Love AI or Hate AI But Biochemists Can’t Ignore ...
Prof. Deva Priyakumar discusses the drug discovery process and sheds light on the role played by computations in making it more efficient. Before delving into how AI supports the drug discovery process, it’s essential to understand the evolution of drug
AI In Medical Imaging: A Diagnostic Enabler
From assisting experts in healthcare diagnosis based on images alone, AI-assisted radiology is evolving to include multiple evidence-based reports, observes Prof Jayanthi Sivaswamy. Images have been a key part of diagnosis in healthcare for long. From the X-ray that is
IIITH’s AI Tool Powers Malnutrition Detection In...
The simple solution uses a smart phone for faster and automatic assessment of children’s growth parameters. Data is king, yes. But if it’s quality is moot then uneasy lies the head that wears such a crown. One of the biggest
How AI is Revolutionising Diagnosis of Sleep Disor...
Prof S. Bapi Raju lists out IIITH’s innovations in detection of sleep disorders through automatic classification of sleep stages, thereby providing an in-depth sleep analysis. A nutritious diet and adequate exercise are cornerstones of good health. But good quality sleep
Self-adaptive EdgeML With Model Balancer
Dr. Karthik Vaidhyanathan explains a novel approach that allows a system on edge to self-adapt between different ML models, thus achieving better resource efficiency. Lately, leaps in technological progress have meant that AI is not only popular but is now
Optimization Techniques For Edge AI
In a Q&A about the emergence of edge computing, Dr. Suresh Purini explains its scope, the challenges confronting Edge ML, and briefly describes the active research on edge that is underway at IIITH. Why has ML on the Edge emerged?