Authors: Sean Akkulugari, Janhavi Jere, Vaidehi Jere, Anna Lowry, & Angelina Lu Mentor: Isaac J. Parker. Isaac is currently a doctoral candidate in the Department of Engineering at the University of Cambridge with research specialization in machine learning and computational chemistry. Abstract Cybersecurity is the practice of protecting digital and information systems from attack. In an increasingly digitalized world there are more threats than ever before. Cyberattacks can

Authors: Janhavi Jere & Vaidehi Jere Mentor: Eszter Varga-Umbrich. Eszter is currently a doctoral candidate in the Department of Engineering at the University of Cambridge. Abstract As artificial intelligence (AI) systems scale in size and complexity, they sometimes begin to display unexpected and unprogrammed capabilities that arise abruptly. These are known as emergent abilities—behaviors not explicitly coded or anticipated during training. Alongside these capabilities, new

Authors: Soren Comer & Simran Katari Mentor: Markus Baumgartner. Markus is a doctoral candidate in engineering at the University of Oxford. Abstract The ability to construct supertall skyscrapers has revolutionized urbanization. Creating “mile-high” buildings poses extreme engineering challenges and requires substantial technological advancements. This review paper investigates the challenges and recent solutions developed for creating tall structures safely, usefully, and ef

Authors: Natasha Nejat, Aaron Nguyen, Aria Ramsinghani, & Arjun Ravichandran Mentor: Kyle Fogarty. Kyle is a doctoral candidate in the Department of Engineering at the University of Cambridge with research specialization in computer graphics, computer vision, and machine learning. Abstract Vision-Language-Action (VLA) models represent a significant advancement in robotics. By integrating visual perception, natural language understanding, and action execution to enable robots