Microsoft Research Lab – Redmond
新闻与深度文章
| Ahmed Awadallah 和 Ashley Llorens
What’s the driving force behind AI’s recent, rapid progress? Research manager Ahmed Awadallah shares his insights on this, the two-stage approach to training large-scale models, and the need for better model evaluation in this episode of the #MSRPodcast.
| Ranveer Chandra, Eashan Gupta, Ilias Marinos, Anuj Kalia, Francis Y. Yan, Rohan Gandhi, Venkat Padmanabhan, Sreangsu Acharyya, Siva Kesava Reddy Kakarla, 和 Dave Maltz
Editor’s note, Sept. 19, 2023 – The number of papers accepted at SIGCOMM was updated to correct a factual error. Modern applications heavily rely on robust network infrastructure, requiring continuous innovation. In this evolving landscape, Microsoft is at the forefront,…
新闻报道 | VentureBeat
Meet Phi-1.5, the new language model that could make training AI radically cheaper and faster
By generating curated, high quality, synthetic data using existing LLMs (in this case, OpenAI’s ChatGPT) and training a new model on this, the researchers are able to achieve results comparable to leading LLMs at a fraction of the cost and…
| Ranjita Naik 和 Besmira Nushi
Gender, race, and age disparities in AI-generated images persist. This AIES 2023 study on text-to-image models shows that even basic prompts can lead to underrepresentation, calling for responsible bias mitigation strategies.
| Josh Benaloh, Anunay Kulshrestha, 和 Karan Newatia
Every year, interns help advance research at Microsoft. In “Intern Insights,” PhD students Anunay Kulshrestha and Karan Newatia talk with cryptographer Josh Benaloh about working on the verifiable election technology ElectionGuard.
New evaluation methods and a commitment to continual improvement are musts if we’re to build multimodal AI systems that advance human goals. Learn about cutting-edge research into the responsible development and use of multimodal AI at Microsoft.
新闻报道 | TechTimes
MIT, Microsoft Introduce ‘Ekho’ System to Sync Cloud-Based Games
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…
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…
新闻报道 | ScienceDaily
A system to keep cloud-based gamers in sync
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.