Opinion: Lidiya Mishchenko and Pooya Shoghi explain how to bridge a gap preventing successful patent claims to protect new ...

Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ...

This important study demonstrates the significance of incorporating biological constraints in training neural networks to develop models that make accurate predictions under novel conditions. By ...

The learning curve for implementing machine learning solutions is generally steep, so you’ll need a solid understanding of statistics, data science, and algorithm development.

In simple terms, machine learning allows data scientists to automate tasks and teach a program to learn how to deal with data rather than ... Differences between data science and machine learning.

For example, Khalil and her colleagues have analyzed data from more than 600,000 songs and found no significant correlations between various acoustic features and a tune's commercial popularity.

Safety-critical machine-learning systems are usually trained on closed data sets that are curated and labelled by human workers—poisoned data would not go unnoticed there, says Alina Oprea, a ...