Muse, a new Text-To-Image Generation that can produce photos of a high quality
Meanwhile Google AI released a research paper about Muse, a new Text-To-Image Generation that can produce photos of a high quality comparable to those produced by models like the DALL-E 2 and Imagen at a rate that is far faster.
Muse uses a 900 million parameter model called a masked generative transformer to create visuals instead of pixel-space diffusion or autoregressive models. Google AI has trained a series of Muse models with varying sizes, ranging from 632 million to 3 billion parameters, finding that conditioning on a pre-trained large language model is crucial for generating photorealistic, high-quality images.
In recent years, the term “Internet of Things” (IoT) has become one of the most popular in the tech world. It promised to connect billions of devices. The next stage was the Industrial Internet of Things (IIoT), which brought revolutionary changes to production processes. Today, a new term is coming onto the scene – AIoT (Artificial Intelligence of Things), combining the capabilities of the Internet of Things with the power of AI.
Sixty-eight IT executives from 15 countries, including Brazil, India, USA, Saudi Arabia, Turkey, Kazakhstan, and Indonesia participated in the project.
June 2024 was a very dynamic month for AI and data analytics market, marked by significant events, product launches, and industry insights.
Artem Kalivanov, CIO of Beeline Uzbekistan, discussed IT project management in terms of project definition, management models like Waterfall and Agile methodologies, and the importance of Lean in process management.