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Azure AI Foundry: Empowering Scientific Discovery with AI

Naomi Moneypenny's avatar
Jan 21, 2025

Onboarding Cutting-Edge Models from Microsoft Research: Aurora, MatterSim, and TamGen

In an era where technology continuously reshapes the boundaries of human capabilities, Azure AI Foundry enables you with the forefront of innovation, particularly in the realm of scientific discovery.

As part of our mission to empower developers everywhere with AI, we are announcing the availability of three groundbreaking models from Microsoft Research: Aurora, MatterSim, and TamGen. These models are available on Azure AI Foundry starting January 20, 2025.

Model Spotlight: Aurora

Aurora is a cutting-edge foundation model that offers a new approach to weather forecasting to transform our ability to predict and mitigate the impacts of extreme events, air pollution, and the changing climate.

In under a minute, Aurora produces 5-day global air pollution predictions and 10-day high-resolution weather forecasts that outperform state-of-the-art classical simulation tools and the best specialized deep learning models. By onboarding Aurora into Azure AI Foundry, we are equipping scientists with a powerful tool to accelerate their research and make groundbreaking discoveries.

Explore Aurora on Azure AI Foundry

 

Model Spotlight: MatterSim 

Microsoft Research developed MatterSim, a deep-learning model for accurate and efficient materials simulation and property prediction over a broad range of elements, temperatures, and pressures to enable the in silico materials design. MatterSim employs deep learning to understand atomic interactions from the very fundamental principles of quantum mechanics, across a comprehensive spectrum of elements and conditions—from 0 to 5,000 Kelvin (K), and from standard atmospheric pressure to 10,000,000 atmospheres. In our experiment, MatterSim efficiently handles simulations for a variety of materials, including metals, oxides, sulfides, halides, and their various states such as crystals, amorphous solids, and liquids. Additionally, it offers customization options for intricate prediction tasks by incorporating user-provided data.

Explore MatterSim on Azure AI Foundry

Model Spotlight: TamGen

TamGen, short for “target-aware molecule generation,” is a state-of-the-art AI framework designed to accelerate drug design by overcoming the limitations of traditional methods. Developed by Microsoft Research, TamGen leverages advanced AI techniques to predict and generate novel drug molecules with significantly improved binding affinities.

In collaboration with GHDDI, TamGen has successfully generated small molecule inhibitors for Mycobacterium tuberculosis. Notably, one molecule was 125 times more effective at inhibiting the TB Clp protease compared to the starting molecule. TamGen has also been used to design novel compounds targeting SARS-CoV-2. These compounds feature unique structures compared to existing ones and exhibit an eightfold improvement in bioactivity.

Explore TamGen on Azure AI Foundry

Empowering Researchers with Advanced AI Tools

By providing researchers and developers with access to these advanced models, we are enabling exploration of new frontiers, generation of novel insights, and accelerating the pace of discovery.

We encourage you to explore these powerful new models and integrate them into your work. Discover the full potential of Azure AI Foundry by visiting Azure AI Foundry.

Together, we can forge new possibilities and pave the way for a brighter, more innovative future.

Are you ready to create the future? 

 

Updated Jan 22, 2025
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