Attendees sit below a Gemini sign at Google I/O on May 19, 2026 in Mountain View, California. The two day developers conference highlights Google's new products and technologies including their AI ...
Multimodal sensing in physical AI (PAI), sometimes called embodied AI, is the ability for AI to fuse diverse sensory inputs, like vision, audio, touch, lidar, text, and more, from its environment to ...
Recent advances in pathology foundation models, pre-trained on large-scale histopathology images, have greatly advanced disease-focused applications. At the same time, spatial multi-omic technologies ...
Recent advancements in multimodal slow-thinking systems have demonstrated remarkable performance across diverse visual reasoning tasks. However, their capabilities in text-rich image reasoning tasks ...
What if the most new achievement in artificial intelligence wasn’t the end of the story, but merely the opening act? Imagine a system so advanced it could not only solve complex problems but also ...
After more than a month of rumors and feverish speculation — including Polymarket wagering on the release date — Google today unveiled Gemini 3, its newest proprietary frontier model family and the ...
Credit: Image generated by VentureBeat with Gemini 2.5 Flash (nano banana) AI models are only as good as the data they're trained on. That data generally needs to be labeled, curated and organized ...
Dongba script is one of the few pictographic writing systems still in use, characterized by nonlinear structure and strong integration of text and images, which hinders direct application of ...
Abstract: In the context of factory informatization, there is a growing need to automatically obtain information from diverse document images. Multimodal information extraction from visually rich ...
Towards General Text-guided Universal Image Synthesis for Customized Multimodal Brain MRI Generation
Welcome! This is the official implementation of TUMSyn, which is a Text-guided Universal MR image Synthesis framework. It can flexibly generate brain MR images with demanded image contrast and spatial ...
Abstract: Vision-language pretraining (VLP) models have demonstrated outstanding performance in image-text understanding tasks but remain highly susceptible to transferable adversarial attacks. While ...
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