Dinis Guarda interviews Juan M. Lavista Ferres, Microsoft CVP and Chief Data Scientist, and Director of Microsoft AI for Good Lab, to discuss the key AI For Good initiatives taken by Microsoft for the benefit of humanity. The Dinis Guarda YouTube Podcast is powered by Businessabc.net (opens in new tab), Citiesabc.com (opens…
Dataset and Benchmark for Interpreting STEM Articles
Explore multimodal & small language models, plus advanced benchmarks for AI evaluation. Microsoft researchers are working on breakthroughs in weather prediction, materials design, even a new kind of computer for AI inference and hard optimization problems.
While generalization over tasks from easy to hard is crucial to profile language models (LLMs), the datasets with fine-grained difficulty annotations for each problem across a broad range of complexity are still blank. Aiming to address this limitation, we present Easy2Hard-Bench, a consistently formatted collection…
Welcome to Research Focus, a series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. Time-series forecasting is a technique used to predict future values based on previously observed data points over time.…
Geometric graph neural networks (GNNs) have emerged as powerful tools for modeling molecular geometry. However, they encounter limitations in effectively capturing long-range interactions in large molecular systems. To address this challenge, we introduce Neural P$^3$M, a versatile enhancer of geometric GNNs to expand the scope…
The Amazon rainforest is the world’s most complex biological environment, with millions of species of plants, birds and wildlife calling the vast area home, many of which have yet to be studied by scientists. From 2022 to 2023, the Amazon lost approximately 3 million hectares to…
As large language models (LLMs) evolve to handle increasingly longer contexts, serving inference requests for context lengths in the range of millions of tokens presents unique challenges. While existing techniques are effective for training, they fail to address the unique challenges of inference, such as…
Number of Openings: 2-4 Location: Beijing/Shanghai General Information: The Visual Computing Group at Microsoft Research Asia is seeking motivated and talented interns with expertise in computer vision and machine learning. This internship offers an exceptional opportunity to work on cutting-edge projects that push the boundaries…
Number of Openings: 2-4 Location: Beijing Group Introduction: The Social Computing Group at Microsoft Research Asia is dedicated to integrating computer science with social sciences, deeply exploring the profound impact of artificial intelligence on society and human behavior. Through interdisciplinary collaboration and research, we focus on the…
Number of Openings: 2-4 Location: Beijing/Shanghai Group Introduction: The Systems Research Group (SRG) at Microsoft Research Asia is dedicated to conducting foundational and applied research in the field of computer systems. The SRG team focuses on driving breakthrough advancements in computer systems, with a commitment…
Job Type: Full-time Intern Number of Openings: 2-4 Location: Shanghai Group Introduction: The research direction of the Shanghai AI/ML Group at Microsoft Research Asia (Shanghai) focuses on the study of cutting-edge machine learning algorithms and their applications in fields such as brain science and healthcare.…
