This dissertation investigates how to make modern AI systems safer as they grow more capable. It addresses two central sources of risk: malicious misuse, in which adversarial users coerce models […]
Electrochemical impedance spectroscopy (EIS) is the workhorse measurement behind lithium-ion battery diagnostics, biosensing, and corrosion science — yet no integrated circuit has ever delivered the complete capability of a benchtop […]
This dissertation investigates how neuromorphic and brain-inspired principles can guide the design of efficient neural language architectures. It addresses two central limitations of modern Transformer-based language models: memory growth with […]