Atomfair Brainwave Hub: SciBase II / Artificial Intelligence and Machine Learning / AI and machine learning applications

AI and machine learning applications

Showing 49-60 of 318 articles

Optimizing autonomous robot navigation through sim-to-real transfer and self-supervised curriculum learning

Via self-supervised curriculum learning for robotic manipulation tasks

Enhancing brain-computer interfaces with embodied active learning for real-time adaptation

Employing neuromorphic computing architectures for real-time adaptive robotic swarm control

Synthesizing Sanskrit linguistics with NLP models to enhance machine translation accuracy

Marrying ethology with swarm robotics to develop bio-inspired conflict resolution algorithms for drone flocks

For brain-computer interfaces using non-invasive EEG signal enhancement techniques

Targeting prion disease reversal through catastrophic forgetting mitigation in neural networks

Merging archaeogenetics with machine learning to trace ancient human migrations

Optimizing proprioceptive feedback loops for enhanced robotic limb control

Revitalizing 1990s satellite constellations with modern AI-based signal processing

Digital twin manufacturing for personalized prosthetics with embodied active learning