IIMCNet: Intra- and Inter-modality Correlation Network for Hybrid EEG-fNIRS Brain-Computer Interface
Abstract: Hybrid Brain-Computer Interface (BCI) enhances accuracy and reliability by leveraging the complementary information provided by multi-modality signal fusion. EEG-fNIRS, a fusion of ...
The hype around automation and AI-driven workflows can obscure a fundamental truth: developers still need human interaction.
Once the domain of buttons and knobs, car dashboards are increasingly home to large touchscreens. While that makes following ...
By uncommon coincidence, perhaps, AI-first software code orchestration layer company Zencoder has now launched the Zenflow ...
New research from the UW and the Toyota Research Institute explores how drivers trade off between cognitive tasks, driving ...
Abstract: Brain-Computer Interfaces (BCI) and Neurofeedback (NFB) approaches, which both rely on real-time monitoring of brain activity, are increasingly being applied in rehabilitation, assistive ...
At M.I.T., a new program called “artificial intelligence and decision-making” is now the second-most-popular undergraduate major. By Natasha Singer Natasha Singer covers computer science and A.I.
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