Shibl Mourad

Abstract The cycle of scientific discovery is frequently bottlenecked by the slow, manual creation of software to support computational experiments1. To address this, we present Empirical Research Assistance (ERA), an AI system that creates expert-level scientific software whose goal is to maximize a quality metric. The system uses a Large Language Model (LLM) and Tree Search (TS)2 to systematically improve the quality metric and intelligently navigate the large space of possible solutions.

AndroidEnv: The Android Learning Environment Abstract We introduce AndroidEnv, an open-source platform for Reinforcement Learning (RL) research built on top of the Android ecosystem. AndroidEnv allows RL agents to interact with a wide variety of apps and services commonly used by humans through a universal touchscreen interface. Since agents train on a realistic simulation of an Android device, they have the potential to be deployed on real devices.

People attend a vigil for victims of the mosque shooting in Quebec City Monday, January 30, 2017 in Montreal Ryan Remiorz / THE CANADIAN PRESS When we first arrived in Montreal in 1989, we were a Syrian family looking for a new home. The first Canadian we met was the immigration officer. The officer was warm, respectful and seemed genuinely happy that we would soon be sharing this country together.