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 ...

In the evolving landscape of oncology, skin cancer diagnosis stands out as a domain where the synergy between AI and multimodal imaging is rapidly changing ...

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

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 ...

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 ...

Yun Sing, also known as Tony Siu, approaches artificial intelligence with a practical, long‑term mindset. He sees every project, whether research, engineering work, or community involvement, as one ...