Implementing innovative concepts in silicon
In-memory Computing – Fundamentals, Current Trends, and Future Directions.
On March 2, 2023 we have had a presentation of the eminent prof. Naresh Shanbhag of the University Illinois Urbana-Champaign, who is of stay at the IMSE
Behavioral Modelling of CMOS SPADs based on TCAD Simulations.
Juan M. López Martínez
January 24, 2023
High-speed neuromorphic computing, an increasingly closer reality.
Rafaella Fiorelli
Error correcting codes for hyper-speed memory and data storage.
IEEE Distinguished Lecturer Prof. Xinmiao Zhang, Dept. of Electrical & Computer Engineering, Ohio State University
The solar sensor project with Andalusian technology for satellites receives a subsidy from the program for Agrupaciones Empresariales Innovadoras (AEI) of the Ministerio de Industria, Comercio y Turismo, through Next Generation EU funds.
The 19 project partners from across Europe gathered in Arrasate-Mondragón (Spain) to officially kick-start NimbleAI, the 3-year and 10M € research project which will improve energy-efficiency and performance of next-generation neuromorphic chips that sustain event-based vision.
Band-Pass Sigma-Delta Modulation: The Path towards RF-to-Digital Conversion in Software-Defined Radio
J.M. de la Rosa
Journal Paper · Chips, vol. 2 no. 1, articles 44-69, 2023
MDPI ISSN: 2674-0729
abstract
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Ultra-High-Resistance Pseudo-Resistors with Small Variations in a Wide Symmetrical Input Voltage Swing
F. Karami-Horestani and J.M. de la Rosa
Journal Paper · IEEE Transactions on Circuits and Systems II: Express Briefs
IEEE ISSN: 1549-7747
abstract
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A self-powered asynchronous image sensor with independent in-pixel harvesting and sensing operations
R. Gomez-Merchan, J.A. Leñero-Bardallo and A. Rodríguez-Vázquez
Conference · IS&T International Symposium on Electronic Imaging 2023
abstract
CMOS Front End for Interfacing Spin-Hall Nano-Oscillators for Neuromorphic Computing in the GHz Range
R. Fiorelli, E. Peralias, R. Mendez-Romero, M. Rajabali, A. Kumar, M. Zahedinejad, J. Akerman, F. Moradi, T. Serrano-Gotarredona and B. Linares-Barranco
Journal Paper · Electronics, vol. 12, no. 1, article 230, 2023
MDPI ISSN: 2079-9292
abstract
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Our main area of specialization is the design of CMOS analog and mixed-signal integrated circuits and their use in different application contexts such as wireless communications, data conversion, smart imagers & vision sensors, biomedical devices, cybersecurity, neuromorphic computing and space technologies.
The IMSE-CNM staff consists of approximately one hundred people, including scientists and support personnel. IMSE-CNM employees are involved in advancing scientific knowledge, designing high level scientific-technical solutions and in technology transfer.