Clik here to view.
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...
View ArticleClik here to view.
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...
View ArticleClik here to view.
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...
View ArticleClik here to view.
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...
View ArticleClik here to view.
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...
View ArticleClik here to view.
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...
View ArticleClik here to view.
OmniParser for pure vision-based GUI agent
By Yadong Lu, Senior Researcher; Jianwei Yang, Principal Researcher; Yelong Shen, Principal Research Manager; Ahmed Awadallah, Partner Research Manager Recent advancements in large vision-language...
View ArticleClik here to view.
USENIX ATC 2024 best paper | How Microsoft is improving cloud AI...
As cloud AI workloads grow in complexity and scale, maintaining high system reliability has become crucial. Traditional methods of ensuring system reliability, such as using redundant components,...
View ArticleClik here to view.
Timeline: Assistive technology at Microsoft Research
Empowering every person and organization on the planet to achieve more requires giving ownership of the computing experience to the individual and leveraging technological advancements to deliver...
View ArticleClik here to view.
Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks
By Adam Fourney, Principal Researcher; Gagan Bansal, Senior Researcher; Hussein Mozannar, Senior Researcher; Victor Dibia, Principal Research Software Engineer; Saleema Amershi, Partner Research...
View ArticleClik here to view.
Experimentation in GenAI: C++ Team’s Practices for Continuous Improvement
Generative AI (opens in new tab)(GenAI)[1] leverages deep learning models to identify underlying patterns and generate original content, such as text, images, and videos. This technology has been...
View ArticleClik here to view.
Towards a Synergy between AI and the Brain: Microsoft Research Asia StarTrack...
In a groundbreaking move, Microsoft Research Asia’s prestigious StarTrack Scholars has officially taken flight, extending a global invitation to brilliant young minds for an immersive three-month...
View ArticleClik here to view.
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...
View ArticleClik here to view.
External Validity of Online Experiments: Can We Predict the Future?
“It is difficult to make predictions, especially about the future” – Yogi Berra (perhaps apocryphal) How well can experiments be used to predict the future? At Microsoft’s Experimentation Platform...
View ArticleNeurIPS 2024 Papers from Microsoft Research Asia
Opens in a new tab The post NeurIPS 2024 Papers from Microsoft Research Asia appeared first on Microsoft Research.
View ArticleClik here to view.
Next-Generation Systems in the AI Era: Microsoft Research Asia StarTrack...
AI is advancing at an extraordinary pace, driven by groundbreaking innovations in computer systems. As we rapidly move towards an era centered around AI computing, these systems have significantly...
View ArticleMicrosoft Research @ NeurIPs beta AI experience
To help visitors to the Microsoft Research website get a sense of the research presented at NeurIPs 2024 by Microsoft research teams, we have created a beta AI experience to accompany our typical...
View ArticleClik here to view.
Theoretical foundations of large language models: Microsoft Research Asia...
Large language models (LLMs), led by GPT and followed by numerous other models, have demonstrated their strong capabilities in many areas, from language processing such as text generation and document...
View ArticleClik here to view.
Towards industrial foundation models: Integrating large language models with...
Although large language models (LLMs) excel in language-focused tasks like news writing, document summarization, customer service, and virtual assistants, they face challenges when it comes to...
View ArticleClik here to view.
Low latency carbon budget analysis reveals large decline in land carbon sink...
Since the Industrial Revolution, the burning of fossil fuels and changes in land use, especially deforestation, have driven the rise in atmospheric carbon dioxide (CO2). While terrestrial vegetation...
View Article