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: Addison Davis & Annabella Irani Fey Mentor: Katherine Ferris. Katherine is a doctoral candidate in the Department of Oncology at the University of Oxford. Abstract Cancer remains one of the most widespread diseases globally, driven by genetic mutations that disrupt normal cell regulation, leading to uncontrolled proliferation and, in some cases, metastasis. While the immune system plays a crucial role in detecting and eliminating cancerous cells, tumors have evolved