Reservoir computing is a machine learning paradigm that exploits the transient dynamics of high-dimensional nonlinear systems. Although it was originally inspired by the mammalian brain and widely ...

We are a research-led school with a reputation for excellent teaching and courses with real-world impact. We are based across four sites, comprising more than 2000 students and 190 specialist staff ...

Materials of the paper F. Wilhelmi, S. Szott, K. Kosek-Szott and B. Bellalta, "Machine Learning and Wi-Fi: Unveiling the Path Toward AI/ML-Native IEEE 802.11 Networks ...

In today’s data-driven world, data analysis plays a crucial role in business intelligence, scientific research, and technology development. Two of the most widely adopted tools for data analysis are ...

Data science brings together computational and statistical skills for data-driven problem solving. This programme will equip students with the analytical tools to design sophisticated technical ...

This teaching package contains modular contents for the introduction of the fundamentals of Neural Networks. The package consists of a series of MATLAB Live Scripts with complementary PowerPoint ...

Prepared by: Lalit Pandurang Patil, PhD scholar, Plant Pathology, Indian Agricultural Research Institute New Delhi Learning MATLAB from Scratch: A Beginner’s Guide for Zero Coders MATLAB is ...

Plastic deformation of crystalline materials is a problem of many length-scales. From the atomic level of dislocation core to the meso-scale collective dislocation dynamics, and ultimately to the ...

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