Provably Outlier-resistant Semi-parametric Regression for Transferable Calibration of Low-cost Air-quality Sensors

arXiv — stat.MLWednesday, November 26, 2025 at 5:00:00 AM
  • A new study introduces the RESPIRE technique for calibrating low-cost air-quality sensors in India, specifically targeting CO detection. This method is part of a larger initiative to enhance air-quality monitoring across diverse geographical areas, addressing the challenges of traditional calibration methods that are often costly and time-consuming.
  • The development of RESPIRE is significant as it enables more efficient deployment of low-cost air-quality sensors, which are crucial for establishing extensive monitoring networks. This advancement could lead to improved public health outcomes by providing better data on air pollution levels.
  • The introduction of RESPIRE aligns with ongoing efforts in India to leverage technology for public health and environmental monitoring, similar to initiatives like Health Sentinel, which utilizes AI for real-time disease outbreak detection. Both projects highlight the increasing reliance on innovative technologies to address critical health and environmental issues.
— via World Pulse Now AI Editorial System

Was this article worth reading? Share it

Recommended apps based on your readingExplore all apps
Continue Readings
India’s Emversity doubles valuation as it scales workers AI can’t replace
PositiveArtificial Intelligence
Emversity, an Indian startup focused on job-ready training, has successfully raised $30 million in a new funding round, doubling its valuation as it aims to scale its operations in a market increasingly focused on skills that artificial intelligence cannot replace.
First-ever dataset to improve English-to-Malayalam machine translation fills critical gap for low-resource languages
PositiveArtificial Intelligence
Researchers at the University of Surrey have developed the world's first dataset designed to enhance English-to-Malayalam machine translation, addressing a significant gap for this low-resource language spoken by over 38 million people in India.
IndRegBias: A Dataset for Studying Indian Regional Biases in English and Code-Mixed Social Media Comments
NeutralArtificial Intelligence
A new dataset named IndRegBias has been introduced to study regional biases in English and code-mixed comments on social media platforms like Reddit and YouTube, focusing on Indian contexts. This dataset comprises 25,000 comments that reflect regional biases, which have been less explored compared to other social biases such as gender and race.
Edge-AI Perception Node for Cooperative Road-Safety Enforcement and Connected-Vehicle Integration
PositiveArtificial Intelligence
A new study presents an Edge-AI perception node designed for real-time traffic violation analytics and safety event dissemination in India, addressing the challenges posed by rapid motorization and a significant enforcement gap, with over 11 million violations recorded in 2023.
Why India’s plan to make AI companies pay for training data should go global
PositiveArtificial Intelligence
India is proposing a licensing fee for AI companies that utilize copyrighted data for training, aiming to ensure creators are compensated and to reduce legal disputes. This initiative reflects a growing recognition of the need to protect intellectual property in the rapidly evolving AI landscape.

Ready to build your own newsroom?

Subscribe to unlock a personalised feed, podcasts, newsletters, and notifications tailored to the topics you actually care about