Atomfair Brainwave Hub: SciBase II / Artificial Intelligence and Machine Learning / AI-driven innovations and computational methods

AI-driven innovations and computational methods

Showing 61-72 of 88 articles

Simulating prion disease reversal mechanisms via computational protein folding dynamics

For sparse mixture-of-experts models in real-time gravitational wave detection

Enhancing enzyme turnover numbers through directed evolution and computational protein design

Employing neglected mathematical tools for quantum error correction breakthroughs

Retrofitting 1990s satellite constellations with AI-driven propulsion for extended orbital lifetimes

Synthesizing algebraic geometry with neural networks for high-dimensional data compression

Optimizing generative design algorithms for self-assembling space habitats by 2026

Decoding neurotransmitter release events during lucid dreaming for consciousness mapping

Across interstellar medium conditions: simulating dust grain chemistry in protoplanetary disks

Dynamic token routing in decentralized networks for resilient IoT communication

In Planck-scale approximations of spacetime foam using tensor network simulations

Probing room-temperature superconductors through solvent selection engines for material discovery