AI and machine learning applications

Via multi-modal embodiment to enhance human-robot collaboration in deep-space construction

human-robot interaction space construction virtual interfaces embodied cognition orbital engineering

Combining ancient and modern methods to decode extinct language syntax

ancient languages AI decoding philology syntax reconstruction undeciphered scripts

Using explainability through disentanglement in deep learning for medical diagnostics

explainable AI disentanglement medical diagnostics deep learning interpretability

Enhancing sparse mixture-of-experts models for efficient large-scale language model training

mixture-of-experts sparse models language models AI efficiency neural networks

Employing spectral analysis AI to decode ancient astronomical records for new celestial insights

spectral analysis AI astronomy historical records celestial phenomena machine learning

Modeling neural decision-making across axonal propagation delays using neglected mathematical tools

neural dynamics axonal delays decision-making mathematical biology computational neuroscience

Across neural population dynamics during decision-making under uncertainty

computational neuroscience decision theory population coding uncertainty resolution prefrontal cortex

Embodied active learning for neural prosthetics in zero-gravity environments

neural prosthetics microgravity machine learning motor adaptation haptic feedback

Merging archaeogenetics with machine learning to reconstruct ancient human migration pathways

archaeogenetics machine learning ancient DNA human migration population genetics

Through catastrophic forgetting mitigation, can artificial neural networks retain old tasks while learning new ones?

catastrophic forgetting artificial neural networks continual learning AI memory retention sequential training

Optimizing synaptic time delays for enhanced neural network stability in brain-computer interfaces

synaptic delays neural stability brain-computer interfaces neuroprosthetics temporal coding

Through catastrophic forgetting mitigation in neural networks for lifelong learning systems

catastrophic forgetting neural networks lifelong learning AI robustness continual learning