Currently, deep learning is the most important technique for solving many complex machine vision problems. State-of-the-art deep learning models typically contain a very large number of parameters ...

In the evolving landscape of artificial intelligence (AI), the assumption that more data lead to better models has driven unchecked reliance on synthetic data to augment training datasets. Although ...

In a recent study published in the journal Nature Medicine, researchers used diffusion models for data augmentation to increase the robustness and fairness of medical machine learning (ML) models in ...

Observing individual cells through microscopes can reveal a range of important cell biological phenomena that frequently play a role in human diseases, but the process of distinguishing single cells ...

In today's rapidly evolving landscape of artificial intelligence (AI), two key concepts have emerged at the forefront of innovation: synthetic data and generative AI. Although these terms are likely ...

SAN JOSE, Calif.--(BUSINESS WIRE)--Edge Impulse, the leading platform for building, refining and deploying machine learning models to edge devices, has launched new capabilities that leverage ...

You've just finished a strenuous hike to the top of a mountain. You're exhausted but elated. The view of the city below is gorgeous, and you want to capture the moment on camera. But it's already ...

CarMax. has been granted a patent for a system that generates synthetic images using a method involving three neural networks. The system trains these networks to create images that meet specific ...

(The Conversation is an independent and nonprofit source of news, analysis and commentary from academic experts.) Ambuj Tewari, University of Michigan (THE CONVERSATION) You’ve just finished a ...

Ambuj Tewari receives funding from NSF and NIH. You’ve just finished a strenuous hike to the top of a mountain. You’re exhausted but elated. The view of the city below is gorgeous, and you want to ...