Outputs (18)

Logical circuits in colloids (2024)
Journal Article

Colloid-based computing devices offer remarkable fault tolerance and adaptability to varying environmental conditions due to their amorphous structure. An intriguing observation is that a colloidal suspension of ZnO nanoparticles in dimethylsulfoxide... Read More about Logical circuits in colloids.

Vulnerability detection through machine learning-based fuzzing: A systematic review (2024)
Journal Article

Modern software and networks underpin our digital society, yet the rapid growth of vulnerabilities that are uncovered within these threaten our cyber security posture. Addressing these issues at scale requires automated proactive approaches that can... Read More about Vulnerability detection through machine learning-based fuzzing: A systematic review.

Outline of an evolutionary morphology generator towards the modular design of a biohybrid catheter (2024)
Journal Article

Biohybrid machines (BHMs) are an amalgam of actuators composed of living cells with synthetic materials. They are engineered in order to improve autonomy, adaptability and energy efficiency beyond what conventional robots can offer. However, designin... Read More about Outline of an evolutionary morphology generator towards the modular design of a biohybrid catheter.

Incremental growth on Compositional Pattern Producing Networks based optimization of biohybrid actuators (2024)
Presentation / Conference Contribution

One of the training methods of Artificial Neural Networks is Neuroevolution (NE) or the application of Evolutionary Optimization on the architecture and weights of networks to fit the target behaviour. In order to provide competitive results, three k... Read More about Incremental growth on Compositional Pattern Producing Networks based optimization of biohybrid actuators.

Chemically-inspired memristor-based neuron-like oscillating circuit (2022)
Presentation / Conference Contribution

There is a constant push for ever increasing performance in traditional computing systems, leading to high power consumption and, in the end, to the incapacity of conventional electronics to handle heavy computing tasks, which usually require learnin... Read More about Chemically-inspired memristor-based neuron-like oscillating circuit.

Wave cellular automata for computing applications (2022)
Presentation / Conference Contribution

There is a continuous urge for higher efficiency in conventional computing systems, driven by an ever-growing demand for these systems' complexity to be able to match the one of convoluted and challenging problems. However, this type of problems has... Read More about Wave cellular automata for computing applications.

Unconventional logic on unipolar CBRAM based oscillators (2022)
Presentation / Conference Contribution

Plenty of unconventional computing techniques aim to compete with, if not outperform, traditional computers in solving high-complexity problems. The classical von Neumann computing architecture depends on centralized and sequential data processing, w... Read More about Unconventional logic on unipolar CBRAM based oscillators.

Material design strategies for emulating neuromorphic functionalities with resistive switching memories (2022)
Journal Article

Nowadays, the huge power consumption and the inability of the conventional circuits to deal with real-time classification tasks have necessitated the devising of new electronic devices with inherent neuromorphic functionalities. Resistive switching m... Read More about Material design strategies for emulating neuromorphic functionalities with resistive switching memories.