Artist Terence Broad makes AI produce images without any training data at all.

AI is being used to model gene regulation and predict cellular behavior from transcriptomic data. Learn how these tools aid ...

Generative Adversarial Networks (GANs) are a type of deep learning algorithm that can be used to generate realistic images and videos. GANs consist of two neural networks: a generator network and ...

However, because this technique uses a competitive training process, it can be unreliable, with its performance being inconsistent during each adversarial training step. This inconsistency arises from ...

Last year, I wrote about the 10 ways generative AI would transform software development, including early use cases in code generation, code validation, and other improvements in the software ...

The research firm believes generative AI's broader potential remains untapped because companies fear recurring cloud costs. By Viktor Eriksson. Jun 16, 2025 1 min.

Across all industries, generative AI has become the latest buzz word. Talk of implementing automation and AI solutions to enhance human capacity continues to dominate conversations.In fact ...

The data training phase of generative AI usually involves data mining, and the process of digitising non-electronic data may constitute an infringement of the right of reproduction. This is especially ...

Generative AI can significantly enhance various areas of clinical trials, including data gathering, patient engagement, knowledge processing, and document creation.

Google's building blocks. Apple needs many AI building blocks. To give you a better idea, take a look at what Google has implemented over the decades to ensure it's ready for this AI moment.