Technical decisions that advance inference capabilities can help deliver the promise of ubiquitous, accessible AI.

Introduction The convergence of artificial intelligence (AI) and cloud computing is redefining the way businesses manage ...

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization by rapidly predicting molecular interactions and properties. For instance, ...

If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto ...

MIT and NVIDIA researchers created a GPU-accelerated algorithm that lets robots plan complex tasks in seconds, boosting industrial efficiency.

MLCommons' AI training tests show that the more chips you have, the more critical the network that's between them.

MLCommons' AI training tests show that the more chips you have, the more critical the network that's between them.

Data centers and cloud computing need multi-core and multi-socket scalability. And while the basic building blocks can be ...

The new supercomputer shows the increasing desire of government labs to adopt more technologies from commercial artificial ...

However, few efforts have described methods to select information between data sources, which may affect data use. We developed a systematic ... of automated decision-making programs or machine ...

How to put the pieces together in a complex design with AI is an unsolved problem.

Artificial intelligence (AI) has become a pivotal field in scientific research, yet its progress has been limited by reliance on massive datasets, high ...