What Is A Generative Adversarial Network? A generative adversarial network (GAN) is a type of machine learning model that uses two competing neural networks to generate new data that resembles the ...
A new study by UCL Institute of Cognitive Neuroscience proposes that generative AI can help explain both the human imagination and memory formation. The study utilized an AI computational model, also ...
Recent advances in generative AI help to explain how memories enable us to learn about the world, re-live old experiences and construct totally new experiences for imagination and planning, according ...
A new framework for generative diffusion models was developed by researchers at Science Tokyo, significantly improving ...
IBM (NYSE:IBM) and AMD (NASDAQ:AMD) are collaborating to deliver advanced AI infrastructure to San Francisco-based ...
The target article (Pater 2019) proposes to use neural networks to model learning within existing grammatical frameworks. This is easier said than done. There is a fundamental gap to be bridged that ...
Autonomous vehicles, connected ecosystems, and smart factories are only the beginning. Generative AI is pushing the auto ...
Photoshop already includes Adobe’s Firefly AI models, which are commercially safe for use in creative workflows. The addition of Gemini 2.5 Flash Image and FLUX.1 Kontext broadens what creatives can ...
A generative AI framework predicts stable antiferromagnets, identifying semiconductors and metals with properties suited for ...