Using GPUs for Deep Learning
As AI technology advances and more organizations are implementing machine learning operations (MLOps), companies are looking for ways to speed up processes. This is especially
As AI technology advances and more organizations are implementing machine learning operations (MLOps), companies are looking for ways to speed up processes. This is especially
Distributed applications are not new. The first distributed applications were developed over 50 years ago with the arrival of computer networks, such as ARPANET. Since
We tend to think of AI as a monolithic entity, but it’s actually developed along multiple branches. One of the main branches involves performing traditional
We like our computers to be general-purpose, but specialty hardware has been creeping in since the beginning. Remember when Intel introduced the 287 math coprocessor,
Here are 10 open-source tools/frameworks for today’s hot topic, AI. TensorFlow™ is an open-source software library, which was originally developed by researchers and engineers working
The road less traveled. That describes how two research teams are approaching the fight against cancer, using GPU-accelerated computing and deep learning to explore new
Neural networking has been the talk of the town courtesy of the massive levels of technological innovation. Amidst the growth of neural networking applications, many
Databricks Inc. said it’s wedding Big Data with deep learning in the latest update to its Apache Spark-based platform. The new support for deep learning