Abstract: Multi-modal personality traits recognition is crucial for advancing human-computer interaction, yet current methods struggle with extracting distinguishable features, mitigating inter-modal ...

Abstract: Recent advances in Multimodal Entity Linking leverage multimodal information to link target mentions to corresponding entities. However, existing methods uniformly adopt a “one-size-fits-all ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

A global simulation study suggests that pandemic school shutdowns did more than interrupt learning, they may have widened inequality and reduced children’s chances of surpassing their parents’ ...

Denton ISD will revive its virtual learning program for the 2026-2027 school year following new state legislation, according to a presentation at the Feb. 10 board of trustees meeting. The online ...

After advancing in lockstep through the pandemic, the fortunes of the biotechs have diverged as their use of COVID-19 windfalls has taken shape. BioNTech and Moderna were two of the big winners of the ...

Integrating artificial intelligence (AI) with healthcare data is rapidly transforming medical diagnostics and driving progress toward precision medicine. However, effectively leveraging multimodal ...

To be useful in more dynamic and less structured environments, robots need artificial intelligence trained on a variety of sensory inputs. Microsoft Corp. today announced Rho-alpha, or ρα, the first ...

ABSTRACT: The COVID-19 pandemic disrupted schooling worldwide and forced education systems to reconsider what knowledge and skills are most critical when time, access, and support are limited. In ...

Tumor Site–Specific Radiation-Induced Lymphocyte Depletion Models After Fractionated Radiotherapy: Considerations of Model Structure From an Aggregate Data Meta-Analysis Lymphocytes play critical ...