Exploring how context, culture, and character matter in avatar research
| Marta Wilczkowiak (SHE/HER), Sean Rintel, and Mar Gonzalez-Franco
As avatar use expands in digital spaces, advances are required to better represent all people. Discover how research into the varying perceptions of facial animation glitches in low versus high realism scenarios supports this goal.
In the news | Microsoft Unlocked
This is what creativity feels like
In the past year, JVKE has started a new chapter on his journey: an orchestral journey for “golden hour”. He used Microsoft Research’s AI-powered Project Muzic for tools and inspiration to bring the experience to life.
编者按：近日，微软研究院上线了面向全球研究界的全新线上系列活动 Microsoft Research Forum，旨在共同探讨人工智能时代的最新研究进展、大胆新颖的想法以及全球研究界关注的重要议题。来自微软研究院全球各地的研究人员将分享他们的研究洞见，并与大家进行在线讨论，希望碰撞出更多新的思想火花。 科学研究的突破正在以前所未有的速度影响着现实世界。人工智能的最新研究发展正在重塑人们的生活、工作...
AI助力M-OFDFT实现兼具精度与效率的电子结构方法
作者：科学智能中心 编者按：为了使电子结构方法突破当前广泛应用的密度泛函理论（KSDFT）所能求解的分子体系规模，微软研究院科学智能中心的研究员们基于人工智能技术和无轨道密度泛函理论（OFDFT）开发了一种新的电子结构计算框架 M-OFDFT。这一框架不仅保持了与 KSDFT 相当的计算精度，而且在计算效率上实现了显著提升，并展现了优异的外推性能，为分子科学研究中诸多计算方法的基础——电子结构方法...
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.