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 ...

Dumebi Duru is the overall best graduating student of the Pan-Atlantic University (PAU), Lagos. She graduated from the Department of Computer Science for the 2024-2025 session with a perfect ...

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.

The future belongs to organizations that fuse exponential technology with exponential human learning grounded in a deep ...

Brain-Computer Interfaces (BCIs) are emerging as transformative tools that enable direct communication between the human ...

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 ...

The March 2026 issue of NEJM Catalyst Innovations in Care Delivery is a special theme issue on the hard work of implementing artificial intelligence in real-world ...

The field of particle physics is approaching a critical horizon defined by challenges including unprecedented data volumes and detector complexity. Upcoming ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

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 ...