Microsoft Research Lab – Redmond
뉴스 & 기능
AI Frontiers: The future of scale with Ahmed Awadallah and Ashley Llorens
| Ahmed Awadallah 그리고 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.
Microsoft at ACM SIGCOMM 2023: Innovating the future of networking
| Ranveer Chandra, Eashan Gupta, Ilias Marinos, Anuj Kalia, Francis Y. Yan, Rohan Gandhi, Venkat Padmanabhan, Sreangsu Acharyya, Siva Kesava Reddy Kakarla, 그리고 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,…
뉴스에서 | 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…
Understanding social biases through the text-to-image generation lens
| Ranjita Naik 그리고 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.
Intern Insights: Dr. Josh Benaloh with Anunay Kulshrestha and Karan Newatia
| Josh Benaloh, Anunay Kulshrestha, 그리고 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.
Frontiers of multimodal learning: A responsible AI approach
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.
뉴스에서 | 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…
뉴스에서 | 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.