How AI Is Reshaping India's IT Jobs: 30% Less Hirings, Vanishing Mid-level Roles

A study conducted by FindMyCollege, covering more than 1 lakh active IT jobs in the current market, finds the pay ladder starting at a median of ₹2.6 LPA (lakhs per annum), rising to ₹25 LPA for ...
Nature

Active Learning Strategies in Machine Learning Systems

Active learning encompasses a suite of iterative sampling methodologies that seek to maximise predictive performance while minimising the burden of manual annotation. By identifying and labelling only ...
IEEE

Voltage Stability Prediction Using Active Machine Learning

Abstract: An active machine learning technique for monitoring the voltage stability in transmission systems is presented. It has been shown that machine learning algorithms may be used to supplement ...
GitHub

Data Efficient Active Learning for Machine Learning Potentials

Reference: Perego S. & Bonati L. Data efficient machine learning potentials for modeling catalytic reactivity via active learning and enhanced sampling, npj Computational Materials 10, 291 (2024) doi: ...

Artificial Intelligence (AI): What It Is, How It Works, Types, and Uses

Artificial intelligence technology allows computers and machines to simulate human intelligence and problem-solving ...
PNAS

Active learning machine learns to create new quantum experiments

Quantum experiments push the envelope of our understanding of fundamental concepts in quantum physics. Modern experiments have exhaustively probed the basic notions of quantum theory. Arguably, ...
C&EN

Reactive Active Learning: An Efficient Approach for Training Machine Learning Interatomic ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Discovering chemical reaction pathways using quantum mechanics is impractical for many ...
Frontiers

TiAlNb alloy interatomic potentials: comparing passive and active machine learning ...

Intermetallic alloys based on -titanium aluminide (-TiAl) have emerged as superior lightweight materials for aerospace and automotive applications. Their unique combination of low density, excellent ...
Frontiers

The role of machine learning methods in physiological explorations of endurance trained ...

Endurance-trained athletes require physiological explorations that have evolved throughout the history of exercise physiology with technological advances. From the ...
C&EN

Machine-Learned Potentials by Active Learning from Organic Crystal Structure Prediction ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. A primary challenge in organic molecular crystal structure prediction (CSP) is ...