By releasing RealSource, RealMan Robotics aims to break data silos and accelerate global embodied intelligence research. The company plans to continue expanding the dataset, adding scenarios and ...

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 ...

A new National Science Foundation (NSF) award will support UC Santa Barbara researchers in developing the next generation of cyberinfrastructure for multimodal imaging data. Leading the effort is B. S ...

In the early stages of AI adoption, enterprises primarily worked with narrow models trained on single data types—text, images or speech, but rarely all at once. That era is ending. Today’s leading AI ...

Aging is a complex, multi-system process that shapes health trajectories and risk for age-related outcomes across the life course. At the same time, aging ...

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

OneMedNet has announced a strategic partnership with Protege, an AI training data platform, to provide real-time access to multimodal patient data for AI developers and researchers in the healthcare ...

The company on Jan. 20 announced Lucidworks Data Enrichment, a new feature that uses multimodal generative AI to ...

Researchers have traditionally employed histopathology techniques, which involve the microscopic examination of tissue, to gain insight into disease processes. This approach often leads to subjective ...

In today’s fast-moving biopharma landscape, companies face increasing pressure to deliver the right treatment, to the right patient, at the right time, faster and more efficiently. As our ...