Microsoft Research Lab – Asia
News & features
Welcome to the first exhibition zone, where you’ll discover Microsoft Research Asia’s groundbreaking advances in foundational AI research, covering areas like model architecture, algorithm optimization, system networks, and data processing. Together, they push the boundaries of AI’s potential and establish…
In industry today, research and development (R&D) plays a pivotal role in boosting productivity, especially in the AI era. However, the rapid advance of AI has exposed the limitations of traditional R&D automation methods. These methods often lack the intelligence…
Awards | IEEE Computer Society
Yasuyuki Matsushita named IEEE Fellow
Microsoft Research congratulates Yasuyuki Matsushita on being named a 2025 IEEE Fellow for his outstanding contributions to photometric 3D modeling and computational photography.
Research Focus: Week of December 16, 2024
NeoMem: hardware/software co-design for CXL-native memory tiering; Chimera: accurate retrosynthesis prediction by ensembling models with diverse inductive biases; GA4GH task execution API enables multicloud task execution.
NeurIPS 2024: The co-evolution of AI and systems with Lidong Zhou
| Lidong Zhou and Eliza Strickland
Just after his NeurIPS 2024 keynote on the co-evolution of systems and AI, Microsoft CVP Lidong Zhou joins the podcast to discuss how rapidly advancing AI impacts the systems supporting it and the opportunities to use AI to enhance systems…
Abstracts: NeurIPS 2024 with Jindong Wang and Steven Euijong Whang
| Gretchen Huizinga, Jindong Wang, and Steven Euijong Whang
Researcher Jindong Wang and Associate Professor Steven Euijong Whang explore the NeurIPS 2024 work ERBench. ERBench leverages relational databases to create LLM benchmarks that can verify model rationale via keywords in addition to checking answer correctness.
We’re excited to be a part of #NeurIPS2024! Explore the future of AI with over 100 groundbreaking papers, including oral and spotlight sessions, on reinforcement learning, advanced language model training, and multilingual, culturally inclusive benchmarks.
Abstracts: NeurIPS 2024 with Weizhu Chen
| Amber Tingle and Weizhu Chen
Next-token prediction trains a language model on all tokens in a sequence. VP Weizhu Chen discusses his team’s 2024 NeurIPS paper on how distinguishing between useful and “noisy” tokens in pretraining can improve token efficiency and model performance.
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 and oceans serve as natural carbon sinks, absorbing some of this CO2,…