Advanced materials for neurotechnology and computing

Combining lattice cryptography with protein folding for secure biomolecular computing

lattice cryptography protein folding biomolecular computing encryption computational biology

Targeting prion disease reversal via CRISPR-based gene editing and protein misfolding inhibitors

prion disease CRISPR protein misfolding neurodegenerative therapy

Via backside power delivery networks for 3D-stacked neuromorphic computing architectures

monolithic 3D integration spiking neural networks voltage drop mitigation wafer-level packaging

Across axonal propagation delays, measuring neural synchronization in neurodegenerative diseases

axonal delay neurodegeneration neural synchronization action potential tauopathy

Bridging fundamental and applied research with neuromorphic computing for edge AI

neuromorphic computing edge AI applied neuroscience energy-efficient computing brain-inspired algorithms

Optimizing neurotransmitter release events for targeted drug delivery in Parkinson's disease

neurotransmitter release synaptic vesicles Parkinson's disease drug delivery exocytosis

Through femtosecond laser ablation to create ultra-precise neural interfaces for brain-computer integration

femtosecond laser neural interfaces brain-computer integration precision engineering neurotechnology

With phase-change material synapses for energy-efficient neuromorphic computing systems

phase-change materials neuromorphic computing energy-efficient AI neural synapses brain-inspired chips

Through back-end-of-line thermal management in 3D stacked neuromorphic chips

thermal management 3D integration neuromorphic engineering heat dissipation back-end-of-line

Using 2D material heterostructures to create brain-inspired neuromorphic computing chips

neuromorphic computing 2D materials heterostructures synaptic plasticity

Enhancing explainability in deep neural networks through disentanglement of latent representations

disentanglement explainable AI latent representations deep learning interpretability

With resistive RAM for in-memory computing architectures in edge AI devices

resistive RAM in-memory computing neuromorphic engineering edge AI hardware acceleration