Researching software and systems that bridge the linguistic divide between people and machines to make communicating with computers as natural as speaking with family and friends.
Innovative AI research often depends on access to resources. Microsoft wants to help. Technical Advisor Evelyne Viegas and distinguished faculty from two Minority Serving Institutions discuss the benefits of Microsoft’s Accelerating Foundation Models Research program…
The Health and Life Sciences (HLS) group at Microsoft is dedicated to advancing healthcare and life sciences through innovative technology solutions, fostering collaboration, and driving impactful research to improve patient outcomes and streamline healthcare operations.…
While large language models (LLMs) are capable of synthesizing vast amounts of information, they sometimes produce inaccurate or unsubstantiated content. To mitigate this risk, tools like Azure AI’s Groundedness Detection (opens in new tab) can…
The Microsoft Applied Sciences Group incubates disruptive technologies for Microsoft’s next-gen Windows and Surface products. Many of the new experiences we bring to the market will be powered by speech, computer vision, natural language processing…
In the fast-evolving world of software libraries, code generation models are struggling to keep pace. Most existing benchmarks focus on static, version-agnostic code predictions, failing to capture the true complexity of adapting to frequent updates…
On Memory Construction & Retrieval for Personalized Conversational Agents How can conversational agents better retain and retrieve past interactions for more coherent and personalized experiences? Our latest work – SeCom on Memory Construction & Retrieval…
