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 ...

Multimodal large language models are beginning to transform science education by combining text, visuals, audio, and other data to enrich teaching and learning. From analyzing classroom interactions ...

The integration of artificial intelligence (AI) and computational intelligence techniques has revolutionized biomedical signal processing by enabling more precise disease diagnostics and patient ...

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 ...

Multimodal AI tools like Google’s NotebookLM are transforming how people research, organize, and present ideas by combining text, visuals, audio, and video in one workflow. They help users absorb ...

The PlantIF framework consists of image and text feature extractors, semantic space encoders, and a multimodal feature fusion module. Image and text feature extractors are used to present visual and ...

The researchers argue that traditional centralized learning platforms are no longer equipped to handle the scale, speed, and ...

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 ...

Micro-gesture recognition (MGR) is emerging as a new frontier in affective computing, focused on analyzing subtle, involuntary body movements that ...