Cloud machine learning technologies, like AWS Inferentia, are accelerating organizations’ AI transformation. Provided byAmazon Web Services Artificial intelligence and machine learning (AI and ML) are ...

Both humans and other animals are good at learning by inference, using information we do have to figure out things we cannot observe directly. New research from the Center for Mind and Brain at the ...

This post details the beginning of Bloomberg’s journey to build a machine learning inference platform. For those readers who are less familiar with the technical concepts involved in machine learning ...

Machine learning (ML)-based approaches to system development employ a fundamentally different style of programming than historically used in computer science. This approach uses example data to train ...

The promise of artificial intelligence (AI) technology is finally enjoying commercial success in many industries, including automotive, manufacturing, retail, and logistics, in the form of machine ...

SAN FRANCISCO--(BUSINESS WIRE)--Today, MLCommons, an open engineering consortium, launched a new benchmark, MLPerf™ Tiny Inference, to measure how quickly a trained neural network can process new data ...

SAN FRANCISCO – September 8, 2022 – Today, the open engineering consortium MLCommons announced results from MLPerf Inference v2.1, which analyzes the performance of inference — the application of a ...

SAN FRANCISCO – April 6, 2022 – Today MLCommons, an open engineering consortium, released new results for three MLPerf benchmark suites – Inference v2.0, Mobile v2.0, and Tiny v0.7. MLCommons said the ...

The company chose to implement one-dimensional Tensor processors (Fig. 2), which can be combined to handle two- and three-dimensional tensors. The units support a high-precision Winograd acceleration ...

One of the key challenges of machine learning is the need for large amounts of data. Gathering training datasets for machine learning models poses privacy, security, and processing risks that ...