The world's first dataset aimed at improving the quality of English-to-Malayalam machine translation—a long-overlooked ...

In just three months, Phlow and Enveda generated and analyzed nearly 20,000 unique reactions, creating one of the largest high-quality datasets of its kind. The resulting uniform dataset is ...

A new technical paper titled “Leveraging Qubit Loss Detection in Fault-Tolerant Quantum Algorithms” was published by ...

Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister ...

A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...

With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...

State records disappearing online and officials' failure to return phone calls has led confusion to mount about a heavily scrutinized Minnesota childcare center and other largely Somali-run facilities ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Imagine a future where quantum computers supercharge machine learning—training models in seconds, extracting insights from massive datasets and powering next-gen AI. That future might be closer than ...

Abstract: We present Popper, a dataflow system for building Machine Learning (ML) workflows. A novel aspect of Popper is its built-in support for inflight error ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...

The exponential growth of digital financial services has created unprecedented challenges in fraud prevention and identity verification. Traditional rule-based systems struggle to keep pace with ...