generative AI

Can robots learn from machine dreams?

For roboticists, one challenge towers above all others: generalization — the power...

Harnessing Generative AI for Test Automation and Reporting

The generative AI market size is predicted to achieve $36.06 billion in 2024. It has completely modified software development and quality assurance (QA) processes, delivering high-quality products faster.One area where generative AI has contributed...

Despite its impressive output, generative AI doesn’t have a coherent understanding of the world

Large language models can do impressive things, like write poetry or generate...

Making it easier to confirm an AI model’s responses

Despite their impressive capabilities, large language models are removed from perfect. These...

How Adobe is Shielding Artists from AI Misuse

Lately, the growing ability of generative AI to create realistic visuals, mimic artistic styles, and produce entirely latest types of expression has redefined how art is made and experienced. While this transformation offers remarkable...

AI simulation gives people a glimpse of their potential future self

Have you ever ever desired to travel through time to see what...

3 Questions: Should we label AI systems like we do pharmaceuticals?

Nature Computational ScienceMIT NewsQ: Why do we want responsible use labels for AI...

Understanding Diffusion Models: A Deep Dive into Generative AI

Diffusion models have emerged as a strong approach in generative AI, producing state-of-the-art leads to image, audio, and video generation. On this in-depth technical article, we'll explore how diffusion models work, their key innovations,...

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