M&E Journal: AI Accelerating the M&E Content Supply Chain

Since there tends to be confusion and misunderstanding of what AI is and is not and how it relates to things like machine learning, deep learning, and generative AI, let’s start with a brief history of AI.

Contrary to public belief, AI isn’t a new concept.

It all started in 1956 at a conference where researchers birthed artificial intelligence as the field of computer science that seeks to create intelligent machines that can replicate or exceed human intelligence. Machine learning (ML) is a subset of AI that was developed in 1997 to enable machines to learn from existing data and improve upon that data to make decisions or predictions.

Deep learning is a more recent area that was established in 2017 and is a machine learning technique in which layers of neural networks are used to process data and make decisions … basically, attempts to simulate the behavior of the human brain.

In 2021, generative AI was born as a type of AI that uses deep learning techniques to create new written, visual, and auditory content given prompts or existing data.

This is the area where large language models like ChatGPT and Bard or image generators like Stable Diffusion, Midjourney and DALL-E and audio generation tools like VALL-E have recently gained their claim to fame.

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