Microsoft Research India: Advancing AI, Language Preservation, and Technology

Microsoft Research Lab – India: A Hub of Innovation

This document outlines the various research areas, programs, events, and resources available through Microsoft Research India. It highlights the lab's commitment to advancing technology across diverse fields, from artificial intelligence and systems to theory and other sciences.

Research Areas:

• Intelligence:

  • Artificial Intelligence
  • Audio & Acoustics
  • Computer Vision
  • Graphics & Multimedia
  • Human-Computer Interaction
  • Human Language Technologies
  • Search & Information Retrieval

• Systems:

  • Data Platforms and Analytics
  • Hardware & Devices
  • Programming Languages & Software Engineering
  • Quantum Computing
  • Security, Privacy & Cryptography
  • Systems & Networking

• Theory:

  • Algorithms
  • Mathematics

• Other Sciences:

  • Ecology & Environment
  • Economics
  • Medical, Health & Genomics
  • Social Sciences
  • Technology for Emerging Markets

Programs & Events:

• Academic Programs
• Events & Academic Conferences
• Microsoft Research Forum

Connect & Learn:

• Behind the Tech podcast
• Microsoft Research blog
• Microsoft Research Forum
• Microsoft Research podcast

About Microsoft Research India:

• Leadership: Venkat Padmanabhan, Managing Director
• Address: Vigyan, No. 9, Lavelle Road, Bengaluru, Karnataka, 560 001, India
• Contact: +91 (80) 66586000
• Social Media: Facebook, X (formerly Twitter)

Recent News & Features:

• Microsoft Research project helps languages survive – and thrive: This article highlights how AI is being used to preserve endangered languages, citing the example of the Bo language from the Andaman Islands. It discusses the challenges and potential of AI translation tools in language preservation.
• An A.I. Translation Tool Can Help Save Dying Languages. But at What Cost?: This piece explores the ethical considerations and resource requirements of using AI for language preservation, referencing the StoryWeaver platform and the role of native speakers.
• Podcast: HAMS – Using Smartphones to Make Roads Safer: Features Dr. Venkat Padmanabhan and Dr. Akshay Nambi discussing how smartphones can be leveraged to improve road safety, addressing the global issue of traffic-related fatalities.
• DoWhy evolves to independent PyWhy model to help causal inference grow: Discusses the evolution of the DoWhy library into the PyWhy model, emphasizing its importance in understanding cause-and-effect relationships across various scientific domains.
• Podcast: A Random Walk from Complexity Theory to Machine Learning: Features Dr. Neeraj Kayal and Dr. Ravishankar Krishnaswamy discussing their research journey at the intersection of complexity theory and machine learning.
• Jigsaw fixes bugs in machine-written software: Explains how Jigsaw assists in identifying and fixing bugs in software generated by AI models, aiming to improve programmer productivity.
• Podcast: Collaborating to Develop a Low-cost Keratoconus Diagnostic Solution: Features Dr. Kaushik Murali and Dr. Mohit Jain on developing an affordable diagnostic tool for Keratoconus, an eye disease.
• EzPC: Microsoft’s attempt to enhance data security in AI model validation: Details the EzPC system, designed to increase data security during the validation of AI models.
• EzPC: Increased data security in the AI model validation process: Further elaborates on EzPC's role in securing AI model validation, highlighting its application across various industries.

The content also includes links to various Microsoft products and services, company information, and legal disclaimers, providing a comprehensive overview of Microsoft's engagement in research and technology.