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Data platforms and analytics

TaskWeaver: A code-first agent framework for efficient data analytics and domain adaptation

Garnet: an open-source, next-generation, faster cache-store for accelerating applications and services

GenAI for Industry - AI-generated image compilation of industrial blueprints from renewable energy to transporation and manufacturing

Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning

Enhanced autoscaling with VASIM: Vertical Autoscaling Simulator Toolkit

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Published Date

Career Opportunity

Principal, Data Science & Analytics

Posted: May 12, 2026

Location: Mountain View, CA, US; Redmond, WA, US

Research Area(s): Artificial intelligence, Data platforms and analytics

The MAI Ecosystem Data Science Team owns Microsoft AI (MAI)‑wide metrics, shared measurement systems, and experimentation frameworks to enable consistent, high‑confidence decisions and optimize MAI‑level outcomes. We are seeking a Principal, Data Science & Analytics…

Publication

Covering Human Action Space for Computer Use: Data Synthesis and Benchmark

Miaosen Zhang, Xiaohan Zhao, Zhihong Tan, Huoshen Zhou, Yijia Fan, Yifan Yang, Kai Qiu, Bei Liu, Justin Wagle, Chenzhong Yin, Mingxi Cheng, Ji Li, Qi Dai, Chong Luo, Xu Yang, Xin Geng, Baining Guo

May 2026

arXiv | May 2026

Publication

Precision Kinematic Sunyaev–Zel’dovich Measurements Across Halo Mass and Redshift with DESI DR2 and ACT DR6: Part II. Bright Galaxy Survey and Emission-Line Galaxies

B. Hadzhiyska, S. Ferraro, F. Qu, B. R. Guachalla, E. Schaan, J. Aguilar, S. Ahlen, D. Bianchi, D. Brooks, F. Castander, E. Chaussidon, T. Claybaugh, A. Macorra, A. Dey, B. Dey, P. Doel, J. Forero-Romero, E. Gazta˜naga, S. Gontcho, A. Gontcho, G. Gutiérrez, J. Guy, K. Honscheid, C. Howlett, D. Huterer, M. Ishak, Russell Joyce, R. Kehoe, T. Kisner, A. Kremin, O. Lahav, M. Landriau, L. Guillou, A. Leauthaud, M. Manera, P. Martini, A. Meisner, R. Miquel, S. Nadathur, N. Palanque-Delabrouille, W. Percival, F. Prada, I. P´erez-Rafols, G. Rossi, L. Samushia, E. Sanchez, E. Schlafly, D. Schlegel, J. Silber, D. Sprayberry, G. Tarl´e, B. Weaver, Rosa Zhou, H. Zou

April 2026

arXiv | April 2026

Publication

Compliance in Databases: A Study of Structural Policies and Query Optimization

Ahana Pradhan, Srinivas Karthik, Imtiyazuddin Shaik, Srinivas Vivek

SeQureDB ’26 | April 2026

Publication

Selecting Feature Interactions for Generalized Additive Models by Distilling Foundation Models

Jingyun Jia, Chandan Singh, Rich Caruana, Benjamin J. Lengerich

April 2026

arXiv | April 2026

Publication

Sanity Checks for Agentic Data Science

Zachary T. Rewolinski, Austin Zane, Haoyang Huang, Chandan Singh, Chenglong Wang, Jianfeng Gao, Bin Yu

April 2026

arXiv | April 2026

Podcast

Ideas: Steering AI toward the work future we want

April 9, 2026

Microsoft Chief Scientist Jaime Teevan and researchers Jenna Butler, Jake Hofman, and Rebecca Janssen unpack the New Future of Work Report 2025 and explore the ideal AI-driven working world. Plus, is AI a tool or a collaborator? And…

New Future of Work 2026 | Jaime Teevan, Jenna Butler, Jake Hofman, Rebecca Janssen

Publication

RIB: Robust Learning-based Index Benefit Estimation

Sifan Chen, Chenning Wu, Yinan Jing, Wentao Wu, Zhenying He, Kai Zhang, X. Sean Wang

Proceedings of the ACM on Management of Data (SIGMOD 2026) | April 2026, Vol 4(1)

Publication

GUIDE: Reinforcement Learning for Behavioral Action Support in Type 1 Diabetes

Saman Khamesian, Srilekha Balaji, D. Shi, S. M. Carpenter, Daniel E. Rivera, W. B. Knox, Peter Stone, Hassan Ghasemzadeh

April 2026

arXiv | April 2026

Publication

Computer-Using World Model

Yiming Guan, Rui Yu, John Zhang, Lu Wang, Chaoyun Zhang, Liqun Li, Bo Qiao, Si Qin, He Huang, Fangkai Yang, Pu Zhao, Lukas Wutschitz, Samuel Kessler, Huseyin Atahan Inan, Robert Sim, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

ICLR’26 Workshop on World Models | April 2026

Project

Data platforms and analytics

Highlights