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In a first-of-its-kind study, Microsoft has quantified the full environmental impact of different datacenter cooling methods across their entire life cycles. The findings show that advanced cooling technologies, such as cold plates, can reduce energy demand by 15% and lower water consumption by up to 50%. Learn how these insights can shape the future of more efficient, sustainable datacenter operations: https://msft.it/6009SrJal
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I’m delighted to announce that our team's research has been published in Nature. This study assesses the carbon, water, and energy impacts of various cooling techniques across datacenters' entire life cycles and is a testament to our commitment to sustainability and innovation. By sharing our findings and tools with the industry, we are empowering others to make informed decisions and drive sustainability in datacenter operations. I want to say thank you to everyone involved in this groundbreaking work. Together, we are leading the sustainable datacenter design and the future of cooling technologies. Read more about our study and its impact: https://lnkd.in/gfQV4XGD #Microsoft #sustainability #msftsustainability
In Episode 4 of “The AI Revolution in Medicine, Revisited,” guests Laura Adams, Vardit Ravitsky, and Dr. Roxana Daneshjou explore how to responsibly implement AI in medicine, from governance and fairness to reshaping patient relationships: https://msft.it/6044SR2ia
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Partner Research Manager @ Microsoft AI Frontiers | working on innovations in foundation models (Orca, Phi-3) and learning agent platforms (AutoGen)
Introducing Phi-4-reasoning, adding reasoning models to the Phi family. The model is trained with both supervised finetuning (using a carefully curated dataset of reasoning demonstration) and Reinforcement Learning. 📌Competitive results on reasoning benchmarks with much larger top-tier models up to DeepSeek R1 📌 Strong performance on new tests released after data collection (AIME 2025, HMMT 2025) 📌Reasoning transfers/generalizes well to new domains even with only SFT (e.g. k-SAT, Mae Solving, Calendar Planning, etc.) 📌Retains and often significantly improves general-purpose capabilities (e.g. instruction following) Models available on Azure Foundry: https://lnkd.in/gRertUdw And HuggingFace: https://lnkd.in/g_8ncNxq and https://lnkd.in/gSnXfrvx In addition to the models, we are also very excited to share a very detailed technical report with insights on model training and evaluation here: https://lnkd.in/geuBAiir Still have a lot to improve especially with context length, coding and tools. Hope you find the models useful! A big thanks to the amazing team and to all our partners.
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Happy Birthday, Phi! To celebrate, we are introducing three new models in the Phi-4 reasoning family on Azure AI Foundry: 1️⃣Phi-4-reasoning (14B, SFT on curated reasoning demos) 2️⃣Phi-4-reasoning-plus (14B, SFT + RL, ~1.5x inference-time tokens) 3️⃣Phi-4-mini-reasoning (3.8B, distilled + SFT with DeepSeek-R1-generated math problems) These models leverage distillation, SFT, RL, and synthetic data pipelines to achieve frontier-level capability in compact form. They are optimized for multi-step reasoning, mathematical problem solving, and internal reflection—tasks traditionally dominated by much larger frontier models. News here: https://lnkd.in/gC_56Dfy
The AI landscape is shifting fast, and finding value now is more critical than ever. At MIT Technology Review's #EmTechAI on May 7, Peter Lee will be sharing insights on the future of AI and how it will reshape industries. Register here: https://msft.it/6040SOtMy
Microsoft is proud to be a sponsor of the ACM Computer Human Interaction 2025 conference and celebrate the exceptional work being recognized with Best Paper Awards + Honorable Mentions. Congratulations to the authors for their groundbreaking contributions. Explore 30+ accepted papers and sessions: https://msft.it/6049SzWHc
Microsoft is proud to be a sponsor of ICLR 2025 in Singapore. The conference features cutting-edge research on all aspects of deep learning used in artificial intelligence, statistics, and data science. Check out our 35 accepted papers: https://msft.it/6047SJr41
Generative AI is reshaping the healthcare experience for people. In Ep. 3 of “The AI Revolution in Medicine, Revisited,” guests Dave deBronkart & Christina Farr talk patient empowerment & consumer-health opportunities in the generative AI era. https://msft.it/6047SJTrR