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

When you listen to quantum enthusiasts, you may feel tempted to treat QML as an emerging silver bullet, which it isn’t.

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend of artificial intelligence and quantum computing.

Imagine having a super-powered lens that uncovers hidden secrets of ultra-thin materials used in our gadgets. Research led by ...

Machine learning is one type of AI that uses complex algorithms to process huge amounts of data quickly. Then, the machine uses this data to make predictions, gather insights and learn.

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

At Credit Suisse, we have been investing in machine learning models to enable real-time predictions of market volume, volatility and price movement. Specifically, for the IS wheel, these real-time ...

More importantly, they say, their machine-learning-based method was extremely efficient, reducing the number of compounds that needed to be screened by more than 200-fold.

As the use of machine learning algorithms in health care continues to expand, there are growing concerns about equity, fairness, and bias in the ways in which machine learning models are developed ...

Predicting which patients will respond well to treatment is a quandary that has plagued the field of cancer immunotherapy for more than four decades. Now, researchers at the Johns Hopkins Kimmel ...