Digital content is nowadays available from multiple, heterogeneous sources across a wide range of sensing modalities. Learning from multimodal sources offers the unprecedented possibility of capturing ...

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 ...

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

Machine learning observability startup Aporia Technologies Ltd. today launched Guardrails for Multimodal AI Applications, a new service that extends its existing artificial intelligence guardrails ...

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 ...

Transformer-based models have rapidly spread from text to speech, vision, and other modalities. This has created challenges for the development of Neural Processing Units (NPUs). NPUs must now ...

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...

ApertureData, the company solving the data management challenges for large scale, multimodal data, is announcing the close of its oversubscribed seed round, having raised $8.25 million for its purpose ...

Google DeepMind quietly revealed a significant advancement in their artificial intelligence (AI) research on Tuesday, presenting a new autoregressive model aimed at improving the understanding of long ...