Automation transformed humanity into a global society. Then, scientists recognized the potential for artificial intelligence (AI) and were baffled by its potential. It is one thing to have a machine follow a set of commands, but self-learning was almost unbelievable. Machine learning (ML), combined with modern automation and robotics, demonstrated the potential for a self-evolving supply chain. A new reality is on the horizon.
AI is capable of affecting its own supply chain. Development of hardware components is a key area. The parallel processing of GPUs that work well with deep learning enable this. While AI is not applicable to the whole of manufacturing at this time, it does surpass human capabilities in regard to inspection and quality control. Some industry experts predict that AI innovation will advance quickly. If this is the case, then AI will soon be applied to the global supply chain as a whole. This includes industries like mining, manufacturing, assembly, marketing, and delivery.
NVIDIA is one of the best known brands for online gaming equipment. The company specializes in parallel processing that delivers powerful graphics, effectively making it the most influential hardware manufacturer for the AI industry. Already, it has formed several important deep learning partnerships. One reason is that of its manufacturing process. NVIDIA uses deep learning to innovate its Printed Circuit Board. An innovation like this is exactly what the AI industry needs.
GPU development is NIVIDIA’s specialty. Its innovation is not limited by the linear functions of CPUs. Thus, the company can use its research and development team to simultaneously innovate its GPU for public distribution while evolving the underlying manufacturing process. This is a positive cycle that expects continue growth as long as GPUs are in demand.
In the future, we will very likely see companies like NIVIDIA convert more of the supply chain to advanced AI. ML applications for large datasets, in terms of pattern discovery, will exponentially speed up innovation.
AI evolution needs to be guided by humans. Industry experts are concerned about placing AI in full control of a supply chain, as it specifically calls into question the ‘block box’ of deep decision making. To address these concerns, several projects aim to advance AI to explain how deep learning decisions were made. Humans want AI to be capable of forming its own supply chain, but for relevant worldly purposes — and without replacing their own jobs as well.