AI and machine learning applications

Advancing robotic tactile intelligence with bio-inspired sensor arrays and machine learning

robotic tactile sensors bio-inspired design machine learning haptic feedback robotics

Through few-shot hypernetworks for rapid adaptation in swarm robotics

few-shot learning hypernetworks swarm robotics meta-learning decentralized control

Employing silicon photonics co-integration for ultra-low-power optical neural networks

silicon photonics optical computing neural networks energy efficiency co-integration

Using neurosymbolic integration to enhance robotic decision-making in dynamic environments

neurosymbolic AI robotics decision-making dynamic environments hybrid systems

Energy-efficient attention mechanisms for edge-computing applications in IoT networks

energy-efficient AI edge computing IoT networks attention mechanisms low-power algorithms

Mitigating catastrophic forgetting in neuromorphic computing through synaptic plasticity algorithms

catastrophic forgetting neuromorphic engineering synaptic plasticity AI robustness continual learning

Bridging current and next-gen AI through hybrid neurosymbolic architectures for robust reasoning

neurosymbolic AI hybrid architectures robust reasoning interpretability next-gen AI

Marrying psychedelic research with neural decoding to map serotonin receptor dynamics

psychedelics neural decoding serotonin receptors fMRI neuroplasticity

Merging archaeogenetics with machine learning to reconstruct ancient human migrations

archaeogenetics machine learning ancient DNA population genetics migration patterns

Through catastrophic forgetting mitigation in continual learning neural networks

catastrophic forgetting continual learning neural networks memory retention adaptive algorithms

Via multimodal fusion architectures for cross-species neurocommunication decoding

multimodal fusion neurocommunication brain-computer interfaces interspecies translation neural decoding

Through catastrophic forgetting mitigation in artificial neural networks for lifelong learning

machine learning neural networks continual learning AI robustness cognitive modeling