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 ...

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

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 ...

Apply Nonlinear Support Vector Machines (NSVMs) and Fourier transforms to analyze and process visual data. Use probabilistic reasoning and implement Recurrent Neural Networks (RNNs) to model temporal ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

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 ...