Leveraging the vast potential of satellites and space-based infrastructure to bring seamless and ubiquitous connectivity to even the most remote areas. Large-scale deployments of low Earth orbit satellites collect massive amount of Earth imageries and sensor data, but it is…
Driving advancements in ultra-low-power connectivity, enabling devices to operate efficiently and sustainably, even in resource-constrained environments. Project Echo is focused on developing ultra-low-power satellite communication to reliably connect devices in resource constrained environments. We believe that these new wireless communication…
In the news | Nature
Celeste Biever/Nature published a feature and an editorial (“ChatGPT is a black box: how AI research can break it open”) about the various ways scientists and researchers are evaluating the capabilities of LLMs like GPT-4, including quotes from Sebastien Bubeck.…
In the news | GeekWire
Plastic trash is everywhere in the environment. Bottles made from fossil fuels litter the side of the road, screw caps pepper the beaches, bags waft down the street. So the notion of a plastic made from algae that biodegrades in nature…
In the news | ICML 2023
A latent state can enable vastly better planning, exploration, and credit assignment by keeping task-relevant information while discarding distractions and irrelevant details. For example, in video games, there is a game-engine state which has all relevant information for the underlying…
| Kate Forster
Microsoft Research is proud to be a sponsor of ICML 2023! From audio classification to privacy estimation and more, explore conference highlights in our latest blog post.
编者按:大型语言模型(Large language models, LLMs)因其在学术界和工业界展现出前所未有的性能而备受青睐。随着 LLMs 在研究和实际应用中被广泛使用,对其进行有效评测变得愈发重要。近期已有多篇论文围绕大模型的评测进行研究,但尚未有文章对评测的方法、数据、挑战等进行完整的梳理。日前,微软亚洲研究院的研究员们参与完成了介绍大模型评测领域的第一篇综述文章《A Survey on...
| Gretchen Huizinga and Haiyan Zhang
For over a decade, Xbox has been leveraging AI to elevate gaming. Haiyan Zhang, GM of Gaming AI, explores the collaborations behind the work and the potential for generative AI to support better experiences for both players and game creators.
编者按:现实世界中,许多问题和任务都是由多个参与者交互进行的,所以要想使用人工智能技术解决真实世界的问题,就需要更好地模拟这种复杂的环境,而这正是多智能体强化学习(MARL)的强项。早在2020年,微软亚洲研究院基于多智能体强化学习,推出了面向多行业横截面上的多智能体资源调度平台 MARO。 随着研究的深入,研究员们发现互动式的学习环境和测试平台对多智能体强化学习的发展至关重要。为此,近期微软亚洲...