In a recent study published in Nature Communications, researchers created a memristor that uses a built-in oxygen gradient to ...

Why and how AI has profoundly impacted work, talent, and leadership, and why leadership is key to addressing this challenge ...

Offered by the Department of Physics at the Faculty of Science and Technology The course provides basic knowledge of biological methods in computer science, such as genetic algorithms, genetic ...

Abstract: Sparse signal recovery arises from many applications. However, deterministic algorithms often require significant time, especially for large-scale systems. Hence, stochastic algorithms like ...

The fundamental paradox of psychotherapy—and indeed of human development itself—concerns how sufficient continuity of self can be conserved across radical transformation. When does someone change ...

Efficient artificial intelligence (AI) hardware is crucial for resource-constrained applications such as healthcare and transportation, where it enhances performance, reduces costs, and supports ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...

Abstract: Bilevel optimization, where one optimization problem is inherently nested within another, has gained significant attention due to its extensive applications in machine learning, such as ...

The aim of the course is for the students to attain basic knowledge of new methods in computer science inspired by evolutionary processes in nature, such as genetic algorithms, genetic programming, ...