Hang Qi is an inventive woman based in Mountain View, CA (US). She is known for her contributions to the field of artificial intelligence and visual effects. Although she currently holds no granted patents, her work is paving the way for future innovations in technology.

Latest Patent Applications

Hang Qi has submitted several notable patent applications. One of her latest applications is titled "GENERATIVE ARTIFICIAL INTELLIGENCE VISUAL EFFECT GENERATOR." This method and system enhance text with image-based visual effects. An initial text prompt, including a phrase for display, is submitted to a language model, which outputs a candidate prompt. The candidate prompt may be further modified to create an image prompt. This image prompt is then submitted to an image-generating model that produces an image. A visual effect of the display phrase based on the image is subsequently displayed.

Another significant application is "Systems and Methods for Federated Learning of Machine-Learned Models with Sampled Softmax." This disclosure presents a novel, resource-efficient approach for learning image representation through federated learning, referred to as federated sampled SoftMax. The federated learning clients sample a set of negative classes and optimize only the corresponding model parameters concerning a sampled SoftMax objective. This method significantly reduces the number of parameters transferred to and optimized by client devices while performing comparably to the standard full SoftMax method. This innovation creates the potential for efficiently learning image representations on decentralized data while preserving privacy.

Conclusion

Hang Qi is an emerging inventor whose latest patent applications reflect her innovative spirit and dedication to advancing technology. Her work in generative artificial intelligence and federated learning showcases her potential to make significant contributions to the field.