Jiang Bian discusses how generative AI transforms industries by bridging gaps between AI capabilities and sector needs. He will showcase domain-specific foundation models and versatile AI agents, setting new industry standards.
Tian Xie introduces MatterGen, a generative model that creates new inorganic materials based on a broad range of property conditions required by the application, aiming to shift the traditional paradigm of materials design with generative AI.
Daniela Massiceti delves into the transformative potential of multimodal models such as CLIP for assistive technologies. Specifically focusing on the blind/low-vision community, the talk explores the current distance from realizing this potential and the advancements needed to bridge this gap.
Jiang Bian discusses how generative AI transforms industries by bridging gaps between AI capabilities and sector needs. He will showcase domain-specific foundation models and versatile AI agents, setting new industry standards.
Microsoft researchers discuss the challenges and opportunities of making AI more inclusive and impactful for everyone—from data that represents a broader range of communities and cultures to novel use cases for AI that are globally relevant.
Daniela Massiceti delves into the transformative potential of multimodal models such as CLIP for assistive technologies. Specifically focusing on the blind/low-vision community, the talk explores the current distance from realizing this potential and the advancements needed to bridge this gap.
Jacki O'Neill discusses the importance of creating globally equitable generative AI. She addresses the technical and sociotechnical challenges that must be tackled to positively transform work futures worldwide.
Microsoft researchers discuss the challenges and opportunities of making AI more inclusive and impactful for everyone—from data that represents a broader range of communities and cultures to novel use cases for AI that are globally relevant.
Jacki O'Neill, Lab Director of Microsoft Research Africa, Nairobi, discusses the importance of creating globally equitable generative AI. She addresses the technical and sociotechnical challenges that must be tackled to positively transform work futures worldwide.
In this forum episode, researchers dive into the importance of globally inclusive and equitable AI, share updates on AutoGen and MatterGen, explore novel use cases for AI, and more.
A dataset of social artifacts from different Indian geographical subcultures. This repo hosts the code to run experiments on the DOSA dataset.
An artificial intelligence (AI) model developed by Microsoft can accurately forecast weather and air pollution for the whole world — and it does it in less than a minute. The model, called Aurora, is one of a slew of AI weather-forecasting tools being developed by…
