The new integration of multimodal AI with Barracuda's machine learning classifiers and purpose-built sandbox engine creates ...

An artificial intelligence (AI) model improved outcomes in hospitalized patients by quadrupling the rate of detection and ...

Cybersecurity company Barracuda Networks Inc. today unveiled new threat detection capabilities fueled by multimodal ...

Educators can leverage math class to teach students the problem-solving and interpersonal skills they will need.

Estimating the pose of hand-held objects is a critical and challenging problem in robotics and computer vision. While leveraging multi-modal RGB and depth data is a promising solution, existing ...

🦉 OWL is a cutting-edge framework for multi-agent collaboration that pushes the boundaries of task automation, built on top of the CAMEL-AI Framework. Our vision is to revolutionize how AI agents ...

The true strength of multimodal AI lies in its ability to gather and interpret diverse data sources—whether imaging, genetic ...

Educators have long debated the merits of these two approaches, but a new report in Psychological ... The report, titled ...

Neurological disorders, including neurodegenerative diseases, brain tumors, and other conditions like stroke and epilepsy, increasingly burden healthcare ...

Frustrated by the narrow lens of traditional grading, this instructional coach and former English teacher redesigned his ...

In this study, we investigated whether a multimodal deep learning approach could be used to predict overall survival in a large cohort of never smoking lung adenocarcinoma patients from the ...