As discussed in previous articles, here and here in particular, Deep Reinforcement Learning (DRL) trained AI agents can help optimize manufacturing processes across different manufacturing challenges aspects. In addition…
With Industry 4.0 comes the promise of leapfrog in productivity, quality, and the overall return on your manufacturing investment. A key driver of those improvements is the large amount of…
AI is getting more powerful every day, and we witness its presence in our daily lives solving tougher and tougher business and consumer problems. If with great power comes great responsibility, then with great AI capabilities comes great complexity.…
Unlocking the potential of AI in manufacturing with machine teaching and deep reinforcement learning
Machine teaching and deep reinforcement learning offer new opportunities to manufacturers looking to optimize complex processes.
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,…
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…
Autonomous Systems can solve many business problems by bringing AI from research labs to real-life use cases. Autonomous Systems leverage Deep Reinforcement Learning (DRL) techniques to train AI agents using…