Estimated read time 2 min read
Blog

What is the difference between StyleGAN and GAN?

StyleGAN is a specific implementation within the broader GAN framework, designed to address some limitations and enhance the quality and control of image generation. Traditional GANs can still be effective for various generative tasks, but StyleGAN has pushed the boundaries of image generation by producing highly realistic and visually impressive results.

Estimated read time 4 min read
Blog

Top 10 AI glossary items every beginner should know

Here are ten important glossary items in AI and machine learning that everyone should know, along with detailed descriptions and examples: Artificial Intelligence (AI): A [more…]

Estimated read time 5 min read
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Top 5 Powerful AI Text-to-Speech (TTS) Generators for Enhanced Content Delivery(2023.5)

The rise of artificial intelligence (AI) has ushered in a new era of text-to-speech (TTS) technology, providing a wide range of incredible TTS generators and [more…]

Estimated read time 3 min read
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Silent ‘Godfather’ of AI? The Controversy Surrounding Geoffrey Hinton’s Response to the Firing of Google’s AI Ethics Researchers

the article raises important questions about the role of prominent figures in the AI community in promoting ethical and responsible practices, and the need for greater diversity and inclusivity within the industry. The controversy surrounding Gebru and Mitchell’s firing has brought these issues to the forefront, and it will be important for the AI community to continue to engage in discussions about ethics, diversity, and accountability going forward.

Estimated read time 4 min read
Blog

Revolutionizing Journalism: How Generative AI is Shaping the Future of News

Generative AI is already starting to shape the future of journalism and the newsroom, and its impact is likely to become even more significant in the coming years. One key way in which generative AI is being used in journalism is through the creation of automated news articles. These articles can be generated using algorithms that can sift through large amounts of data, identify important trends or patterns, and use natural language processing to create written content that summarizes these findings in a clear and accessible way.