New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...

Conventional electronic noses rely on arrays of chemical sensors whose electrical responses are often affected by humidity, temperature fluctuations, and long-term drift. While these systems have ...

Working across India, THT works with over 120 partners covering an area of over six lakh hectares. It has developed cutting-edge technologies to solve complex conservation challenges.

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

Report from wireless connectivity trade body outlines frameworks and priorities needed to scale intelligent Wi-Fi through artificial intelligence and machine learning without industry fragmentation.

Brain-Computer Interfaces (BCIs) are emerging as transformative tools that enable direct communication between the human brain and external devices. With recent advancements in Electroencephalography ...

Researchers used 16S rRNA sequencing and machine learning to identify gut microbiome patterns associated with insulin resistance severity in people with type 2 diabetes. XGBoost models showed that ...

A new light-based imaging approach has produced an unprecedented chemical map of the Alzheimer’s brain. Rice University researchers have produced what they describe as the first full, label-free ...

Broadcasters have moved data from the back end of advertising campaigns to the front. The information, once used primarily to explain performance after a campaign concluded, now determines which ads ...

AI fault detection uses waveform analytics and machine learning to identify early electrical failure signatures in distribution systems. Utilities gain predictive insight into incipient faults, asset ...

Some cybersecurity researchers say it’s too early to worry about AI-orchestrated cyberattacks. Others say it could already be ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...