We currently have 14 entries in this glossary.
Neuro-Symbolic AI: Combining symbolic reasoning with deep learning for more interpretable and reliable AI models.
Neuro-Symbolic AI: Combining symbolic reasoning with deep learning for more interpretable and reliable AI models.
Reinforcement Learning: Training AI systems through trial and error, using rewards to guide them towards desired outcomes. Applied in robotics, game playing, and dynamic decision-making.
Reinforcement Learning: Training AI systems through trial and error, using rewards to guide them towards desired outcomes. Applied in robotics, game playing, and dynamic decision-making.
