If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto ...

Take a look around the airport during your travels this summer and you might spot a string of new technologies at every ...

Lalitesh Morishetti stands as a pioneering figure in the landscape of artificial intelligence and data science. As a Principal Data Scientist at Walmart Global Tech, his career exemplifies a powerful ...

X Engineered Materials demonstrates how AI offers a path toward more resilient, sustainable, and future-ready manufacturing.

Interestingly, the study also identified a counterintuitive negative association between heavy alcohol consumption and ...

In livestock, veterinary drug residues are detected through non-destructive methods like hyperspectral imaging. One case in ...

Based on 18 billion labour market data points, Lightcast's Skillabi leverages new programme-occupation alignment score to close the gap between 'taught' and 'sought' skills MOSCOW, Idaho, June 3, 2025 ...

Predictive AI is already commonplace in entry-level hiring, but firms are envisioning additional ways to utilize a growing ...

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization by rapidly predicting molecular interactions and properties. For instance, ...

The global telecommunications landscape is characterized by unprecedented connectivity demands, fueled by a surge in mobile data traffic projected to reach staggering volumes in the coming years. Some ...

What if the Higgs boson did more than just give mass to the heaviest particles? A new CERN study explores its connection with ...

In our research work, we are considering 4133 range of index as an input dataset. The machine learning algorithm is a prominent technology to predict diseases at earlier stages. The various machine ...