AI and machine learning applications

Enhancing phase-change material synapses for neuromorphic computing under extreme temperatures

phase-change materials neuromorphic computing synapses extreme environments artificial intelligence

Sim-to-real transfer for autonomous robots in extreme lunar lava tubes

lunar exploration sim-to-real autonomous robots lava tubes AI training

Bridging current and next-gen AI with neurosymbolic integration frameworks

neurosymbolic AI hybrid systems neural networks symbolic reasoning next-gen AI

Synthesizing Sanskrit phonetics with transformer-based NLP models for low-resource language preservation

Sanskrit phonetics NLP models low-resource languages transformer architectures linguistic preservation

Employing catastrophic forgetting mitigation in neural networks for robust AI systems

catastrophic forgetting neural networks AI robustness continual learning machine learning

Marrying ethology with swarm robotics to enhance autonomous collective decision-making

ethology swarm robotics collective intelligence bio-inspired algorithms autonomous systems

For robotic tactile intelligence, mimicking octopus sucker adhesion mechanisms

bioinspired robotics tactile sensors octopus adhesion soft robotics gripper design

Bridging current and next-gen AI via self-assembled monolayer doping in neuromorphic computing

neuromorphic computing self-assembled monolayers AI hardware next-gen AI doping techniques

Enhancing neutrino detection sensitivity with deep learning and liquid scintillator purification

neutrino detection deep learning liquid scintillator particle physics signal processing

Mitigating signal distortion in neural networks across synaptic time delays

neural networks synaptic delays signal distortion bio-inspired computing latency compensation

Using explainability through disentanglement for interpretable deep learning models in medical diagnostics

explainable AI disentanglement medical diagnostics deep learning interpretability

Using fractal geometry to optimize neural network architectures for deep learning

fractal geometry neural networks deep learning optimization bio-inspired computing