Promptions helps make AI prompting more precise with dynamic UI controls
| Sean Rintel, Advait Sarkar, Jack Williams, Nicholas Wilson, Richard Banks, Neeltje Berger, Philipp Steinacher, Payod Panda, and Ian Drosos
Promptions helps developers add dynamic, context-aware controls to chat interfaces so users can guide generative AI responses. It lets users shape outputs quickly without writing long instructions.
Research Focus: Week of January 8, 2024
| Zinan Lin, Jinyu Li, Bhaskar Mitra, Siân Lindley, Liang Wang, Nan Yang, and Furu Wei
Mixture-of-linear-experts for long-term time series forecasting; Weakly-supervised streaming multilingual speech model with truly zero-shot capability; KBFormer: Diffusion model for structured entity completion; Identifying risks of AI-mediated data access:
Research at Microsoft 2023: A year of groundbreaking AI advances and discoveries
AI saw unparalleled growth in 2023, reaching millions daily. This progress owes much to the extensive work of Microsoft researchers and collaborators. In this review, learn about the advances in 2023, which set the stage for further progress in 2024.
Research Focus: Week of November 8, 2023
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. Generating both plausible and accurate full body avatar motion is essential for creating…
Research Focus: Week of May 22, 2023
In this edition: New research explores the causal ability of LLMs and DNA storage in thermoresponsive capsules; a talk on human-centered AI; and a CFP for funding for LLM productivity research projects from the Microsoft New Future of Work Initiative.
Highlights from CHI 2023
The ways in which people are able to interact with technologies can have a profound effect on a technology’s utility and adoptability. Building computing tools and services around people’s natural styles of work, communication, and play can give technology the…
CHI 2021: Making remote and hybrid meetings work in the new future of work
| Jaime Teevan
Over the course of the COVID-19 pandemic, some truths about the nature of work have been underscored: it is uniquely complex, quickly shifting, and increasingly technology-mediated. Teaching, medicine, mental health, and other professions—previously thought to be near-impossible to do remotely—have…
Advancing organizational science using network machine learning to measure innovation in the workplace
| Carolyn Buractaon, Amber Hoak, David Tittsworth, Neha Shah, and Jonathan Larson
Is innovation another loss due to the global COVID-19 pandemic? Indicators reveal challenges to overcome—as well as opportunities to build on our collective experience gained (opens in new tab) in the last year. Measuring collaboration using network machine learning provides…
How research can enable more effective remote work
| Jaime Teevan and Brent Hecht
Due to recent events, millions of office workers have needed to rapidly adjust to working from home—learning new collaboration tools and best practices, re-thinking how to stay connected with colleagues outside the office, and adapting to new social norms around…