Image, trained entirely on Huawei chips, as Beijing moves to block Nvidia H200 imports in a push for AI self-reliance.

Zhipu claims GLM-Image achieved industry-leading scores among open-source models for text rendering and Chinese character ...

See how machine learning is spotting Alzheimer’s years before symptoms begin—using brain scans to help guide earlier, more ...

Despite personal hardships and pandemic disruptions, Trinityhouse student Tristan Jay Neale achieved six distinctions while ...

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

With AI use now widespread among architects, they question isn’t whether practices use it, but how. What are the productivity ...

Abstract: The performance of optimization-based robot motion planning algorithms is highly dependent on the initial solutions, commonly obtained by running a sampling-based planner to obtain a ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

Peter was editor of The Journal of Computational Finance from 2008 to 2013. We have selected the papers in these two issues, contributed by his friends and colleagues worldwide, to reflect both the ...

Objective: This study aims to develop an explainable machine learning model, incorporating stacking techniques, to predict the occurrence of liver injury in patients with sepsis and provide decision ...

AWS Lambda provides a simple, scalable, and cost-effective solution for deploying AI models that eliminates the need for expensive licensing and tools. In the rapidly evolving landscape of artificial ...

Diffusion generative models have demonstrated remarkable success in visual domains such as image and video generation. They have also recently emerged as a promising approach in robotics, especially ...