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Microsoft Research Lab – India

新闻与深度文章

新闻报道 | Microsoft Stories India

A woman named Boa Sr was the last link to a 65,000-year-old pre-Neolithic culture on the Andaman Islands in the Indian Ocean. When she died in 2010, the Bo language died, too, becoming extinct. If that sounds like an isolated…

新闻报道 | Future Tense

A.I. language tools depend on data—and labor—from native speakers. Sanjib Chaudhary chanced upon StoryWeaver, a multilingual children’s storytelling platform, while searching for books he could read to his 7-year-old daughter. Chaudhary’s mother tongue is Kochila Tharu, a language with about…

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Microsoft Research India Podcast

Road safety is a very serious public health issue across the world. Estimates put the traffic related death toll at approximately 1.35 million fatalities every year, and the World Health Organization ranks road injuries in the top 10 leading causes…

A flowchart showing the DoWhy library process. Input Data and Domain Knowledge are injected into the library, where they go through four steps: Model causal mechanisms; Identify target estimands; Estimate causal effect; and Refute estimate. The process produces the output labelled Causal effect.
微软研究院博客

| Emre Kiciman 和 Amit Sharma

Identifying causal effects is an integral part of scientific inquiry. It helps us understand everything from educational outcomes to the effects of social policies to risk factors for diseases. Questions of cause-and-effect are also critical for the design and data-driven…

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Microsoft Research India Podcast

Sridhar Vedantham: Welcome to the MSR India podcast. In this podcast, Ravishankar Krishnaswamy, a researcher at the MSR India lab, speaks to Neeraj Kayal. Neeraj is also a researcher at MSR India and works on problems related to or at…

A flowchart showing inputs pre-processed before being fed into large language models including GPT-3, Codex, and others. The post-process output is returned to the end-user for verification. If they find the output incorrect, it is edited by them, and the learning is fed back into the pre-process and post-process mechanisms to improve them further.
微软研究院博客

| Rahul Sharma, Suresh Parthasarathy, Sriram Rajamani, Nagarajan Natarajan, 和 Arun Iyer

Large pre-trained language models such as GPT-3, Codex, and others can be tuned to generate code from natural language specifications of programmer intent. Such automated models have the potential to improve productivity for every programmer in the world. But since…

a couple of people posing for the camera
Microsoft Research India Podcast

 Episode 011 | January 18, 2022 Keratoconus is a severe eye disease that affects the cornea, causing it to become thin and develop a conical bulge. Keratoconus, if undiagnosed and untreated, can lead to partial or complete blindness in…

新闻报道 | Neowin

Those who have worked in the domain of data science know that developing an artificial intelligence (AI) model typically includes three stages at a high level: training, validation, and testing. When testing the accuracy of the model, there are usually…

EzPC provides secure AI model validation. In the diagram poses the following question: Is the accuracy of the AI model on the test dataset greater than 70%? First, an AI vendor provides model weights, and a modular compiler takes as input from the model weights the AI model structure written in ONNX code for ML inference. From this, it automatically generates MPC protocol code, which is then compiled into various MPC protocols. Additionally, a suite of highly performant cryptographic protocols securely compute complex ML functions on an organization’s test dataset. The MPC protocol outputs random bits, keeping the data from both parties secure.
微软研究院博客

| Nishanth Chandran, Divya Gupta, Aseem Rastogi, 和 Rahul Sharma

From manufacturing and logistics to agriculture and transportation, the expansion of artificial intelligence (AI) in the last decade has revolutionized a multitude of industries—examples include enhancing predictive analytics on the manufacturing floor and making microclimate predictions so that farmers can…