Atomfair Brainwave Hub: SciBase II / Artificial Intelligence and Machine Learning / AI and machine learning in scientific discovery

AI and machine learning in scientific discovery

Showing 13-24 of 74 articles

Detecting biosignatures via exoplanet atmosphere analysis with next-generation telescopes

Testing multiverse hypotheses through anomalies in cosmic microwave background polarization patterns

Via exoplanet atmosphere analysis to identify biosignatures with next-generation telescopes

Across multiverse hypotheses through quantum decoherence pattern analysis

Projecting 2040 applications of Planck-scale approximations in quantum gravity

Catalyst discovery algorithms for accelerating green ammonia synthesis

Exploring quantum decoherence through failed experiment reanalysis in superconducting qubits

Detecting biosignatures across galactic distances using next-generation telescopes

Analyzing gravitational wave periods during black hole merger ringdown phases

Millisecond pulsar timing arrays for detecting low-frequency gravitational waves with existing radio telescopes

Connecting dark matter research with non-Newtonian fluid dynamics in cosmic simulations

Employing spectral analysis AI to decode faint exoplanet atmospheric signatures