How Deep Reinforcement Learning Can Make Factories Efficient & Dispatch Products Faster

Manufacturing and production systems have a lot of catching up to do with the world of software. The manufacturing ecosystem has seen a lot of upgrade and innovation but it still lags in terms of software application. With the onslaught of artificial intelligence, new opportunities have opened for the sector to leverage new technology and improve productivity.
Manufacturing and production systems have a lot of catching up to do with the world of software. The manufacturing ecosystem has seen a lot of upgrade and innovation but it still lags in terms of software application. With the onslaught of artificial intelligence, new opportunities have opened for the sector to leverage new technology and improve productivity. In the recent decade, deep learning is driving most of the innovation in AI. Deep learning systems have found applications in a variety of fields such as healthcare, aviation, agriculture and many others. The ability to experiment with different architectures that specialise in specific tasks has also been a special feature in modern-day deep learning systems. Deep Improvements In Dispatching  One of the most important
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Picture of Abhijeet Katte
Abhijeet Katte
As a thorough data geek, most of Abhijeet's day is spent in building and writing about intelligent systems. He also has deep interests in philosophy, economics and literature.
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