Multimodal Learning News Today

Although science supports that each person processes information differently, assigning a student to one style of learning can limit educational growth.

As a newly emerging task, audio-visual question answering (AVQA) has attracted research attention. Compared with traditional single-modality (e.g., audio or visual) QA tasks, it poses new challenges due to the higher complexity of feature extraction and fusion brought by the multimodal inputs. First, AVQA requires more comprehensive understanding of the scene which involves both audio and visual information; Second, in the presence of more information, feature extraction has to be better connect...

A deep dive into Transformer a neural network architecture that was introduced in the famous paper “attention is all you need” in 2017, its applications, impacts, challenges and future directions

Exploring cognitive science principles for effective learning: attention, memory, active learning, feedback. Enhance your educational experiences.

Higher education IT association Educause has released a new resource to help educators and IT leaders navigate changing learning modalities and better serve student needs. Part of the associations Showcase Series, "Online, In-Person, or Hybrid? Yes" pulls together reports, lessons learned, and other materials that align with the corresponding Top 10 IT Issue for 2023.

Freezing of gait (FoG) is identified as a sudden and brief episode of movement cessation despite the intention to continue walking. It is one of the most disabling symptoms of Parkinson's disease (PD) and often leads to falls and injuries. Many computer-aided FoG detection methods have been proposed to use data collected from unimodal sources, such as motion sensors, pressure sensors, and video cameras. However, there are limited efforts of multimodal-based methods to maximize the value of ...

In progressing the use of big data in health systems, standardised nomenclature is required to enable data pooling and analyses. In many radiotherapy planning systems and their data archives, target volumes (TV) and organ-at-risk (OAR) structure nomenclature has not been standardised. Machine learning (ML) has been utilised to standardise volumes nomenclature in retrospective datasets. However, only subsets of the structures have been targeted. Within this paper, we proposed a new approach for s...

HANGZHOU, China, June 29, 2022 /PRNewswire/ -- STAR.VISION AEROSPACE GROUP LIMITED, a Chinese space technology innovator, has recently won the second place in the Multimodal Learning for Earth

Hangzhou, China--(Newsfile Corp. - June 28, 2022) - STAR.VISION from China won two runner-up prizes in the Multimodal Learning for Earth and Environment (MultiEarth 2022) Challenge on 19 June at the IEEE

Press release content from Business Wire. The AP news staff was not involved in its creation.