A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...

Co-curricular committee & Hobby project club in association with ISTE student chapter & Institute Innovation Council of ...

Scientists at the Icahn School of Medicine at Mount Sinai have developed a novel artificial intelligence tool that not only ...

Investigations suggest V2P may be efficiently applied for the automated identification of causal variants in simulated and actual patient sequencing data across phenotypes.

Great Learning and Johns Hopkins University launch a unique 10-week AI in Healthcare programme designed for medical ...

Scientists at the Icahn School of Medicine at Mount Sinai have developed a novel artificial intelligence tool that not only identifies disease-causing genetic mutations but also predicts the type of ...

By comparing clinical cohorts and populations from Singapore and the US, researchers will study infectious diseases, corneal disorders, liver transplant outcomes, diabetes and lung cancer to uncover ...

Venkata Surya Bhavana Harish Gollavilli, is a technology leader and strategist, currently serving as a Software Development ...

The global AI ecosystem has been built upon an epistemic void, a missing centre, an unacknowledged blind spot that has ...

A key challenge arises from agricultural data itself. Crop environments are highly variable, influenced by local climate, ...