News & features
Research Focus: Week of September 23, 2024
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…
In the news | Axios Science
1 big thing: Cutting through the BS of AI
A new algorithm, along with a dose of humility, might help generative AI mitigate one of its persistent problems: confident but inaccurate answers. Why it matters: AI errors are especially risky if people overly rely on chatbots and other tools…
Research Focus: Week of May 13, 2024
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. Large language models (LLMs) have shown remarkable performance in generating text similar to…
Microsoft Research Forum: New series explores bold ideas in technology research in the era of AI
Microsoft Research Forum (opens in new tab) is a new series of conversations that explore recent advances, bold new ideas, and important discussions within the global research community. Leading Microsoft researchers will share insights into their work, followed by live…
Abstracts: January 25, 2024
| Gretchen Huizinga, Jordan Ash, and Dipendra Misra
On “Abstracts,” Jordan Ash & Dipendra Misra discuss the parameter reduction method LASER. Tune in to learn how selective removal of stored data alone can boost LLM performance, then sign up for Microsoft Research Forum for more on LASER &…
NeurIPS 2023 highlights breadth of Microsoft’s machine learning innovation
We’re proud to have 100+ accepted papers At NeurIPS 2023, plus 18 workshops. Several submissions were chosen as oral presentations and spotlight posters, reflecting groundbreaking concepts, methods, or applications. Here’s an overview of those submissions.
Tackling sign language data inequity
ASL Citizen is the first crowdsourced sign language dataset, advancing the state of the art in sign recognition. The web-based project captured input from people in real-world settings, and from a diverse group of experts, including Deaf team members.
AI Frontiers: Measuring and mitigating harms with Hanna Wallach
| Hanna Wallach and Ashley Llorens
Powerful large-scale AI models like GPT-4 are showing dramatic improvements in reasoning, problem-solving, and language capabilities. This marks a phase change for artificial intelligence—and a signal of accelerating progress to come. In this Microsoft Research Podcast series, AI scientist and…
In the news | TIME
Microsoft on the TIME100 AI list
This morning, TIME released its first “TIME100 Artificial Intelligence” list online, which includes Kevin Scott, Jaime Teevan, Kate Crawford, and Kalika Bali.