Machine learning algorithms do a lot for us every day -- send unwanted email to our spam folder, warn us if our car is about to back into something, and give us recommendations on what TV show to ...

When it comes to machine learning algorithms, one’s thoughts do not naturally flow to the 6502, the processor that powered some of the machines in the first wave of the PC revolution. And one… ...

Using a machine learning algorithm, researchers say they have come up with a more efficient way to map impoverished regions Stanford University/Neal Jean et al. View gallery - 3 images ...

Deep learning is a subcategory of machine learning algorithms that use multi-layered neural networks to learn complex relationships between inputs and outputs. The more layers in the neural ...

The deep learning tool, Audioflow, performed almost as well as a specialist machine used in clinics, and achieves similar results to urology residents in assessing urinary flow.

The relationship between these parameters and their relevance to heat transfer coefficients can be deduced using new machine learning techniques. ... D. Garg, S.M. Kim, I. Mudawar, C.R. Kharangate, ...

TensorFlow 2.0, released in October 2019, revamped the framework significantly based on user feedback. The result is a machine learning framework that is easier to work with—for example, by ...

By leveraging multiple sources and applying a random forest classifier (a machine learning algorithm), the team addresses the inconsistencies between existing land cover datasets with a remarkable ...

Specifically, they extracted information about poverty from these satellite images, and built upon previous machine learning algorithms to detect impoverished areas across five countries in Africa.