Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

Even networks long considered "untrainable" can learn effectively with a bit of a helping hand. Researchers at MIT's Computer ...

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This ...

A new framework that causes artificial neural networks to mimic how real neural networks operate in the brain has been ...

The human brain, with its billions of interconnected neurons giving rise to consciousness, is generally considered the most powerful and flexible computer in the known universe. Yet for decades ...

FLAMeS, a new convolutional neural network, enhances MS lesion segmentation accuracy using only T2-weighted FLAIR images, ...

Human brains learn new tasks quickly by reusing mental building blocks, a flexibility scientists are now studying to improve AI.

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...