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 25-36 of 74 articles

Through failed experiment reanalysis to uncover overlooked quantum phenomena

During neurotransmitter release events to map synaptic plasticity in real-time

For millisecond pulsar intervals: high-precision timing arrays to detect primordial gravitational waves

Across synaptic vesicle recycling: decoding ultrafast neurotransmitter release mechanisms with super-resolution imaging

Via exoplanet atmosphere analysis to detect biosignatures with next-gen telescopes

Analyzing exoplanet atmospheres for biosignatures using next-generation space telescopes

Decoding magnetar magnetic field decay via X-ray observatory data analysis

Detecting biosignatures in exoplanet atmospheres through advanced spectroscopic techniques

Galactic rotation period effects on dark matter distribution using patent-expired telescope designs

Mapping stellar evolution timescales for intermediate-mass stars using Gaia DR3 data

Integrating art-inspired scientific approaches to improve protein folding visualization tools

During gamma-ray burst afterglows to probe interstellar medium composition