Energy Efficient Low-Noise Neural Recording Amplifier With Enhanced Noise Efficiency Factor

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Within the context of contemporary machine learning problems, efficiency of optimization process depends on the properties of the model and the nature of the data available, which poses a significant problem as the complexity of either increases ad infinit ...

We report on the design and characterization of two inductive proximity sensors based on LC oscillators operating at 500 MHz. The distance from the target is obtained by measuring the oscillation frequency variation. Both sensors contain an off-chip LC res ...

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Energy Efficient Low-Noise Neural Recording Amplifier With Enhanced Noise Efficiency Factor

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Universal and adaptive methods for robust stochastic optimization

500 MHz high resolution proximity sensors with fully integrated digital counter

Multi-agent Learning with Privacy Guarantees

Millimeter-wave to near-terahertz sensors based on reversible insulator-to-metal transition in VO2

Data for: "A Neural-Network-Based Convex Regularizer for Inverse Problems"

Housing, street and health: a new systemic research framework

Integrated silicon photonic MEMS

Silicon spin qubits from laboratory to industry

New ultrahigh-speed device concepts: from THz nanoplasma devices to glass-like electronics for neuromorphic computation