Machine learning and deep learning are both core technologies of artificial intelligence. Yet there are key differences between them. Written by eWEEK content and product recommendations are ...

Deep learning is so popular today due to two main reasons. First it was discovered that CNNs run much faster on GPUs, such as NVidia‘s Tesla K80 processor. Secondly, data scientists realized that the ...

Over the past few years, the term “deep learning” has firmly worked its way into business language when the conversation is about Artificial Intelligence (AI), Big Data and analytics. And with ...

There are typically two approaches to taking usable photos in low-light conditions. You can either use a slow shutter, which requires a tripod to eliminate blur, or electronically increase the ...

Most discussions of developers making use of machine learning revolve around creating AI-powered applications and the tools used to create them: TensorFlow, PyTorch, Scikit-learn, and so on. But ...

Machine learning and deep learning have become an important part of many applications we use every day. There are few domains that the fast expansion of machine learning hasn’t touched.

Machine learning is a branch of artificial intelligence that includes methods, or algorithms, for automatically creating models from data. Unlike a system that performs a task by following ...

Tools like Google’s Speech-to-Text AI and Speechmatics use deep learning for voice-to-text translation. Automated Vehicles: Deep learning powers the object detection and trajectory planning of ...

That’s what makes deep learning such a powerful tool for any machine learning task. Abhishek Gupta is the principal data scientist at Talentica Software . DataDecisionMakers ...