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

AI-driven scientific discovery and automation

Showing 25-36 of 158 articles

Optimizing industrial automation with collaborative robot cells for flexible manufacturing lines

Connecting medieval alchemy techniques with modern high-throughput materials discovery

Across multiverse hypotheses and their testable signatures in cosmic microwave data

With embodied active learning in quantum chemistry simulation environments

Via self-optimizing reactors in picocubic reaction chambers for nanoscale synthesis

Affordance-based manipulation in robotics using currently available materials for adaptive grasping

Detecting biosignatures via exoplanet atmosphere analysis using next-gen space telescopes

Using swarm robotics for autonomous bridge construction in hazardous environments

Optimizing chemical reaction yields through autonomous lab assistants and solvent selection engines

For automated retrosynthesis via coral reef electro-accretion inspired mineralization pathways

Using swarm robotics for autonomous bridge construction in remote areas

Via catalyst discovery algorithms to accelerate sustainable fuel production