Deep learning is a subset of machine learning (ML) that uses neural networks, significant amounts of computing power, and huge datasets to create systems that can learn independently. It can perform ...

Deep learning is a type of machine learning that uses deep neural networks with multiple layers, often hundreds or thousands, to process data and make decisions like the human brain. Unlike ...

In the video presentation below (courtesy of Yandex) – “Deep Learning: Theory, Algorithms, and Applications” – Naftali Tishby, a computer scientist and neuroscientist from the Hebrew University of ...

Deep learning is a type of machine learning that learns by looking at lots of examples. In a way, deep learning is how we humans learn new things. For instance, you might teach a toddler to recognize ...

We’re seeing a rising number of new books on the mathematics of data science, machine learning, AI and deep learning, which I view as a very positive trend because of the importance for data ...

Read more about how machine learning and deep learning differ, where each is used, and how businesses choose between them in real scenarios.

Researchers from Bar-Ilan University have developed a groundbreaking method to drastically reduce the size and energy consumption of deep learning systems—without compromising performance. Published ...

This content has been selected, created and edited by the Finextra editorial team based upon its relevance and interest to our community. Artificial intelligence (AI), a concept once confined to the ...

Crop pests cause substantial yield losses worldwide and pose persistent challenges to sustainable agriculture.