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When you swish your mouth with water after every meal, you’re offering the teeth and gums a less acidic, healthier environment. Just make sure to get to the bathroom as soon as you take your ...
A 1930s poster from the Work Projects Administration promoting oral hygiene. Tooth decay is the most common global disease. [14] Over 80% of cavities occur inside fissures in teeth where brushing cannot reach food left trapped after eating and saliva and fluoride have no access to neutralize acid and remineralize demineralized teeth, unlike easy-to-clean parts of the tooth, where fewer ...
A man brushing his teeth while looking in a mirror. Tooth brushing is the act of scrubbing teeth with a toothbrush equipped with toothpaste.Interdental cleaning (with floss or an interdental brush) can be useful with tooth brushing, and together these two activities are the primary means of cleaning teeth, one of the main aspects of oral hygiene. [1]
Flux (also known as FLUX.1) is a text-to-image model developed by Black Forest Labs, based in Freiburg im Breisgau, Germany. Black Forest Labs were founded by former employees of Stability AI . As with other text-to-image models, Flux generates images from natural language descriptions, called prompts .
Since OpenAI initially launched its text-to-image creation tool, Dall-E, in 2021, the concept of AI-generated artwork has swamped social media and become a focus of consumer products. Google’s ...
Artificial intelligence company OpenAI released the video generation program Sora for use by its customers Monday.. The program ingests written prompts and creates digital videos of up to 20 ...
Ideogram was founded in 2022 by Mohammad Norouzi, William Chan, Chitwan Saharia, and Jonathan Ho to develop a better text-to-image model. [3]It was first released with its 0.1 model on August 22, 2023, [4] after receiving $16.5 million in seed funding, which itself was led by Andreessen Horowitz and Index Ventures.
By utilizing a pre-trained image diffusion model as a base generator, the model efficiently generated high-quality and coherent videos. Fine-tuning the pre-trained model on video data addressed the domain gap between image and video data, enhancing the model's ability to produce realistic and consistent video sequences. [14]