A cohort of 20 undergraduate and first-year graduate students in computer science, computer engineering, and electrical engineering from Northwestern University, University of Illinois Chicago (UIC), ...

The creative new approach could lead to more energy-efficient machine-learning hardware. On a table in his lab at the University of Pennsylvania, physicist Sam Dillavou has connected an array of ...

Create new power and memory efficient hardware architectures to meet next-generation machine learning hardware demands. Moving machine learning to the edge has critical requirements on power and ...

As modern manufacturing increasingly relies on artificial intelligence (AI), automation, and real-time data processing, the need for faster and more energy-efficient computing systems has never been ...

Under The Hood Of Google’s TPU2 Machine Learning Clusters Crunching Machine Learning And Databases Together On GPUs Machine Learning Gets An InfiniBand Boost With Caffe2 Machine Learning Storms Into ...

Open source project that merges deep learning and big data frameworks is said to operate more efficiently at scale and require little change to existing Spark apps Want Google TensorFlow’s deep ...

z System users with data behind their firewalls can now access IBM's training and deployment system for machine learning, packaged for convenience If you’re intrigued by IBM’s Watson AI as a service, ...

Last week I sat down with executives from PlayStation and AMD to talk about their multiyear collaboration and what they're hoping to achieve on the PlayStation 5 and beyond. During this intimate ...