| Kim Laine, Shrey Jain, Betül Durak, Radames Cruz Moreno, and Robert Sim
Microsoft researchers are proposing a new way to ensure greater trust and accountability in email, texts, direct messages on social platforms, even phone calls, to help mitigate sophisticated threats from AI-related scams and fraud.
编者按:他,刚入职微软亚洲研究院一年,却有着丰富的学术合作经验;刚刚博士毕业,就有多篇论文被业内顶会收录并获奖;能够长期投入到一项研究课题中,并持续跟进三、四年;选定一个研究领域,层层递进,展开了多方面的研究;热衷于科学创新,坚持长期主义的研究理念。他是来自韩国的微软亚洲研究院研究员黄昶互(Changho Hwang)。 “在成为微软亚洲研究院的实习生之前,我对研究院的了解就是 ResNet(Re...
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 | 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 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 | 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…
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.
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.