Robot perception and cognition often rely on the integration of information from multiple sensory modalities, such as vision, ...

Sophelio, an award-winning applied AI and machine-learning company, has just announced the launch of the Data Fusion Labeler (dFL) , a platform designed to harmonize, label, and prepare complex ...

Autonomous laboratories and AI-driven experimentation are increasingly transforming how scientific discovery is conducted in chemistry, materials science, ...

It is trained on biomedical text data, and multiple data types coming from mice, rats, monkeys, and humans including transcriptomics, methylation, proteomics, and laboratory blood tests. Cambridge, MA ...

Meta Platforms Inc. today released the code for ImageBind, an internally developed artificial intelligence model that can process six different types of data. Meta says ImageBind outperforms some ...

Abstract: Advancing Multimodal AI for Integrated Understanding and Generation explores the transformative potential of multimodal artificial intelligence (AI), which integrates diverse data types such ...

Reflecting on the developments of 2024, this year has been transformative for the entire educational landscape. We’ve witnessed how the thoughtful integration of artificial intelligence can elevate ...

The success of a deep learning-based network intrusion detection systems (NIDS) relies on large-scale, labeled, realistic traffic. However, automated labeling of realistic traffic, such as by sand-box ...

Biologic agents themselves have also become more complex, going beyond simply producing naturally occurring macromolecules to altering or modifying them for increased efficiency or more specific ...

If you have engaged with the latest ChatGPT-4 AI model or perhaps the latest Google search engine, you will of already used multimodal artificial intelligence. However just a few years ago such easy ...