Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and ...

The study found that integrating spatial analysis from CNNs with temporal learning from LSTMs enabled the hybrid model to ...

From coding to hardware, LLMs are speeding up research progress in artificial intelligence. It could be the most important ...

Moderate exercise may slow brain aging, protecting cognition and brain structure, while too little or too much activity may ...

Supervised learning is a machine learning approach in which algorithms are trained on labelled datasets—that is, data that already includes the correct outputs or classifications. The model learns to ...

News.com.au has discovered the impressive family stock of leading AI mind Andrew Tulloch, who made global headlines for rejecting a reported $1.5 billion payday to work for Meta. Meta, the parent ...

Now Hear This is a monthly A&R column that provides you with exciting new sounds we discovered through the innovative new ...

As summer temperatures peak across the northern hemisphere, a team at Reuters investigated the dangerous heat conditions ...

A state-of-the-art global coastal digital terrain model (DTM) with a resolution of 1 arcsecond (~30m) has been created by ...

Machine learning holds promise for optimizing treatment strategies and potentially improving outcomes in respiratory failure ...

Neuroblastoma is the most common solid tumor in infants and accounts for nearly 15% of all pediatric cancer-related deaths.

The accurate estimation of bearing stratum depth, the subsurface soil or rock layer depth that can support a foundation, is ...