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It’s important for a deep learning model to make accurate predictions in production. How efficiently these predictions happen also matters.

You can count on the Consumer Electronics Show (CES) showing the very latest in game-changing technology.

The project contains more than 20 pre-trained deep learning models, benchmarking scripts, best practice documents and step-by-step tutorials

Camera, radar and lidar sensors give autonomous vehicles superhuman vision.

Deep learning can be implemented at every stage of healthcare, creating tools that can raise the standard of care and quality of life.

The same framework that solves challenges for AVs is also capable of dramatically improving the safety of the road today via ADAS.

From enabling security throughout a city to the rapid identification and classification of medical imaging data, Intel accelerates IoT.

Today, the most important area is the huge advances being made on almost a daily basis in neural networks and artificial intelligence.

CUDA Fortran compiler support enables scientific programmers using Fortran to take advantage of FP16 matrix operation acceleration.

Many AI applications have data pipelines that include several processing steps when executing inference operations.