Announcements include deep cluster- and query-level visibility for MongoDB, AWS integrations, and a modern approach to Cloud ...

MIT researchers developed a photonic processor for AI, achieving high-speed, low-latency, and energy-efficient computations.

The deep neural network models that power today's most demanding machine-learning applications have grown so large and ...

The deep neural network models that power today's most demanding machine-learning applications have grown so large and ...

Select customers can begin using Oracle Exadata Database Service on Oracle Database@AWS to simplify the migration and ...

A common challenge for marketers is understanding and engaging with people who have "thin" data profiles, such as donors with ...

We speak to Terren Peterson, Capital One’s vice-president of engineering, about how data pipelines and platforms are essential for artificial intelligence (AI) success.

TensorFlow provides a robust framework for new artificial intelligence (AI) developers to dive into machine learning and deep ...

The growing number of data centers is propelled by substantial investments from both governments and large enterprises in IT infrastructure. This trend is indicative of the critical role data centers ...

From a long perspective of working in the trenches of machine learning, Terry Sejnowski has been an enthusiastic advocate for ...

Introduction Fortran is one of the oldest programming languages; it was specifically designed for scientific and engineering ...

Neural networks propel AI revolution. The Nobel Prize in physics was awarded to Geoffrey Hinton, often referred to as the ...