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 ...

A multi-agent system consists of a collection of decision-making or learning agents subjected to streaming observations from some real-world phenomenon. The goal of the system is to solve some global learning or optimization problem in a distributed or dec ...

In the quest for low power bio-inspired spiking sensors, functional oxides like vanadium dioxide are expected to enable future energy efficient sensing. Here, we report uncooled millimeter-wave spiking detectors based on the sensitivity of insulator-to-met ...

Data for: "A Neural-Network-Based Convex Regularizer for Inverse Problems". The corresponding scripts can be accessed on GitHub (https://github.com/axgoujon/convex_ridge_regularizers). The data is organized as follows: - ct_data_sets.tar.gz: contains prepr ...

As the world’s population grows in cities, urban dwellers spend a large amount of time inside their home, making housing health ever more important. Critical for residents’ health, the interactions between indoor residential environments and outdoor enviro ...

Silicon photonics has emerged as a mature technology that is expected to play a key role in critical emerging applications, including very high data rate optical communications, distance sensing for autonomous vehicles, photonic-accelerated computing, and ...

Quantum computation (QC) is one of the most challenging quantum technologies that promise to revolutionize data computation in the long-term by outperforming the classical supercomputers in specific applications. Errors will hamper this quantum revolution ...

There is a never-ending push for electronic systems to provide faster operation speeds, higher energy efficiencies, and higher power capabilities at smaller scales. These requirements are apparent in different areas of electronics, from radiofrequency (RF) ...

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

Chattez avec Graph Search

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