Atomfair Brainwave Hub: SciBase II / Artificial Intelligence and Machine Learning / AI-driven scientific discovery and automation

AI-driven scientific discovery and automation

Showing 85-96 of 158 articles

Via exoplanet atmosphere analysis to detect biosignatures in M-dwarf systems

Simulating stellar evolution timescales with embodied active learning frameworks

Reducing industrial energy consumption through lights-out production with AI-driven automation

Investigating multiverse hypotheses using quantum entanglement and cosmic microwave background anomalies

Enhancing collaborative robot cells with adaptive AI for dynamic manufacturing environments

Optimizing semiconductor yields through lights-out production and AI-driven defect detection

Designing collaborative robot cells for precision agriculture using patent-expired industrial automation tech

Swarm robotics for autonomous construction of lunar regolith habitats via self-supervised learning

Using nuclear thermal propulsion for rapid interplanetary missions with human-in-the-loop adaptation

Designing post-2100 nuclear waste storage solutions with self-healing concrete and robotic monitoring

Developing flow chemistry robots for accelerated discovery of room-temperature superconductors

For asteroid mining via self-replicating robotic swarms with 3-year commercialization paths