In the news | TechTimes
The Massachusetts Institute of Technology (MIT) and Microsoft Research have collaboratively developed a novel system called "Ekho" to tackle synchronization challenges in cloud gaming and broader networking scenarios. According to MIT News, the system utilizes inaudible white noise sequences to synchronize audio and video…
| Ashley Llorens and Sriram Rajamani
In this episode of the Microsoft Research Podcast, Managing Director of Microsoft Research India Sriram Rajamani discusses how generative AI is impacting the lab’s approach to research and how the country’s many languages can help advance conversational systems.
In the news | New Atlas
Researchers have developed a new cloud gaming system that uses low-level white noise to accurately synchronize separated audio and video streams. The unique approach let gamers see and hear things at the right time, even with poor microphone quality or…
In the news | ScienceDaily
A new technique can synchronize media streams from different networks to multiple devices with less than 10 milliseconds of delay. The technique was demonstrated on cloud gaming, but could also be applied in AR/VR applications.
In the news | MIT News
By synchronizing media streams transmitted from the cloud to two devices, researchers could improve cloud gaming and AR/VR applications. Cloud gaming, which involves playing a video game remotely from the cloud, witnessed unprecedented growth during the lockdowns and gaming hardware…
In this issue: An illusion of predictability in scientific results; Kathleen Sullivan named to Insider’s 30 under 40 in healthcare list; FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations.
A new quartet of AI compilers: Rammer, Roller, Welder, and Grinder, tackle a range of compiler optimization challenges based on the same tile abstraction, providing a comprehensive solution to connect AI models with hardware accelerators.
作者:张晗 桂晓凡 郑顺 编者按:天下苦锂电池寿命久矣,时闻“开车出,推车回”,又闻“充电两小时,待机两分钟”,亦闻“气温骤降,请注意电池保暖”……随着以锂离子电池为动力源的产品,如手机、电脑、新能源汽车等,逐步成为人们生活的必需品,关于电池寿命的碎碎念也越来越多。电池性能预测也成为了产业人工智能研究的重要课题之一。 为了更好地分析电池性能,预测电池使用寿命,微软亚洲研究院开发并开源了一站式机器学...
| Rodrigo Fonseca, Pedro Las-Casas, Alok Kumbhare, and Ricardo Bianchini
Cloud Intelligence/AIOps research from Microsoft could help organizations autonomously manage the entire cloud platform. Find out how.