A review on explainability in multimodal deep neural nets

G Joshi, R Walambe, K Kotecha - IEEE Access, 2021 - ieeexplore.ieee.org
Artificial Intelligence techniques powered by deep neural nets have achieved much success
in several application domains, most significantly and notably in the Computer Vision …

Deep learning and the global workspace theory

R VanRullen, R Kanai - Trends in Neurosciences, 2021 - cell.com
Recent advances in deep learning have allowed artificial intelligence (AI) to reach near
human-level performance in many sensory, perceptual, linguistic, and cognitive tasks. There …

Consciousness in artificial intelligence: insights from the science of consciousness

P Butlin, R Long, E Elmoznino, Y Bengio… - arxiv preprint arxiv …, 2023 - arxiv.org
Whether current or near-term AI systems could be conscious is a topic of scientific interest
and increasing public concern. This report argues for, and exemplifies, a rigorous and …

Tensorformer: A tensor-based multimodal transformer for multimodal sentiment analysis and depression detection

H Sun, YW Chen, L Lin - IEEE transactions on affective …, 2022 - ieeexplore.ieee.org
Sentiment analysis is an important research field aiming to extract and fuse sentimental
information from human utterances. Due to the diversity of human sentiment, analyzing from …

A survey of technologies supporting design of a multimodal interactive robot for military communication

S Paul - Journal of Defense Analytics and Logistics, 2023 - emerald.com
Purpose This paper presents a survey of research into interactive robotic systems for the
purpose of identifying the state of the art capabilities as well as the extant gaps in this …

Cognitive robots and the conscious mind: a review of the global workspace theory

A Signa, A Chella, M Gentile - Current Robotics Reports, 2021 - Springer
Abstract Purpose of Review The theory of consciousness is a subject that has kept scholars
and researchers challenged for centuries. Even today it is not possible to define what …

Exploring multimodal fusion for continuous protective behavior detection

G Cen, C Wang, TA Olugbade… - 2022 10th …, 2022 - ieeexplore.ieee.org
Chronic pain is a prevalent condition that affects everyday life of people around the world.
Protective behaviors (strategies that are naturally but unhelpfully adopted by people with …

Comparison of deep learning approaches for protective behaviour detection under class imbalance from MoCap and EMG data

K Radouane, A Tchechmedjiev, B Xu… - 2021 9th International …, 2021 - ieeexplore.ieee.org
The AffecMove challenge organised in the context of the H2020 EnTimeMent project offers
three tasks of movement classification in realistic settings and use-cases. Our team, from the …

[KNIHA][B] Inevitable: Distributed Cognition & Network Superintelligence

TD Daniel - 2024 - books.google.com
Modern science has done an extremely good job of getting to the bottom of a number of
tough problems in information theory and the study of cognition. It is therefore surprising to …

[KNIHA][B] My Mind's Playing Tricks on Me: Understanding Event Integration in Rapid Stimulus Streams

MNG Hosseini - 2022 - search.proquest.com
Humans generally perceive the external world in a coherent manner. This perceptual
coherence exists in most individuals despite the supposedly overwhelming number of …