News : Technological challenges
January 01 2023
Coupling of advanced characterization techniques to study 2D material growth and integration
Two-dimensional (2D) materials are defined as crystalline solids consisting of a single layer of atoms, making their properties remarkable. Compared to their massive form, they can present outstanding semiconducting characteristics that can be exploited for many applications (CMOS, memories, photonics, photovoltaics, etc.). However, their integration into components via standard microelectronics processes remains a challenge and […] >>
January 01 2023
Cryopenic control electronics dedicated to the control of a matrix of qubits
The recent improvements of quantum bits (qubit) based on electron spins pave the way towards their massive integration into the possible quantum processor of the future quantum computer. The individual biasing, manipulation and reading of particular qubits of the matrix is a key point that forges strong links between physicists and electronics engineers. More specifically, […] >>
January 01 2023
Experimental analysis of a new perovskite material for medical radiography: structural properties, doping, and electro-optical performances
X-rays is the most widely used medical imaging modality for the detection of pathologies, the monitoring of their evolution and during certain surgical procedures. The objective of this thesis is to study a new semiconductor material based on perovskites for direct X-ray detection. A thesis is running since October 2022 at CEA on the development […] >>
January 01 2023
Energy efficiency and link security optimization by joint antenna processing and envelope reduction
The proposed research work is twofold: improving the energy efficiency of 5G/6G millimeter radio access network and securing radio links. Mixed solutions at the frontier between the definition of radio head architecture and signal processing algorithms will be proposed and assessed according to two criteria: the energy efficiency of the proposed solutions and the ability […] >>
January 01 2023
Neural Architecture Search for Binary Neural Networks on In-Memory Computing
Edge Artificial Intelligence and low-level Computer Vision is now massively deployed at the near-sensor level in order to further extend the capabilities of smart embedded imaging systems. This near-sensor intelligence typically allows 1000x gains by capping data transmission, thus improving energy efficiency. The In-Memory Computing (IMC) paradigm offers the opportunity to optimize processing architectures thanks […] >>