AI and Machine Learning
3 terms
All
AI and Machine Learning
Applications
Basic concepts and types
Ethical Governance
Experimental designs and setups
Feedback and stimulations
Modalities
Neuroanatomy
Neurophysiology
Protocols and paradigms
Signal processing and analysis
System components
Machine Learning (ML)
تعلُّم الآلة
A subfield of AI focused on enabling machines to learn from data and improve performance on specific tasks without explicit programming.
Meta-Learning
التعلّم فوقي (أو التعلّم من التعلّم)
Learning the ability to rapidly adapt to new users or contexts using minimal training data.
Model Drift
انجراف النموذج (تغيّر الأداء بمرور الوقت بسبب تغيّر
Performance decline resulting from changes in the user's neural patterns over time.