Generative Artificial Intelligence
Artificial Intelligence is a simulation of human intelligence in machines that are programmed to think like humans and mimic their actions.
Generative Artificial Intelligence:
Generative Artificial Intelligence is a branch of AI that focuses on generating content like generating images, writing text, making music, etc. Generative AI is a strategic AI technology trend for 2022. Generative AI may be used for several purposes including artistic purposes, generating content for media outlets, personal creativity, or education. They can also create more general intelligence, solve problems and adapt to different situations.
Generative AI can be used for distinct purposes. Some of them are:
Identity Protection:
Generative AI?avatars have been used to protect the identity of interviewees in news reports about the persecution of LGBTQ people in Russia.
Image Processing.
Generative AI is used in upscaling low-resolution images to higher-resolution images.
Film Restoration:
Generative AI enhances old images and old movies by upscaling them to 4K and beyond, which generates 60 frames per second instead of 23 or less, removes noise, adds colors, and makes them sharp.
Audio Synthesis:
Generative AI can?render any computer-generated voice?into one that truly sounds like?a human voice. Even I, the narrator of this video am a product of generative AI.
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Health Care:
Generative AI can be employed for rendering prosthetic limbs,?organic molecules, and other items from scratch when actuated through?3D printing,?CRISPR, and other technologies. It can also enable early identification of potential malignancy to more effective treatment plans. IBM is currently using this technology to research antimicrobial peptides (AMP)?to find drugs for?COVID-19.
Hard to Control:
Some models of Generative AI like GANs are unstable?as well as it is?hard to control their behavior, they sometimes do not generate the expected outputs, and it’s hard to figure out why.
Pseudo Imagination:
Generative AI algorithms still need a vast amount of training data to perform tasks. GANs cannot create entirely new things. They only combine what they know in new ways.
Security:
Malicious actors can use?Generative AI?for deceitful purposes like scamming people, fraudulent activities, and creating fake spammy news.
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