Integrating humans with AI in structural design

Modern fabrication tools such as 3D printers can make structural materials in shapes that would have been difficult or impossible using conventional tools. Meanwhile, new generative design systems can take great advantage of this flexibility to create innovative designs for parts of a new building, car, or virtually any other device.

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Teaching old labels new tricks in heterogeneous graphs

Posted by Minji Yoon, Research Intern, and Bryan Perozzi, Research Scientist, Google Research, Graph Mining Team Industrial applications of machine learning are commonly composed of various items that have differing data modalities or feature distributions. Heterogeneous graphs (HGs) offer a unified view of these multimodal data systems by defining multiple types of nodes (for each …

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Virtual fashion styling with generative AI using Amazon SageMaker 

The fashion industry is a highly lucrative business, with an estimated value of $2.1 trillion by 2025, as reported by the World Bank. This field encompasses a diverse range of segments, such as the creation, manufacture, distribution, and sales of clothing, shoes, and accessories. The industry is in a constant state of change, with new …

Glean Founders Talk AI-Powered Enterprise Search

The quest for knowledge at work can feel like searching for a needle in a haystack. But what if the haystack itself could reveal where the needle is? That’s the promise of large language models, or LLMs, the subject of this week’s episode of the NVIDIA AI Podcast featuring Deedy Das and Eddie Zhou, founding …

A new approach to improve robot navigation in crowded environments

While robots have become increasingly advanced over the past few years, most of them are still unable to reliably navigate very crowded spaces, such as public areas or roads in urban environments. To be implemented on a large-scale and in the smart cities of the future, however, robots will need to be able to navigate …