3D-Stacked CMOS SPAD Image Sensors: Technology and Applications

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Hydrogels have emerged as promising materials for bioelectronic interfaces due to their tissue-like properties and high-water content. However, conventional hydrogels often suffer from poor electrical conductivity and mechanical stability, limiting their p ...

The faithful bidirectional quantum coherent conversion of microwave (5 GHz) and optical (193.5 THz) quantum states will become essential for future quantum networks. Due to their low transition frequency, qubit states are quickly destroyed at room temperat ...

Photometric stereo, a computer vision technique for estimating the 3D shape of objects through images captured under varying illumination conditions, has been a topic of research for nearly four decades. In its general formulation, photometric stereo is an ...

The increasing complexity of transformer models in artificial intelligence expands their computational costs, memory usage, and energy consumption. Hardware acceleration tackles the ensuing challenges by designing processors and accelerators tailored for t ...

The centrosymmetric structure of stoichiometric silicon nitride inhibits the realization of second-order nonlinear processes in this low-loss, complementary-metal-oxide-semiconductor fabrication-compatible platform. Nevertheless, linear electro-optic modul ...

Transient electronics have emerged as a new category of devices that can degrade after their functional lifetime, offering tremendous potential as disposable sensors, actuators, wearables, and implants. Additive manufacturing methods represent a promising ...

Implanted medical devices (IMDs) have been widely developed to support the monitoring and recording of biological data inside the body or brain. Wirelessly powered IMDs, a subset of implantable electronics, have been proposed to eliminate the limitations r ...

To cope with the challenging environment of the planned high luminosity upgrade of the Large Hadron Collider (HL-LHC), scheduled to start operation in 2029, CMS will replace its entire tracking system. The requirements for the tracker are largely determine ...

Magnonics is a research field that has gained an increasing interest in both the fundamental and applied sciences in recent years. This field aims to explore and functionalize collective spin excitations in magnetically ordered materials for modern informa ...

Radon is a naturally occurring radioactive gas that has the potential to accumulate in buildings and over time, causes lung cancer in humans. Present methods for radon measurements are disparate, which pose challenges to benchmark radon concentrations and ...

Vision systems built around conventional image sensors have to read, encode and transmit large quantities of pixel information, a majority of which is redundant. As a result, new computational imaging sensor architectures were developed to preprocess the r ...

Objective. Peripheral nerve interfaces have the potential to restore sensory, motor, and visceral functions. In particular, intraneural interfaces allow targeting deep neural structures with high selectivity, even if their performance strongly depends upon ...

In this thesis we explore the applications of projective geometry, a mathematical theory of the relation between 3D scenes and their 2D images, in modern learning-based computer vision systems. This is an interesting research question which contradicts the ...

The SwissSPAD2/3 camera family is based on quarter megapixel single-photon avalanche diode (SPAD) time gated imagers. The 16.38-µm low-noise pixels feature a single-bit memory and built-in all-solid-state nanosecond time gating without the need for externa ...

Machine learning and data processing algorithms have been thriving in finding ways of processing and classifying information by exploiting the hidden trends of large datasets. Although these emerging computational methods have become successful in today's ...

Deep learning models (DLM) are efficient replacements for computationally intensive optimization techniques. Musculoskeletal models (MSM) typically involve resource-intensive optimization processes for determining joint and muscle forces. Consequently, DLM ...

Polymerase chain reaction (PCR) has been the most significant driver in the field of nucleic acid testing (NAT) since its invention. Popularized as an abbreviation by the Covid-19 pandemic, PCR-based methods are the gold standard in the field of diagnostic ...

Machine learning (ML) enables artificial intelligent (AI) agents to learn autonomously from data obtained from their environment to perform tasks. Modern ML systems have proven to be extremely effective, reaching or even exceeding human intelligence. Altho ...

Depleted Monolithic Active Pixel Sensor (DMAPS) sensors developed in the Tower Semiconductor 180 nm CMOS imaging process have been designed in the context of the ATLAS ITk upgrade Phase-II at the HL-LHC and for future collider experiments. The "MALTA-Czoch ...

Side-channel disassembly attacks recover CPU instructions from power or electromagnetic side-channel traces measured during code execution. These attacks typically rely on physical access, proximity to the victim device, and high sampling rate measuring in ...

3D-Stacked CMOS SPAD Image Sensors: Technology and Applications

Chattez avec Graph Search

Direct laser writing of electronically conductive microstructures within soft hydrogel substrates

Towards microwave-to-optical quantum transduction with barium titanate/strontium titanate integrated photonics

Aggregating Spatial and Photometric Context for Photometric Stereo

Accelerator-driven Data Arrangement to Minimize Transformers Run-time on Multi-core Architectures

Electric-field poling of a silicon nitride microring resonator for linear electro-optic modulation

3D Printing of Customizable Transient Bioelectronics and Sensors

Integrated Wireless Power, Data Communication, and Thermal Sensing System for Autonomous Multisite Brain Implants

Evaluation of HPK n plus -p planar pixel sensors for the CMS Phase-2 upgrade

The 2024 Magnonics Roadmap

Performance evaluation of radon active sensors and passive dosimeters at low and high radon concentrations

Computational Imaging SPAD Cameras

Combining biophysical models and machine learning to optimize implant geometry and stimulation protocol for intraneural electrodes

Incorporating Projective Geometry into Deep Learning

SwissSPAD2/3: a family of natively digital, time gated SPAD cameras with continuous streaming at up to 100 kpfs and picosecond system-level synchronization for quantum imaging applications

2D Nanosystems: Applications of 2D Semiconductors for In-Memory Computing

Glenohumeral joint force prediction with deep learning

Electronic readout of DNA amplification in nanoliter chambers. Strategies towards highly parallel semiconductor-based nucleic acid amplification testing

Few-shot Learning for Efficient and Effective Machine Learning Model Adaptation

MALTA-Cz: a radiation hard full-size monolithic CMOS sensor with small electrodes on high-resistivity Czochralski substrate

Instruction-Level Power Side-Channel Leakage Evaluation of Soft-Core CPUs on Shared FPGAs