Microsoft Research Forum Highlights:
This article summarizes the key discussions and presentations from a recent Microsoft Research Forum episode. It highlights the focus on globally inclusive and equitable AI, with insights from Jacki O'Neill, Lab Director at Microsoft Research Africa. The discussions also covered new AI technologies such as AutoGen and MatterGen, and their applications in various industries including assistive technologies.

MatterSim: Deep-Learning for Material Properties:
This article introduces MatterSim, a deep-learning model developed by Microsoft Research, designed to simulate and predict material properties under a wide range of conditions. It discusses how MatterSim utilizes principles of quantum mechanics and synthetic data to enhance accuracy in predicting the properties of various materials, including metals and oxides, across different temperatures and pressures.

Generative AI in Physics Research:
This article discusses how researchers from MIT and the University of Basel are using generative AI models to map out phase diagrams and understand phase transitions in complex physical systems. The new machine-learning framework developed leverages physics-informed AI to predict thermodynamic properties without extensive labeled datasets, potentially leading to significant advances in the field of material science and quantum systems.