Youssef El Bouhassani (HvA): Modular content as a necessary condition for unlocking the potential of algorithms in personalised education
The promise of AI to reduce the workload of teachers and create equal opportunities for students is not here yet. The methodology and tools to create modular content, allows both teachers and algorithms to provide personalized learning. The objective is allowing students to learn in a personalized and engaging way. By making use of an online library of modular content, educators will be able to create courses in a matter of clicks and leverage the power of algorithms to provide world class and personalised education.
Matteo Mazzanti (UvA): Novel quantum logic gates architecture with trapped ions and optical tweezers There are complex problems that classical computers struggle to solve. For example, route optimization, drug design, and material discovery all require extraordinary computational power. Quantum computers are central in the solution to this problem. However, today’s quantum computers are difficult to […]
Pepijn van Rutten and Edcel Salumbides (VU): Respira: a laughing gas breath sensor to reduce accidents on the road Traffic accidents caused by driving under the influence of laughing gas have increased more than ten-fold in the past few years. This leads to more than 100 severe injuries and sadly, more than 20 deaths in […]
Lavinia Bodale (VU): SightShare Imagine you’re missing out on the friendship and on the life experiences that make game nights unforgettable. SightShare is a game changing device that breaks barriers, enabling visually impaired and blind individuals to participate fully in card and board games. Thanks to the help of machine learning, the device recognizes different […]