Researchers at the University of Pennsylvania have launched Observer, the first multimodal medical dataset to capture anonymized, real-time interactions between patients and clinicians. Much like the ...

This article and associated images are based on a poster originally authored by Matthew Chung, William Guesdon, Kai Lawson-McDowall and Matthew Alderdice and presented at ELRIG Drug Discovery 2025 in ...

CHICAGO--(BUSINESS WIRE)--Tempus AI, Inc. (NASDAQ: TEM), a technology company leading the adoption of AI to advance precision medicine and patient care, today announces an expansion to its ...

This study addresses the challenges in teacher emotion recognition (TER), namely the lack of high-quality multimodal datasets and insufficient modeling of common and discriminative emotional features ...

The dataset is built from 10 real-world simulated environments in the RealMan Beijing Humanoid Robot Data Training Center.

AnyGPT is an innovative multimodal large language model (LLM) is capable of understanding and generating content across various data types, including speech, text, images, and music. This model is ...

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 ...

What if you could unlock the full potential of AI models to seamlessly process text, images, PDFs, and even audio—all in one experiment? For many, the challenge of integrating diverse data types into ...

The Polymathic AI team has released two massive datasets for training artificial intelligence models to tackle problems across scientific disciplines. The datasets include data from dozens of sources.

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Salesforce AI Research this week has quietly released MINT-1T, a mammoth ...