In the news | Microsoft Source
AI ‘for all’: How access to new models is advancing academic research, from astronomy to education
In early 2023, Professor Alice Oh and her colleagues at the Korea Advanced Institute of Science and Technology (KAIST) realized they needed to address the quickly growing interest in OpenAI ChatGPT among KAIST’s students. ChatGPT – a tool developed by…
Scaling early detection of esophageal cancer with AI
| Anton Schwaighofer and Javier Alvarez-Valle
Microsoft Research and Cyted have collaborated to build novel AI models (opens in new tab) to scale the early detection of esophageal cancer. The AI-supported methods demonstrated the same diagnostic performance as the existing manual workflow, potentially reducing the pathologist's…
Madeleine Daepp talks about the potential impacts and challenges of generative AI in a year with over 70 major global elections, and AI and Society Fellow Vanessa Gathecha discusses her work on disinformation in Kenya and Sub-Saharan Africa.
Alessandro Sordoni shares recent efforts on building and re-using large collections of expert language models to improve zero-shot and few-shot generalization to unseen tasks.
Naoto Usuyama proposes GigaPath, a novel approach for training large vision transformers for gigapixel pathology images, utilizing a diverse real-world cancer patient dataset, with the goal of laying a foundation for cancer pathology AI.
“GenAI can potentially unlock a slew of high-value applications, from improving patient care to accelerating drug development and clinical discovery, to the ultimate dream of precision health: predicting medical events.” – Hoifung Poon, General Manager, Microsoft Research Health Futures Multimodal…
Lev Tankelevitch explores how metacognition—the psychological capacity to monitor and regulate one's cognitive processes—provides a valuable perspective for comprehending and addressing the usability challenges of generative AI systems around prompting, assessing and relying on outputs, and workflow optimization.
What’s new in AutoGen?
Chi Wang discusses the latest updates on AutoGen – the multi-agent framework for next generation AI applications. This includes milestones achieved, community feedback, new exciting features, and ongoing research and challenges.
Microsoft researchers share their advancements in the fields of foundations models, drug discovery, material design and machine learning, highlighting how deep learning is transforming the natural sciences.