Generative AI refers to AI techniques that learn a representation of artifacts from data, and use it to generate brand-new, unique artifacts that resemble but don’t repeat the original data. Featured One-Minute Insights Active Ambassadors in This Topic R Romano Roth Zühlke Engineering AG Health...
Microsoft Azure users are now able to harness the latest advancements in NVIDIA's accelerated computing technology, revolutionising the training and deployment of their generative AI applications. The integration of Azure ND H100 v5 virtual machines (VMs) with NVIDIA H100 Tensor Core GPUs and Quantum...
From health systems and payers to vendors, organizations are using AI to solve some of their most fundamental challenges. The release of OpenAI’s generative AI-enabled chatbot ChatGPT has opened healthcare organizations to a world of possibilities. Check back for the latest in healthcare AI. ...
The emergence of generative artificial intelligence (AI) has revolutionized various fields. In ophthalmology, generative AI has the potential to enhance efficiency, accuracy, personalization and innovation in clinical practice and medical research, through processing data, streamlining medical documentation, fa...
More research also provides an intuitive explanation of diffusion models for more accessible research in generative AI and shows how neural methods can reduce the complexity of conventional graphics algorithms, entering the era of neural graphics. Technologies from Intel researchers, such as Intel® ...
could be planning an ad campaign around a new teddy bear and want to visualize the toy in different situations, such as a teddy bear tea party. To enable this level of specificity in the output of a generative AI model, researchers from Tel Aviv University and NVIDIA have two SIGGRAPH pape...
There has been an increase in big generative models like ChatGPT and Stable Diffusion over the last two years. These models are capable of a wide range of activities, including providing general answers and producing creative representations. They have a significant impact on a variety of ...
Generative AI will surface a multitude of use cases, some of which that have never been encountered and some will touch multiple regulatory obligations in different jurisdictions. Awareness of the latest regulatory perspectives, conversations and statements will be crucial to ensuring firms are able to...
Generative AI AI Transformation Across Industries AI Today: On the Ground with BCG Responsible AI and AI Risks AI, Tech, and DataFeatured Insights Where’s the Value in AI? READ NOW AI Transformation for Future-Ready Functions Explore the series Which Economies Are Ready for AI?: The AI ...
In a traditional Read more Deciphering AI from Human Generated Text: The Behavioral Approach One of the most important elements of building a well-functioning AI model is consistent human feedback. When generative AI models are trained by human annotators, they serve Read more Data Quality: ...