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In the news | BigTechWire
Microsoft With Autogen, Microsoft Simplifies Putting Large Language Models to Real Work
In the ever-expanding world of artificial intelligence (AI), Large Language Models (LLMs) like GPT-4 have shown enormous potential. However, the challenge lies in efficiently implementing these LLMs in complex, real-world applications. Microsoft Research’s Autogen framework aims to change that, making…
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, and 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,…
AI Frontiers: The future of scale with Ahmed Awadallah and Ashley Llorens
| Ahmed Awadallah and 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.
In the news | 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 and 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, and 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.
In the news | 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…
In the news | MIT News
A system to keep cloud-based gamers in sync
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…