| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Todri-Sanial, Aida
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (14/14 displayed)
- 2023Non-volatile resistive switching mechanism in single-layer MoS2 memristorscitations
- 2023Non-volatile resistive switching mechanism in single-layer MoS2 memristors:insights from ab initio modelling of Au and MoS2 interfacescitations
- 2023Roadmap for Unconventional Computing with Nanotechnology
- 2022First-Principles Simulations of Vacancies and Grain Boundaries in Monolayer MoS2-Au Interfaces for Unconventional Computing Paradigm
- 2020Stretchable Strain Sensors for Human Movement Monitoringcitations
- 2019Investigation of Pt-Salt-Doped-Standalone-Multiwall Carbon Nanotubes for On-Chip Interconnect Applicationscitations
- 2019Investigation of Pt-Salt-Doped-Standalone- Multiwall Carbon Nanotubes for On-Chip Interconnect Applicationscitations
- 2019Microelectronics Department Half-Day Seminar
- 2018Atomistic- to Circuit-Level Modeling of Doped SWCNT for On-Chip Interconnectscitations
- 2017Design methodology for 3D power delivery networks
- 2015Design Methodology for 3D Power Delivery Networks
- 2014Globally Constrained Locally Optimized 3-D Power Delivery Networkscitations
- 2014Design Space Exploration Of Emerging Technologies For Energy Efficiency
- 2014Habilitation - Design Space Exploration Of Emerging Technologies For Energy Efficiency
Places of action
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article
Roadmap for Unconventional Computing with Nanotechnology
Abstract
In the Beyond Moore Law era, with increasing edge intelligence, domain-specific computing embracing unconventional approaches will become increasingly prevalent. At the same time, the adoption of a wide variety of nanotechnologies will offer benefits in energy cost, computational speed, reduced footprint, cyber-resilience and processing prowess. The time is ripe to lay out a roadmap for unconventional computing with nanotechnologies to guide future research and this collection aims to fulfill that need. The authors provide a comprehensive roadmap for neuromorphic computing with electron spins, memristive devices, two-dimensional nanomaterials, nanomagnets and assorted dynamical systems. They also address other paradigms such as Ising machines, Bayesian inference engines, probabilistic computing with p-bits, processing in memory, quantum memories and algorithms, computing with skyrmions and spin waves, and brain inspired computing for incremental learning and solving problems in severely resource constrained environments. All of these approaches have advantages over conventional Boolean computing predicated on the von-Neumann architecture. With the computational need for artificial intelligence growing at a rate 50x faster than Moore law for electronics, more unconventional approaches to computing and signal processing will appear on the horizon and this roadmap will aid in identifying future needs and challenges.