Deep Reinforcement Learning (DRL) techniques have allowed deep neural networks (DNN) based AI to move from theoretical concepts in the research lab to real-life, business solutions. Although tools such as the Microsoft Project Bonsai toolchain have tremendously streamlined, accelerated, and simplified the design, training, and deployment of Autonomous Systems AI agents, it does not mean they suddenly became simple…
The traditional AI training method is rarely applicable in real-life business use cases simply because it requires an amount of data seldom available to businesses. Using the self-training mechanism of deep reinforcement learning,…
There are many pitfalls and challenges to realizing the value of a computer vision in a business setting – from solving the wrong problem to not collecting enough data. In…
Once more a 100% digital event, Microsoft Build 2021 was chock-full of exciting news about AI services, IoT, and business applications. These technologies shifted during the pandemic, and they haven’t lost…
Everyone loves a good underdog story. A relatable, disadvantaged, and beloved character fights against insurmountable odds and ultimately comes out on top. But what about Game of Thrones, a book…
Before diving deep into the concept of using simulators to solve Reinforcement Learning (RL) real-world problems, let’s understand the basics of RL. What is Reinforcement Learning? Reinforcement Learning (RL) is an…
