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Dongqi Han: An interdisciplinary odyssey with AI and other fields
Deciding between fundamental and applied research is a dilemma that confronts many in the scientific community. Dongqi Han, on the cusp of graduation, ambitiously aspired to bridge this divide by...
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Guarding human health: AI empowers innovative applications in healthcare
“If life is a marathon, then health is the key to its duration.” Health is not only the foundation of happiness and societal progress but also a pivotal aspect of the intelligent era. AI’s integration...
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Podcast: Evaluating LLMs using novel approaches. With Dr. Sunayana Sitaram
Episode 015 | May 21, 2024 [Music] Sunayana Sitaram: Our ultimate goal is to build evaluation systems and also other kinds of systems in general where humans and LLMs can work together. We’re really...
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Keynote: Building Globally Equitable AI
Presented by Jacki O’Neill at Microsoft Research Forum, June 2024 “It’s only by working together can we solve the challenges we face with generative AI at scale and, in doing so, capitalize on the...
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Panel Discussion: Generative AI for Global Impact: Challenges and Opportunities
Hosted by Jacki O’Neill, with Sunayana Sitaram, Daniela Massiceti, and Tanuja Ganu at Microsoft Research Forum, June 2024 “One of the solutions that we’ve been using is to actually design with ‘human...
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Insights into the Challenges and Opportunities of Large Multi-Modal Models...
Presented by Daniela Massiceti at Microsoft Research Forum, June 2024 “Today’s AI models hold incredible potential for assisting the blind community—from text recognition to object identification to...
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Driving Industry Evolution: Exploring the Impact of Generative AI on Sector...
Presented by Jiang Bian at Microsoft Research Forum, June 2024 There is “a substantial demand for advanced generative AI tailored to enhance core business operations. However, in our dialogues with...
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MatterGen: A Generative Model for Materials Design
Presented by Tian Xie at Microsoft Research Forum, June 2024 “Materials design is the cornerstone of modern technology. Many of the challenges our society is facing today are bottlenecked by finding a...
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AutoGen Update: Complex Tasks and Agents
Presented by Adam Fourney at Microsoft Research Forum, June 2024 “Agents are a very, very powerful abstraction over things like task decomposition, specialization, tool use, etc. Really, you think...
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MG-TSD: Advancing time series analysis with multi-granularity guided...
Author: Chang Xu Diffusion probabilistic models have the capacity to generate high-fidelity samples for generative time series forecasting. However, they also present issues of instability due to...
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Keynote: Phi-3-Vision: A highly capable and “small” language vision model
Presented by Jianfeng Gao at Microsoft Research Forum, September 2024 “Microsoft’s mission is to empower every person and every organization on the planet to achieve more. If we want generative AI to...
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Panel Discussion: Beyond Language: The future of multimodal models in...
Hosted by John Langford, with Katja Hofmann, Jianwei Yang, and Hoifung Poon at Microsoft Research Forum, September 2024 “I believe that starting to understand what that new human-AI collaboration...
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Analog optical computing for sustainable AI and beyond
Presented by Francesca Parmigiani and Jiaqi Chu at Microsoft Research Forum, September 2024 “I have been working with a fantastic team to build a new kind of computer … it uses physics and physical...
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Direct Nash Optimization: Teaching language models to self-improve with...
Presented by Corby Rosset at Microsoft Research Forum, September 2024 “The traditional way to fine-tune an LLM for post-training … basically tells the model to emulate good behaviors, but it does not...
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Project Aurora: The first large-scale foundation model of the atmosphere
Presented by Megan Stanley at Microsoft Research Forum, September 2024 “If we look at Aurora’s ability to predict pollutants such as nitrogen dioxide that are strongly related to emissions for human...
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A generative model of biology for in-silico experimentation and discovery
Presented by Kevin Yang at Microsoft Research Forum, September 2024 “EvoDiff is a discrete diffusion model trained on evolutionary-scale protein sequence data. By evolutionary scale, we mean that we...
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Fostering appropriate reliance on AI
Presented by Mihaela Vorvoreanu at Microsoft Research Forum, September 2024 “This is where I think it is our responsibility as people working in UX disciplines—as people researching UX and...
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VALL-E 2: Enhancing the robustness and naturalness of text-to-speech models
Author: Shujie Liu In recent years, the rapid advancement of AI has continually expanded the capabilities of Text-to-Speech (TTS) technology. Ongoing optimizations and innovations in TTS have enriched...
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nnScaler: Exploring a new paradigm for parallel execution in deep learning
Author: Youshan Miao Today, deep learning has permeated our daily lives. As the size of models continues to grow, training these models on massive GPU accelerators has become increasingly...
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ProbTS: Unified benchmarking for time-series forecasting
Author: Machine Learning Group Time-series forecasting is crucial across various industries, including health, energy, commerce, climate, etc. Accurate forecasts over different prediction horizons are...
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