The term artificial intelligence or AI is no longer new to us. Its existence and implementation have brought many benefits to every industry including manufacturing, healthcare, and business. As years goes by, the field of AI had broadens its scope and results in the revelation of various AI related technologies. Nowadays, the application of AI is essential either as an important tool for accelerating digital business or as innovation tool and research. This is further evident by the recent release of Gartner’s top strategic technology trends for 2022 report as most of the technologies being listed are AI related technologies which include Generative AI, AI engineering and decision intelligence. What exactly is generative artificial intelligence or generative AI?
Generative artificial intelligence or generative AI refers to program that enables machines to utilise certain algorithms to create similar new content from the original resources such as images, texts, audio files and codes. In broader explanation, it uses certain application of AI practice and technology such as generative adversarial networks (GANs), variational autoencoders, and transformers to allow computers to learn fundamental patterns reliable to input to then output similar content.
Generative AI can be seen its contribution in many implementation – from identity protection, film restoration, image processing to healthcare. The most significant example of generative AI is that it is used in creating drug for obsessive compulsive disorder (OCD) treatment and most importantly it took less than 12 months for the manufacturing process. Moreover, the impact of the application of generative AI is promising as Gartner predicted that more than 30% of new drugs and materials will be systematically discovered through generative AI techniques.
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