph.