From guesswork to guidance: How machine learning speeds dopant design for water-splitting photocatalysts

MLIP calculations successfully identify suitable dopants for a novel photocatalytic material, report researchers from the ...

Cracking the code: How a 'prediction machine' is resurrecting the Singapore Stone

Several years ago, my linguistic research team and I began developing a computational tool we call "Read-y Grammarian." Our ...
Scientific Research Publishing

UWB NLOS Signal Recognition Based on Deep Learning ()

However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...

Education as service has significant potential to contribute to India's export earnings: Piyush Goyal

Commerce Minister Piyush Goyal on Friday said that education as a service has significant potential to contribute to India''s export earnings and help them take high quality Indian education to the ...
IEEE

Physically-Aware Qubit Reuse for Optimized Quantum Circuit Compilation Using Machine Learning

Recently developed quantum computers support mid-circuit measurements, allowing qubit measurement, resetting, and reuse during the execution of quantum circuits. This capability opens new ...
Microsoft

How to use AI for learning languages

Learning a new language has always been exciting, but it can also feel intimidating. Many learners struggle with confidence, finding time to practice, or getting enough real‑world conversation ...
IEEE

Deep Carbonate Reservoir Hydrocarbon Detection Using Multiseismic Features Constrained Unsupervised Machine Learning

Abstract: Reservoir hydrocarbon detection is of great interest for reservoir characterization and quality assessment. However, deep carbonate reservoirs exhibit weak seismic response features, making ...