Minister of Primary and Secondary Education, Abdul Mu’ti, has clarified that Ministerial Regulation No. 13 of 2025 is not ...

In the world’s fast-growing cities, everything from road congestion to public safety is under pressure. As populations swell ...

Deep learning, a subset of machine learning, refers to machine learning that takes place on artificial intelligence neural networks. Written by eWEEK content and product recommendations are ...

Google’s longtime AI guru has quietly backed more than 30 startups in the past two years—offering founders early credibility ...

Explore 20 powerful activation functions for deep neural networks using Python! From ReLU and ELU to Sigmoid and Cosine, ...

Deep Learning: It is a kind of machine learning which has a human brain-like structure. It works on the basis of logical assembly of algorithms which are known as neural networks.

Accurate and efficient traffic speed prediction is crucial for improving road safety and efficiency. With the emerging deep ...

A new study published in Scientific Reports has introduced a promising diagnostic tool that could dramatically shorten the ...

Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically ...

Deep learning focuses on predicting or classifying data, while generative AI creates new content. (Jump to Section) Common deep learning techniques include CNNs, RNNs, and LSTMs.

Deep learning has also benefited from the company’s method of splitting computing tasks among many machines so they can be done much more quickly. That’s a technology Dean helped develop ...

Deep learning employs an algorithm called backpropagation, or backprop, that adjusts the mathematical weights between nodes, so that an input leads to the right output.